https://wiki.nikhef.nl/atlas/api.php?action=feedcontributions&user=Barison&feedformat=atomAtlas Wiki - User contributions [en]2024-03-28T17:24:05ZUser contributionsMediaWiki 1.35.3https://wiki.nikhef.nl/atlas/index.php?title=User:Barison&diff=4672User:Barison2008-01-10T13:29:07Z<p>Barison: </p>
<hr />
<div>== TopView -> 13 Logbook ==<br />
<br />
<br />
== 15/11/2007 ==<br />
<br />
<br />
I copied the Analysis_topOptions.py file to the run dir and tried running it. <br />
<br />
Uncommenting "from TopView import *" produces:<br />
<br />
File "/afs/cern.ch/atlas/software/builds/AtlasCore/13.0.30/InstallArea/share/bin/athena.py", line 352, in ?<br />
include( script )<br />
File "./mytry.py", line 13, in ?<br />
from TopView import *<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 39, in ?<br />
init()<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 26, in init<br />
c = __import__( mod )<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/MergeMuonAndJetTag_module.py", line 3, in ?<br />
class MergeMuonAndJetTag(EVModule):<br />
TypeError: Error when calling the metaclass bases<br />
module.__init__() takes at most 2 arguments (3 given)</nowiki><br />
<br />
and:<br />
<br />
File "/afs/cern.ch/atlas/software/builds/AtlasCore/13.0.30/InstallArea/share/bin/athena.py", line 352, in ?<br />
include( script )<br />
File "./LocalOverride.py", line 23, in ?<br />
include("Analysis_topOptions.py")<br />
File "./Analysis_topOptions.py", line 17, in ?<br />
from TopView import *<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 39, in ?<br />
init()<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 26, in init<br />
c = __import__( mod )<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/SubtractElecFromJet_module.py", line 3, in ?<br />
class SubtractElecFromJet(EVModule):<br />
TypeError: Error when calling the metaclass bases<br />
module.__init__() takes at most 2 arguments (3 given)<br />
<br />
This is quite easy to solve: open MergeMuonAndJetTag_module.py and SubtractElecFromJet_module.py and replace <br />
<br />
from EventViewConfiguration import * <br />
<br />
with:<br />
<br />
from EventViewConfiguration.EVModule import *<br />
<br />
But then I get:<br />
<br />
File "/afs/cern.ch/atlas/software/builds/AtlasCore/13.0.30/InstallArea/share/bin/athena.py", line 352, in ?<br />
include( script )<br />
File "./LocalOverride.py", line 23, in ?<br />
include("Analysis_topOptions.py")<br />
File "./Analysis_topOptions.py", line 21, in ?<br />
theApp.Dlls += ["TopTools"]<br />
File "/afs/cern.ch/atlas/offline/external/GAUDI/v19r4p3/GaudiPython/python/gaudimodule.py", line 149, in __setattr__<br />
prop.fromString( value )<br />
RuntimeError: (file "", line 0) Failed to load DLLs. (C++ exception)<br />
<br />
<br />
This is caused because TopTools cannot be found: cmt show packages | grep TopTools returns no results<br />
<br />
== 19/11/2007 ==<br />
<br />
I removed the loading of TopTools and SUSYView from the jobOptions file, and went on debugging...<br />
<br />
Now I have a problem with the MuonInserter, as it doesn't recognize the "FullReco" configuration label. In HighPtMuonInserter you have now two labels:<br />
"FullReco,Muid" and "FullReco,Staco"<br />
<br />
There are two possible solutions to fix this: change HighPtView to use "FullReco" as an alias for "FullReco,Staco" or do it in TopView. I think I'll do it in TopView for the time being.<br />
<br />
The same goes for TauInserter: the config tags are now "FullReco,TauRec" and "FullReco,Tau1p3p".<br />
<br />
These problems are solved in the tag TopView-00-12-14-02, so I am checking it out and see if it can work with r13.<br />
<br />
I see that indeed I miss these packages:<br />
#CMT> Warning: package TopTools TopTools-* PhysicsAnalysis/TopPhys not found (requested by TopView)<br />
#CMT> Warning: package ElectronPhotonIDEvent ElectronPhotonIDEvent-* PhysicsAnalysis/ElectronPhotonID not found (requested by TopView)<br />
#CMT> Warning: package TauIDEvent TauIDEvent-* PhysicsAnalysis/TauID not found (requested by TopView)<br />
<br />
TauIDEvent probably obsolete: changed #include "TauIDEvent/TauJetContainer.h" to #include "tauEvent/TauJetContainer.h"<br />
Same applies for Electron/Photons and Muons<br />
<br />
To circumvent the need for TopTools, I have disabled EVHitFitTool.<br />
<br />
<br />
== 21/11/2007 ==<br />
<br />
AttributeError: '<class 'EventViewBuilderAlgs.EventViewBuilderAlgsConf.EVMultipleOutputToolLooper'>' object has no attribute 'morph'<br />
<br />
<br />
== 23/11/2007 ==<br />
<br />
*Finally Running!*<br />
<br />
But I have double of everything!<br />
<br />
<br />
== 29/11/2007 ==<br />
<br />
I should remove the do1mm bug flag, as it gives an error at:<br />
"ElectronPhotonAlgs/ElectronPhotonCorrector_jobOptions.py"<br />
<br />
<br />
== 10/01/2008 ==<br />
<br />
Basic set-up for 13.0.30.3 (recommended)<br />
To use the release you need to do the following. As usual create your working directory and then do the default set-up for 13.0.30 as for example explained in the WorkBook. For 13.0.30.3 we need to add the cache on top of release 13. More detailed information on how to use the cache can be found here.<br />
<br />
source /afs/cern.ch/sw/contrib/CMT/v1r20p20070720/mgr/setup.sh<br />
cmt config<br />
source setup.sh -tag=13.0.30,gcc323<br />
export CMTPATH=<myWorkDir>:/afs/cern.ch/atlas/software/releases/13.0.30/AtlasProduction/13.0.30.3<br />
. /afs/cern.ch/atlas/software/releases/13.0.30/AtlasProduction/13.0.30.3/AtlasProductionRunTime/cmt/setup.sh<br />
mkdir AtlasProduction-13.0.30<br />
cd AtlasProduction-13.0.30<br />
mkdir run<br />
cd run<br />
RecExCommon_links.sh<br />
<br />
<br />
CTP flags should be in:<br />
<br />
204 include("TrigEgammaHypo/TriggerConfig_Egamma_flags.py")<br />
205 include("TrigTauHypo/TriggerConfig_Tau_flags.py")<br />
206 include("TrigJetHypo/TriggerConfig_Jet_flags.py")<br />
207 include("TrigBjetHypo/TriggerConfig_Bjet_flags.py")<br />
208 include("TrigMissingETHypo/TriggerConfig_MET_flags.py")<br />
209 include("TrigMuonHypo/TriggerConfig_Muon_flags.py")<br />
210 include("TrigBphysHypo/TriggerConfig_Bphysics_flags.py")<br />
211 include("TrigL2CosmicMuonHypo/TriggerConfig_Cosmic_flags.py")</div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=User:Barison&diff=1965User:Barison2008-01-10T13:20:49Z<p>Barison: </p>
<hr />
<div>== TopView -> 13 Logbook ==<br />
<br />
<br />
== 15/11/2007 ==<br />
<br />
<br />
I copied the Analysis_topOptions.py file to the run dir and tried running it. <br />
<br />
Uncommenting "from TopView import *" produces:<br />
<br />
File "/afs/cern.ch/atlas/software/builds/AtlasCore/13.0.30/InstallArea/share/bin/athena.py", line 352, in ?<br />
include( script )<br />
File "./mytry.py", line 13, in ?<br />
from TopView import *<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 39, in ?<br />
init()<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 26, in init<br />
c = __import__( mod )<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/MergeMuonAndJetTag_module.py", line 3, in ?<br />
class MergeMuonAndJetTag(EVModule):<br />
TypeError: Error when calling the metaclass bases<br />
module.__init__() takes at most 2 arguments (3 given)</nowiki><br />
<br />
and:<br />
<br />
File "/afs/cern.ch/atlas/software/builds/AtlasCore/13.0.30/InstallArea/share/bin/athena.py", line 352, in ?<br />
include( script )<br />
File "./LocalOverride.py", line 23, in ?<br />
include("Analysis_topOptions.py")<br />
File "./Analysis_topOptions.py", line 17, in ?<br />
from TopView import *<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 39, in ?<br />
init()<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 26, in init<br />
c = __import__( mod )<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/SubtractElecFromJet_module.py", line 3, in ?<br />
class SubtractElecFromJet(EVModule):<br />
TypeError: Error when calling the metaclass bases<br />
module.__init__() takes at most 2 arguments (3 given)<br />
<br />
This is quite easy to solve: open MergeMuonAndJetTag_module.py and SubtractElecFromJet_module.py and replace <br />
<br />
from EventViewConfiguration import * <br />
<br />
with:<br />
<br />
from EventViewConfiguration.EVModule import *<br />
<br />
But then I get:<br />
<br />
File "/afs/cern.ch/atlas/software/builds/AtlasCore/13.0.30/InstallArea/share/bin/athena.py", line 352, in ?<br />
include( script )<br />
File "./LocalOverride.py", line 23, in ?<br />
include("Analysis_topOptions.py")<br />
File "./Analysis_topOptions.py", line 21, in ?<br />
theApp.Dlls += ["TopTools"]<br />
File "/afs/cern.ch/atlas/offline/external/GAUDI/v19r4p3/GaudiPython/python/gaudimodule.py", line 149, in __setattr__<br />
prop.fromString( value )<br />
RuntimeError: (file "", line 0) Failed to load DLLs. (C++ exception)<br />
<br />
<br />
This is caused because TopTools cannot be found: cmt show packages | grep TopTools returns no results<br />
<br />
== 19/11/2007 ==<br />
<br />
I removed the loading of TopTools and SUSYView from the jobOptions file, and went on debugging...<br />
<br />
Now I have a problem with the MuonInserter, as it doesn't recognize the "FullReco" configuration label. In HighPtMuonInserter you have now two labels:<br />
"FullReco,Muid" and "FullReco,Staco"<br />
<br />
There are two possible solutions to fix this: change HighPtView to use "FullReco" as an alias for "FullReco,Staco" or do it in TopView. I think I'll do it in TopView for the time being.<br />
<br />
The same goes for TauInserter: the config tags are now "FullReco,TauRec" and "FullReco,Tau1p3p".<br />
<br />
These problems are solved in the tag TopView-00-12-14-02, so I am checking it out and see if it can work with r13.<br />
<br />
I see that indeed I miss these packages:<br />
#CMT> Warning: package TopTools TopTools-* PhysicsAnalysis/TopPhys not found (requested by TopView)<br />
#CMT> Warning: package ElectronPhotonIDEvent ElectronPhotonIDEvent-* PhysicsAnalysis/ElectronPhotonID not found (requested by TopView)<br />
#CMT> Warning: package TauIDEvent TauIDEvent-* PhysicsAnalysis/TauID not found (requested by TopView)<br />
<br />
TauIDEvent probably obsolete: changed #include "TauIDEvent/TauJetContainer.h" to #include "tauEvent/TauJetContainer.h"<br />
Same applies for Electron/Photons and Muons<br />
<br />
To circumvent the need for TopTools, I have disabled EVHitFitTool.<br />
<br />
<br />
== 21/11/2007 ==<br />
<br />
AttributeError: '<class 'EventViewBuilderAlgs.EventViewBuilderAlgsConf.EVMultipleOutputToolLooper'>' object has no attribute 'morph'<br />
<br />
<br />
== 23/11/2007 ==<br />
<br />
*Finally Running!*<br />
<br />
But I have double of everything!<br />
<br />
<br />
== 29/11/2007 ==<br />
<br />
I should remove the do1mm bug flag, as it gives an error at:<br />
"ElectronPhotonAlgs/ElectronPhotonCorrector_jobOptions.py"<br />
<br />
<br />
== 10/01/2008 ==<br />
CTP flags should be in:<br />
<br />
204 include("TrigEgammaHypo/TriggerConfig_Egamma_flags.py")<br />
205 include("TrigTauHypo/TriggerConfig_Tau_flags.py")<br />
206 include("TrigJetHypo/TriggerConfig_Jet_flags.py")<br />
207 include("TrigBjetHypo/TriggerConfig_Bjet_flags.py")<br />
208 include("TrigMissingETHypo/TriggerConfig_MET_flags.py")<br />
209 include("TrigMuonHypo/TriggerConfig_Muon_flags.py")<br />
210 include("TrigBphysHypo/TriggerConfig_Bphysics_flags.py")<br />
211 include("TrigL2CosmicMuonHypo/TriggerConfig_Cosmic_flags.py")</div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=User:Barison&diff=1964User:Barison2007-11-29T13:58:46Z<p>Barison: </p>
<hr />
<div>== TopView -> 13 Logbook ==<br />
<br />
<br />
== 15/11/2007 ==<br />
<br />
<br />
I copied the Analysis_topOptions.py file to the run dir and tried running it. <br />
<br />
Uncommenting "from TopView import *" produces:<br />
<br />
File "/afs/cern.ch/atlas/software/builds/AtlasCore/13.0.30/InstallArea/share/bin/athena.py", line 352, in ?<br />
include( script )<br />
File "./mytry.py", line 13, in ?<br />
from TopView import *<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 39, in ?<br />
init()<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 26, in init<br />
c = __import__( mod )<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/MergeMuonAndJetTag_module.py", line 3, in ?<br />
class MergeMuonAndJetTag(EVModule):<br />
TypeError: Error when calling the metaclass bases<br />
module.__init__() takes at most 2 arguments (3 given)</nowiki><br />
<br />
and:<br />
<br />
File "/afs/cern.ch/atlas/software/builds/AtlasCore/13.0.30/InstallArea/share/bin/athena.py", line 352, in ?<br />
include( script )<br />
File "./LocalOverride.py", line 23, in ?<br />
include("Analysis_topOptions.py")<br />
File "./Analysis_topOptions.py", line 17, in ?<br />
from TopView import *<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 39, in ?<br />
init()<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 26, in init<br />
c = __import__( mod )<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/SubtractElecFromJet_module.py", line 3, in ?<br />
class SubtractElecFromJet(EVModule):<br />
TypeError: Error when calling the metaclass bases<br />
module.__init__() takes at most 2 arguments (3 given)<br />
<br />
This is quite easy to solve: open MergeMuonAndJetTag_module.py and SubtractElecFromJet_module.py and replace <br />
<br />
from EventViewConfiguration import * <br />
<br />
with:<br />
<br />
from EventViewConfiguration.EVModule import *<br />
<br />
But then I get:<br />
<br />
File "/afs/cern.ch/atlas/software/builds/AtlasCore/13.0.30/InstallArea/share/bin/athena.py", line 352, in ?<br />
include( script )<br />
File "./LocalOverride.py", line 23, in ?<br />
include("Analysis_topOptions.py")<br />
File "./Analysis_topOptions.py", line 21, in ?<br />
theApp.Dlls += ["TopTools"]<br />
File "/afs/cern.ch/atlas/offline/external/GAUDI/v19r4p3/GaudiPython/python/gaudimodule.py", line 149, in __setattr__<br />
prop.fromString( value )<br />
RuntimeError: (file "", line 0) Failed to load DLLs. (C++ exception)<br />
<br />
<br />
This is caused because TopTools cannot be found: cmt show packages | grep TopTools returns no results<br />
<br />
== 19/11/2007 ==<br />
<br />
I removed the loading of TopTools and SUSYView from the jobOptions file, and went on debugging...<br />
<br />
Now I have a problem with the MuonInserter, as it doesn't recognize the "FullReco" configuration label. In HighPtMuonInserter you have now two labels:<br />
"FullReco,Muid" and "FullReco,Staco"<br />
<br />
There are two possible solutions to fix this: change HighPtView to use "FullReco" as an alias for "FullReco,Staco" or do it in TopView. I think I'll do it in TopView for the time being.<br />
<br />
The same goes for TauInserter: the config tags are now "FullReco,TauRec" and "FullReco,Tau1p3p".<br />
<br />
These problems are solved in the tag TopView-00-12-14-02, so I am checking it out and see if it can work with r13.<br />
<br />
I see that indeed I miss these packages:<br />
#CMT> Warning: package TopTools TopTools-* PhysicsAnalysis/TopPhys not found (requested by TopView)<br />
#CMT> Warning: package ElectronPhotonIDEvent ElectronPhotonIDEvent-* PhysicsAnalysis/ElectronPhotonID not found (requested by TopView)<br />
#CMT> Warning: package TauIDEvent TauIDEvent-* PhysicsAnalysis/TauID not found (requested by TopView)<br />
<br />
TauIDEvent probably obsolete: changed #include "TauIDEvent/TauJetContainer.h" to #include "tauEvent/TauJetContainer.h"<br />
Same applies for Electron/Photons and Muons<br />
<br />
To circumvent the need for TopTools, I have disabled EVHitFitTool.<br />
<br />
<br />
== 21/11/2007 ==<br />
<br />
AttributeError: '<class 'EventViewBuilderAlgs.EventViewBuilderAlgsConf.EVMultipleOutputToolLooper'>' object has no attribute 'morph'<br />
<br />
<br />
== 23/11/2007 ==<br />
<br />
*Finally Running!*<br />
<br />
But I have double of everything!<br />
<br />
<br />
== 29/11/2007 ==<br />
<br />
I should remove the do1mm bug flag, as it gives an error at:<br />
"ElectronPhotonAlgs/ElectronPhotonCorrector_jobOptions.py"</div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=User:Barison&diff=1963User:Barison2007-11-23T15:52:24Z<p>Barison: </p>
<hr />
<div>== TopView -> 13 Logbook ==<br />
<br />
<br />
== 15/11/2007 ==<br />
<br />
<br />
I copied the Analysis_topOptions.py file to the run dir and tried running it. <br />
<br />
Uncommenting "from TopView import *" produces:<br />
<br />
File "/afs/cern.ch/atlas/software/builds/AtlasCore/13.0.30/InstallArea/share/bin/athena.py", line 352, in ?<br />
include( script )<br />
File "./mytry.py", line 13, in ?<br />
from TopView import *<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 39, in ?<br />
init()<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 26, in init<br />
c = __import__( mod )<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/MergeMuonAndJetTag_module.py", line 3, in ?<br />
class MergeMuonAndJetTag(EVModule):<br />
TypeError: Error when calling the metaclass bases<br />
module.__init__() takes at most 2 arguments (3 given)</nowiki><br />
<br />
and:<br />
<br />
File "/afs/cern.ch/atlas/software/builds/AtlasCore/13.0.30/InstallArea/share/bin/athena.py", line 352, in ?<br />
include( script )<br />
File "./LocalOverride.py", line 23, in ?<br />
include("Analysis_topOptions.py")<br />
File "./Analysis_topOptions.py", line 17, in ?<br />
from TopView import *<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 39, in ?<br />
init()<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 26, in init<br />
c = __import__( mod )<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/SubtractElecFromJet_module.py", line 3, in ?<br />
class SubtractElecFromJet(EVModule):<br />
TypeError: Error when calling the metaclass bases<br />
module.__init__() takes at most 2 arguments (3 given)<br />
<br />
This is quite easy to solve: open MergeMuonAndJetTag_module.py and SubtractElecFromJet_module.py and replace <br />
<br />
from EventViewConfiguration import * <br />
<br />
with:<br />
<br />
from EventViewConfiguration.EVModule import *<br />
<br />
But then I get:<br />
<br />
File "/afs/cern.ch/atlas/software/builds/AtlasCore/13.0.30/InstallArea/share/bin/athena.py", line 352, in ?<br />
include( script )<br />
File "./LocalOverride.py", line 23, in ?<br />
include("Analysis_topOptions.py")<br />
File "./Analysis_topOptions.py", line 21, in ?<br />
theApp.Dlls += ["TopTools"]<br />
File "/afs/cern.ch/atlas/offline/external/GAUDI/v19r4p3/GaudiPython/python/gaudimodule.py", line 149, in __setattr__<br />
prop.fromString( value )<br />
RuntimeError: (file "", line 0) Failed to load DLLs. (C++ exception)<br />
<br />
<br />
This is caused because TopTools cannot be found: cmt show packages | grep TopTools returns no results<br />
<br />
== 19/11/2007 ==<br />
<br />
I removed the loading of TopTools and SUSYView from the jobOptions file, and went on debugging...<br />
<br />
Now I have a problem with the MuonInserter, as it doesn't recognize the "FullReco" configuration label. In HighPtMuonInserter you have now two labels:<br />
"FullReco,Muid" and "FullReco,Staco"<br />
<br />
There are two possible solutions to fix this: change HighPtView to use "FullReco" as an alias for "FullReco,Staco" or do it in TopView. I think I'll do it in TopView for the time being.<br />
<br />
The same goes for TauInserter: the config tags are now "FullReco,TauRec" and "FullReco,Tau1p3p".<br />
<br />
These problems are solved in the tag TopView-00-12-14-02, so I am checking it out and see if it can work with r13.<br />
<br />
I see that indeed I miss these packages:<br />
#CMT> Warning: package TopTools TopTools-* PhysicsAnalysis/TopPhys not found (requested by TopView)<br />
#CMT> Warning: package ElectronPhotonIDEvent ElectronPhotonIDEvent-* PhysicsAnalysis/ElectronPhotonID not found (requested by TopView)<br />
#CMT> Warning: package TauIDEvent TauIDEvent-* PhysicsAnalysis/TauID not found (requested by TopView)<br />
<br />
TauIDEvent probably obsolete: changed #include "TauIDEvent/TauJetContainer.h" to #include "tauEvent/TauJetContainer.h"<br />
Same applies for Electron/Photons and Muons<br />
<br />
To circumvent the need for TopTools, I have disabled EVHitFitTool.<br />
<br />
<br />
== 21/11/2007 ==<br />
<br />
AttributeError: '<class 'EventViewBuilderAlgs.EventViewBuilderAlgsConf.EVMultipleOutputToolLooper'>' object has no attribute 'morph'<br />
<br />
<br />
== 23/11/2007 ==<br />
<br />
*Finally Running!*<br />
<br />
But I have double of everything!</div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=User:Barison&diff=1958User:Barison2007-11-21T14:22:28Z<p>Barison: </p>
<hr />
<div>== TopView -> 13 Logbook ==<br />
<br />
<br />
== 15/11/2007 ==<br />
<br />
<br />
I copied the Analysis_topOptions.py file to the run dir and tried running it. <br />
<br />
Uncommenting "from TopView import *" produces:<br />
<br />
File "/afs/cern.ch/atlas/software/builds/AtlasCore/13.0.30/InstallArea/share/bin/athena.py", line 352, in ?<br />
include( script )<br />
File "./mytry.py", line 13, in ?<br />
from TopView import *<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 39, in ?<br />
init()<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 26, in init<br />
c = __import__( mod )<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/MergeMuonAndJetTag_module.py", line 3, in ?<br />
class MergeMuonAndJetTag(EVModule):<br />
TypeError: Error when calling the metaclass bases<br />
module.__init__() takes at most 2 arguments (3 given)</nowiki><br />
<br />
and:<br />
<br />
File "/afs/cern.ch/atlas/software/builds/AtlasCore/13.0.30/InstallArea/share/bin/athena.py", line 352, in ?<br />
include( script )<br />
File "./LocalOverride.py", line 23, in ?<br />
include("Analysis_topOptions.py")<br />
File "./Analysis_topOptions.py", line 17, in ?<br />
from TopView import *<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 39, in ?<br />
init()<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 26, in init<br />
c = __import__( mod )<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/SubtractElecFromJet_module.py", line 3, in ?<br />
class SubtractElecFromJet(EVModule):<br />
TypeError: Error when calling the metaclass bases<br />
module.__init__() takes at most 2 arguments (3 given)<br />
<br />
This is quite easy to solve: open MergeMuonAndJetTag_module.py and SubtractElecFromJet_module.py and replace <br />
<br />
from EventViewConfiguration import * <br />
<br />
with:<br />
<br />
from EventViewConfiguration.EVModule import *<br />
<br />
But then I get:<br />
<br />
File "/afs/cern.ch/atlas/software/builds/AtlasCore/13.0.30/InstallArea/share/bin/athena.py", line 352, in ?<br />
include( script )<br />
File "./LocalOverride.py", line 23, in ?<br />
include("Analysis_topOptions.py")<br />
File "./Analysis_topOptions.py", line 21, in ?<br />
theApp.Dlls += ["TopTools"]<br />
File "/afs/cern.ch/atlas/offline/external/GAUDI/v19r4p3/GaudiPython/python/gaudimodule.py", line 149, in __setattr__<br />
prop.fromString( value )<br />
RuntimeError: (file "", line 0) Failed to load DLLs. (C++ exception)<br />
<br />
<br />
This is caused because TopTools cannot be found: cmt show packages | grep TopTools returns no results<br />
<br />
== 19/11/2007 ==<br />
<br />
I removed the loading of TopTools and SUSYView from the jobOptions file, and went on debugging...<br />
<br />
Now I have a problem with the MuonInserter, as it doesn't recognize the "FullReco" configuration label. In HighPtMuonInserter you have now two labels:<br />
"FullReco,Muid" and "FullReco,Staco"<br />
<br />
There are two possible solutions to fix this: change HighPtView to use "FullReco" as an alias for "FullReco,Staco" or do it in TopView. I think I'll do it in TopView for the time being.<br />
<br />
The same goes for TauInserter: the config tags are now "FullReco,TauRec" and "FullReco,Tau1p3p".<br />
<br />
These problems are solved in the tag TopView-00-12-14-02, so I am checking it out and see if it can work with r13.<br />
<br />
I see that indeed I miss these packages:<br />
#CMT> Warning: package TopTools TopTools-* PhysicsAnalysis/TopPhys not found (requested by TopView)<br />
#CMT> Warning: package ElectronPhotonIDEvent ElectronPhotonIDEvent-* PhysicsAnalysis/ElectronPhotonID not found (requested by TopView)<br />
#CMT> Warning: package TauIDEvent TauIDEvent-* PhysicsAnalysis/TauID not found (requested by TopView)<br />
<br />
TauIDEvent probably obsolete: changed #include "TauIDEvent/TauJetContainer.h" to #include "tauEvent/TauJetContainer.h"<br />
Same applies for Electron/Photons and Muons<br />
<br />
To circumvent the need for TopTools, I have disabled EVHitFitTool.<br />
<br />
<br />
== 21/11/2007 ==<br />
<br />
AttributeError: '<class 'EventViewBuilderAlgs.EventViewBuilderAlgsConf.EVMultipleOutputToolLooper'>' object has no attribute 'morph'</div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=User:Barison&diff=1957User:Barison2007-11-19T13:13:15Z<p>Barison: /* 19/11/2007 */</p>
<hr />
<div>== TopView -> 13 Logbook ==<br />
<br />
<br />
== 15/11/2007 ==<br />
<br />
<br />
I copied the Analysis_topOptions.py file to the run dir and tried running it. <br />
<br />
Uncommenting "from TopView import *" produces:<br />
<br />
File "/afs/cern.ch/atlas/software/builds/AtlasCore/13.0.30/InstallArea/share/bin/athena.py", line 352, in ?<br />
include( script )<br />
File "./mytry.py", line 13, in ?<br />
from TopView import *<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 39, in ?<br />
init()<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 26, in init<br />
c = __import__( mod )<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/MergeMuonAndJetTag_module.py", line 3, in ?<br />
class MergeMuonAndJetTag(EVModule):<br />
TypeError: Error when calling the metaclass bases<br />
module.__init__() takes at most 2 arguments (3 given)</nowiki><br />
<br />
and:<br />
<br />
File "/afs/cern.ch/atlas/software/builds/AtlasCore/13.0.30/InstallArea/share/bin/athena.py", line 352, in ?<br />
include( script )<br />
File "./LocalOverride.py", line 23, in ?<br />
include("Analysis_topOptions.py")<br />
File "./Analysis_topOptions.py", line 17, in ?<br />
from TopView import *<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 39, in ?<br />
init()<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 26, in init<br />
c = __import__( mod )<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/SubtractElecFromJet_module.py", line 3, in ?<br />
class SubtractElecFromJet(EVModule):<br />
TypeError: Error when calling the metaclass bases<br />
module.__init__() takes at most 2 arguments (3 given)<br />
<br />
This is quite easy to solve: open MergeMuonAndJetTag_module.py and SubtractElecFromJet_module.py and replace <br />
<br />
from EventViewConfiguration import * <br />
<br />
with:<br />
<br />
from EventViewConfiguration.EVModule import *<br />
<br />
But then I get:<br />
<br />
File "/afs/cern.ch/atlas/software/builds/AtlasCore/13.0.30/InstallArea/share/bin/athena.py", line 352, in ?<br />
include( script )<br />
File "./LocalOverride.py", line 23, in ?<br />
include("Analysis_topOptions.py")<br />
File "./Analysis_topOptions.py", line 21, in ?<br />
theApp.Dlls += ["TopTools"]<br />
File "/afs/cern.ch/atlas/offline/external/GAUDI/v19r4p3/GaudiPython/python/gaudimodule.py", line 149, in __setattr__<br />
prop.fromString( value )<br />
RuntimeError: (file "", line 0) Failed to load DLLs. (C++ exception)<br />
<br />
<br />
This is caused because TopTools cannot be found: cmt show packages | grep TopTools returns no results<br />
<br />
== 19/11/2007 ==<br />
<br />
I removed the loading of TopTools and SUSYView from the jobOptions file, and went on debugging...<br />
<br />
Now I have a problem with the MuonInserter, as it doesn't recognize the "FullReco" configuration label. In HighPtMuonInserter you have now two labels:<br />
"FullReco,Muid" and "FullReco,Staco"<br />
<br />
There are two possible solutions to fix this: change HighPtView to use "FullReco" as an alias for "FullReco,Staco" or do it in TopView. I think I'll do it in TopView for the time being.<br />
<br />
The same goes for TauInserter: the config tags are now "FullReco,TauRec" and "FullReco,Tau1p3p".<br />
<br />
These problems are solved in the tag TopView-00-12-14-02, so I am checking it out and see if it can work with r13.<br />
<br />
I see that indeed I miss these packages:<br />
#CMT> Warning: package TopTools TopTools-* PhysicsAnalysis/TopPhys not found (requested by TopView)<br />
#CMT> Warning: package ElectronPhotonIDEvent ElectronPhotonIDEvent-* PhysicsAnalysis/ElectronPhotonID not found (requested by TopView)<br />
#CMT> Warning: package TauIDEvent TauIDEvent-* PhysicsAnalysis/TauID not found (requested by TopView)<br />
<br />
TauIDEvent probably obsolete: changed #include "TauIDEvent/TauJetContainer.h" to #include "tauEvent/TauJetContainer.h"<br />
Same applies for Electron/Photons and Muons<br />
<br />
To circumvent the need for TopTools, I have disabled EVHitFitTool.</div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=User:Barison&diff=1955User:Barison2007-11-19T12:52:48Z<p>Barison: /* 19/11/2007 */</p>
<hr />
<div>== TopView -> 13 Logbook ==<br />
<br />
<br />
== 15/11/2007 ==<br />
<br />
<br />
I copied the Analysis_topOptions.py file to the run dir and tried running it. <br />
<br />
Uncommenting "from TopView import *" produces:<br />
<br />
File "/afs/cern.ch/atlas/software/builds/AtlasCore/13.0.30/InstallArea/share/bin/athena.py", line 352, in ?<br />
include( script )<br />
File "./mytry.py", line 13, in ?<br />
from TopView import *<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 39, in ?<br />
init()<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 26, in init<br />
c = __import__( mod )<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/MergeMuonAndJetTag_module.py", line 3, in ?<br />
class MergeMuonAndJetTag(EVModule):<br />
TypeError: Error when calling the metaclass bases<br />
module.__init__() takes at most 2 arguments (3 given)</nowiki><br />
<br />
and:<br />
<br />
File "/afs/cern.ch/atlas/software/builds/AtlasCore/13.0.30/InstallArea/share/bin/athena.py", line 352, in ?<br />
include( script )<br />
File "./LocalOverride.py", line 23, in ?<br />
include("Analysis_topOptions.py")<br />
File "./Analysis_topOptions.py", line 17, in ?<br />
from TopView import *<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 39, in ?<br />
init()<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 26, in init<br />
c = __import__( mod )<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/SubtractElecFromJet_module.py", line 3, in ?<br />
class SubtractElecFromJet(EVModule):<br />
TypeError: Error when calling the metaclass bases<br />
module.__init__() takes at most 2 arguments (3 given)<br />
<br />
This is quite easy to solve: open MergeMuonAndJetTag_module.py and SubtractElecFromJet_module.py and replace <br />
<br />
from EventViewConfiguration import * <br />
<br />
with:<br />
<br />
from EventViewConfiguration.EVModule import *<br />
<br />
But then I get:<br />
<br />
File "/afs/cern.ch/atlas/software/builds/AtlasCore/13.0.30/InstallArea/share/bin/athena.py", line 352, in ?<br />
include( script )<br />
File "./LocalOverride.py", line 23, in ?<br />
include("Analysis_topOptions.py")<br />
File "./Analysis_topOptions.py", line 21, in ?<br />
theApp.Dlls += ["TopTools"]<br />
File "/afs/cern.ch/atlas/offline/external/GAUDI/v19r4p3/GaudiPython/python/gaudimodule.py", line 149, in __setattr__<br />
prop.fromString( value )<br />
RuntimeError: (file "", line 0) Failed to load DLLs. (C++ exception)<br />
<br />
<br />
This is caused because TopTools cannot be found: cmt show packages | grep TopTools returns no results<br />
<br />
== 19/11/2007 ==<br />
<br />
I removed the loading of TopTools and SUSYView from the jobOptions file, and went on debugging...<br />
<br />
Now I have a problem with the MuonInserter, as it doesn't recognize the "FullReco" configuration label. In HighPtMuonInserter you have now two labels:<br />
"FullReco,Muid" and "FullReco,Staco"<br />
<br />
There are two possible solutions to fix this: change HighPtView to use "FullReco" as an alias for "FullReco,Staco" or do it in TopView. I think I'll do it in TopView for the time being.<br />
<br />
The same goes for TauInserter: the config tags are now "FullReco,TauRec" and "FullReco,Tau1p3p".<br />
<br />
These problems are solved in the tag TopView-00-12-14-02, so I am checking it out and see if it can work with r13.<br />
<br />
I see that indeed I miss these packages:<br />
#CMT> Warning: package TopTools TopTools-* PhysicsAnalysis/TopPhys not found (requested by TopView)<br />
#CMT> Warning: package ElectronPhotonIDEvent ElectronPhotonIDEvent-* PhysicsAnalysis/ElectronPhotonID not found (requested by TopView)<br />
#CMT> Warning: package TauIDEvent TauIDEvent-* PhysicsAnalysis/TauID not found (requested by TopView)<br />
<br />
TauIDEvent probably obsolete: changed #include "TauIDEvent/TauJetContainer.h" to #include "tauEvent/TauJetContainer.h"</div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=User:Barison&diff=1954User:Barison2007-11-19T12:40:49Z<p>Barison: /* 19/11/2007 */</p>
<hr />
<div>== TopView -> 13 Logbook ==<br />
<br />
<br />
== 15/11/2007 ==<br />
<br />
<br />
I copied the Analysis_topOptions.py file to the run dir and tried running it. <br />
<br />
Uncommenting "from TopView import *" produces:<br />
<br />
File "/afs/cern.ch/atlas/software/builds/AtlasCore/13.0.30/InstallArea/share/bin/athena.py", line 352, in ?<br />
include( script )<br />
File "./mytry.py", line 13, in ?<br />
from TopView import *<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 39, in ?<br />
init()<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 26, in init<br />
c = __import__( mod )<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/MergeMuonAndJetTag_module.py", line 3, in ?<br />
class MergeMuonAndJetTag(EVModule):<br />
TypeError: Error when calling the metaclass bases<br />
module.__init__() takes at most 2 arguments (3 given)</nowiki><br />
<br />
and:<br />
<br />
File "/afs/cern.ch/atlas/software/builds/AtlasCore/13.0.30/InstallArea/share/bin/athena.py", line 352, in ?<br />
include( script )<br />
File "./LocalOverride.py", line 23, in ?<br />
include("Analysis_topOptions.py")<br />
File "./Analysis_topOptions.py", line 17, in ?<br />
from TopView import *<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 39, in ?<br />
init()<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 26, in init<br />
c = __import__( mod )<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/SubtractElecFromJet_module.py", line 3, in ?<br />
class SubtractElecFromJet(EVModule):<br />
TypeError: Error when calling the metaclass bases<br />
module.__init__() takes at most 2 arguments (3 given)<br />
<br />
This is quite easy to solve: open MergeMuonAndJetTag_module.py and SubtractElecFromJet_module.py and replace <br />
<br />
from EventViewConfiguration import * <br />
<br />
with:<br />
<br />
from EventViewConfiguration.EVModule import *<br />
<br />
But then I get:<br />
<br />
File "/afs/cern.ch/atlas/software/builds/AtlasCore/13.0.30/InstallArea/share/bin/athena.py", line 352, in ?<br />
include( script )<br />
File "./LocalOverride.py", line 23, in ?<br />
include("Analysis_topOptions.py")<br />
File "./Analysis_topOptions.py", line 21, in ?<br />
theApp.Dlls += ["TopTools"]<br />
File "/afs/cern.ch/atlas/offline/external/GAUDI/v19r4p3/GaudiPython/python/gaudimodule.py", line 149, in __setattr__<br />
prop.fromString( value )<br />
RuntimeError: (file "", line 0) Failed to load DLLs. (C++ exception)<br />
<br />
<br />
This is caused because TopTools cannot be found: cmt show packages | grep TopTools returns no results<br />
<br />
== 19/11/2007 ==<br />
<br />
I removed the loading of TopTools and SUSYView from the jobOptions file, and went on debugging...<br />
<br />
Now I have a problem with the MuonInserter, as it doesn't recognize the "FullReco" configuration label. In HighPtMuonInserter you have now two labels:<br />
"FullReco,Muid" and "FullReco,Staco"<br />
<br />
There are two possible solutions to fix this: change HighPtView to use "FullReco" as an alias for "FullReco,Staco" or do it in TopView. I think I'll do it in TopView for the time being.<br />
<br />
The same goes for TauInserter: the config tags are now "FullReco,TauRec" and "FullReco,Tau1p3p".<br />
<br />
These problems are solved in the tag TopView-00-12-14-02, so I am checking it out and see if it can work with r13.<br />
<br />
I see that indeed I miss these packages:<br />
#CMT> Warning: package TopTools TopTools-* PhysicsAnalysis/TopPhys not found (requested by TopView)<br />
#CMT> Warning: package ElectronPhotonIDEvent ElectronPhotonIDEvent-* PhysicsAnalysis/ElectronPhotonID not found (requested by TopView)<br />
#CMT> Warning: package TauIDEvent TauIDEvent-* PhysicsAnalysis/TauID not found (requested by TopView)</div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=User:Barison&diff=1953User:Barison2007-11-19T10:52:37Z<p>Barison: /* 19/11/2007 */</p>
<hr />
<div>== TopView -> 13 Logbook ==<br />
<br />
<br />
== 15/11/2007 ==<br />
<br />
<br />
I copied the Analysis_topOptions.py file to the run dir and tried running it. <br />
<br />
Uncommenting "from TopView import *" produces:<br />
<br />
File "/afs/cern.ch/atlas/software/builds/AtlasCore/13.0.30/InstallArea/share/bin/athena.py", line 352, in ?<br />
include( script )<br />
File "./mytry.py", line 13, in ?<br />
from TopView import *<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 39, in ?<br />
init()<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 26, in init<br />
c = __import__( mod )<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/MergeMuonAndJetTag_module.py", line 3, in ?<br />
class MergeMuonAndJetTag(EVModule):<br />
TypeError: Error when calling the metaclass bases<br />
module.__init__() takes at most 2 arguments (3 given)</nowiki><br />
<br />
and:<br />
<br />
File "/afs/cern.ch/atlas/software/builds/AtlasCore/13.0.30/InstallArea/share/bin/athena.py", line 352, in ?<br />
include( script )<br />
File "./LocalOverride.py", line 23, in ?<br />
include("Analysis_topOptions.py")<br />
File "./Analysis_topOptions.py", line 17, in ?<br />
from TopView import *<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 39, in ?<br />
init()<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 26, in init<br />
c = __import__( mod )<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/SubtractElecFromJet_module.py", line 3, in ?<br />
class SubtractElecFromJet(EVModule):<br />
TypeError: Error when calling the metaclass bases<br />
module.__init__() takes at most 2 arguments (3 given)<br />
<br />
This is quite easy to solve: open MergeMuonAndJetTag_module.py and SubtractElecFromJet_module.py and replace <br />
<br />
from EventViewConfiguration import * <br />
<br />
with:<br />
<br />
from EventViewConfiguration.EVModule import *<br />
<br />
But then I get:<br />
<br />
File "/afs/cern.ch/atlas/software/builds/AtlasCore/13.0.30/InstallArea/share/bin/athena.py", line 352, in ?<br />
include( script )<br />
File "./LocalOverride.py", line 23, in ?<br />
include("Analysis_topOptions.py")<br />
File "./Analysis_topOptions.py", line 21, in ?<br />
theApp.Dlls += ["TopTools"]<br />
File "/afs/cern.ch/atlas/offline/external/GAUDI/v19r4p3/GaudiPython/python/gaudimodule.py", line 149, in __setattr__<br />
prop.fromString( value )<br />
RuntimeError: (file "", line 0) Failed to load DLLs. (C++ exception)<br />
<br />
<br />
This is caused because TopTools cannot be found: cmt show packages | grep TopTools returns no results<br />
<br />
== 19/11/2007 ==<br />
<br />
I removed the loading of TopTools and SUSYView from the jobOptions file, and went on debugging...<br />
<br />
Now I have a problem with the MuonInserter, as it doesn't recognize the "FullReco" configuration label. In HighPtMuonInserter you have now two labels:<br />
"FullReco,Muid" and "FullReco,Staco"<br />
<br />
There are two possible solutions to fix this: change HighPtView to use "FullReco" as an alias for "FullReco,Staco" or do it in TopView. I think I'll do it in TopView for the time being.<br />
<br />
The same goes for TauInserter: the config tags are now "FullReco,TauRec" and "FullReco,Tau1p3p".</div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=User:Barison&diff=1952User:Barison2007-11-19T10:46:54Z<p>Barison: </p>
<hr />
<div>== TopView -> 13 Logbook ==<br />
<br />
<br />
== 15/11/2007 ==<br />
<br />
<br />
I copied the Analysis_topOptions.py file to the run dir and tried running it. <br />
<br />
Uncommenting "from TopView import *" produces:<br />
<br />
File "/afs/cern.ch/atlas/software/builds/AtlasCore/13.0.30/InstallArea/share/bin/athena.py", line 352, in ?<br />
include( script )<br />
File "./mytry.py", line 13, in ?<br />
from TopView import *<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 39, in ?<br />
init()<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 26, in init<br />
c = __import__( mod )<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/MergeMuonAndJetTag_module.py", line 3, in ?<br />
class MergeMuonAndJetTag(EVModule):<br />
TypeError: Error when calling the metaclass bases<br />
module.__init__() takes at most 2 arguments (3 given)</nowiki><br />
<br />
and:<br />
<br />
File "/afs/cern.ch/atlas/software/builds/AtlasCore/13.0.30/InstallArea/share/bin/athena.py", line 352, in ?<br />
include( script )<br />
File "./LocalOverride.py", line 23, in ?<br />
include("Analysis_topOptions.py")<br />
File "./Analysis_topOptions.py", line 17, in ?<br />
from TopView import *<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 39, in ?<br />
init()<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 26, in init<br />
c = __import__( mod )<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/SubtractElecFromJet_module.py", line 3, in ?<br />
class SubtractElecFromJet(EVModule):<br />
TypeError: Error when calling the metaclass bases<br />
module.__init__() takes at most 2 arguments (3 given)<br />
<br />
This is quite easy to solve: open MergeMuonAndJetTag_module.py and SubtractElecFromJet_module.py and replace <br />
<br />
from EventViewConfiguration import * <br />
<br />
with:<br />
<br />
from EventViewConfiguration.EVModule import *<br />
<br />
But then I get:<br />
<br />
File "/afs/cern.ch/atlas/software/builds/AtlasCore/13.0.30/InstallArea/share/bin/athena.py", line 352, in ?<br />
include( script )<br />
File "./LocalOverride.py", line 23, in ?<br />
include("Analysis_topOptions.py")<br />
File "./Analysis_topOptions.py", line 21, in ?<br />
theApp.Dlls += ["TopTools"]<br />
File "/afs/cern.ch/atlas/offline/external/GAUDI/v19r4p3/GaudiPython/python/gaudimodule.py", line 149, in __setattr__<br />
prop.fromString( value )<br />
RuntimeError: (file "", line 0) Failed to load DLLs. (C++ exception)<br />
<br />
<br />
This is caused because TopTools cannot be found: cmt show packages | grep TopTools returns no results<br />
<br />
== 19/11/2007 ==<br />
<br />
I removed the loading of TopTools and SUSYView from the jobOptions file, and went on debugging...<br />
<br />
Now I have a problem with the MuonInserter, as it doesn't recognize the "FullReco" configuration label. In HighPtMuonInserter you have now two labels:<br />
"FullReco,Muid" and "FullReco,Staco"<br />
<br />
There are two possible solutions to fix this: change HighPtView to use "FullReco" as an alias for "FullReco,Staco" or do it in TopView. I think I'll do it in TopView for the time being.</div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=User:Barison&diff=1951User:Barison2007-11-15T15:34:25Z<p>Barison: /* 15/11/2007 */</p>
<hr />
<div><br />
== TopView -> 13 Logbook ==<br />
<br />
<br />
== 15/11/2007 ==<br />
<br />
<br />
I copied the Analysis_topOptions.py file to the run dir and tried running it. <br />
<br />
Uncommenting "from TopView import *" produces:<br />
<br />
File "/afs/cern.ch/atlas/software/builds/AtlasCore/13.0.30/InstallArea/share/bin/athena.py", line 352, in ?<br />
include( script )<br />
File "./mytry.py", line 13, in ?<br />
from TopView import *<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 39, in ?<br />
init()<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 26, in init<br />
c = __import__( mod )<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/MergeMuonAndJetTag_module.py", line 3, in ?<br />
class MergeMuonAndJetTag(EVModule):<br />
TypeError: Error when calling the metaclass bases<br />
module.__init__() takes at most 2 arguments (3 given)</nowiki><br />
<br />
and:<br />
<br />
File "/afs/cern.ch/atlas/software/builds/AtlasCore/13.0.30/InstallArea/share/bin/athena.py", line 352, in ?<br />
include( script )<br />
File "./LocalOverride.py", line 23, in ?<br />
include("Analysis_topOptions.py")<br />
File "./Analysis_topOptions.py", line 17, in ?<br />
from TopView import *<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 39, in ?<br />
init()<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 26, in init<br />
c = __import__( mod )<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/SubtractElecFromJet_module.py", line 3, in ?<br />
class SubtractElecFromJet(EVModule):<br />
TypeError: Error when calling the metaclass bases<br />
module.__init__() takes at most 2 arguments (3 given)<br />
<br />
This is quite easy to solve: open MergeMuonAndJetTag_module.py and SubtractElecFromJet_module.py and replace <br />
<br />
from EventViewConfiguration import * <br />
<br />
with:<br />
<br />
from EventViewConfiguration.EVModule import *<br />
<br />
But then I get:<br />
<br />
File "/afs/cern.ch/atlas/software/builds/AtlasCore/13.0.30/InstallArea/share/bin/athena.py", line 352, in ?<br />
include( script )<br />
File "./LocalOverride.py", line 23, in ?<br />
include("Analysis_topOptions.py")<br />
File "./Analysis_topOptions.py", line 21, in ?<br />
theApp.Dlls += ["TopTools"]<br />
File "/afs/cern.ch/atlas/offline/external/GAUDI/v19r4p3/GaudiPython/python/gaudimodule.py", line 149, in __setattr__<br />
prop.fromString( value )<br />
RuntimeError: (file "", line 0) Failed to load DLLs. (C++ exception)<br />
<br />
<br />
This is caused because TopTools cannot be found: cmt show packages | grep TopTools returns no results</div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=User:Barison&diff=1950User:Barison2007-11-15T15:33:30Z<p>Barison: /* 15/11/2007 */</p>
<hr />
<div><br />
== TopView -> 13 Logbook ==<br />
<br />
<br />
== 15/11/2007 ==<br />
<br />
<br />
I copied the HighPtViewNtuple_jobOption.py file to the TopView dir and tried running it. <br />
<br />
Uncommenting "from TopView import *" produces:<br />
<br />
File "/afs/cern.ch/atlas/software/builds/AtlasCore/13.0.30/InstallArea/share/bin/athena.py", line 352, in ?<br />
include( script )<br />
File "./mytry.py", line 13, in ?<br />
from TopView import *<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 39, in ?<br />
init()<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 26, in init<br />
c = __import__( mod )<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/MergeMuonAndJetTag_module.py", line 3, in ?<br />
class MergeMuonAndJetTag(EVModule):<br />
TypeError: Error when calling the metaclass bases<br />
module.__init__() takes at most 2 arguments (3 given)</nowiki><br />
<br />
and:<br />
<br />
File "/afs/cern.ch/atlas/software/builds/AtlasCore/13.0.30/InstallArea/share/bin/athena.py", line 352, in ?<br />
include( script )<br />
File "./LocalOverride.py", line 23, in ?<br />
include("Analysis_topOptions.py")<br />
File "./Analysis_topOptions.py", line 17, in ?<br />
from TopView import *<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 39, in ?<br />
init()<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 26, in init<br />
c = __import__( mod )<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/SubtractElecFromJet_module.py", line 3, in ?<br />
class SubtractElecFromJet(EVModule):<br />
TypeError: Error when calling the metaclass bases<br />
module.__init__() takes at most 2 arguments (3 given)<br />
<br />
This is quite easy to solve: open MergeMuonAndJetTag_module.py and SubtractElecFromJet_module.py and replace <br />
<br />
from EventViewConfiguration import * <br />
<br />
with:<br />
<br />
from EventViewConfiguration.EVModule import *<br />
<br />
But then I get:<br />
<br />
File "/afs/cern.ch/atlas/software/builds/AtlasCore/13.0.30/InstallArea/share/bin/athena.py", line 352, in ?<br />
include( script )<br />
File "./LocalOverride.py", line 23, in ?<br />
include("Analysis_topOptions.py")<br />
File "./Analysis_topOptions.py", line 21, in ?<br />
theApp.Dlls += ["TopTools"]<br />
File "/afs/cern.ch/atlas/offline/external/GAUDI/v19r4p3/GaudiPython/python/gaudimodule.py", line 149, in __setattr__<br />
prop.fromString( value )<br />
RuntimeError: (file "", line 0) Failed to load DLLs. (C++ exception)<br />
<br />
<br />
This is caused because TopTools cannot be found: cmt show packages | grep TopTools returns no results</div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=User:Barison&diff=1949User:Barison2007-11-15T15:13:01Z<p>Barison: /* 15/11/2007 */</p>
<hr />
<div><br />
== TopView -> 13 Logbook ==<br />
<br />
<br />
== 15/11/2007 ==<br />
<br />
<br />
I copied the HighPtViewNtuple_jobOption.py file to the TopView dir and tried running it. <br />
<br />
Uncommenting "from TopView import *" produces:<br />
<br />
File "/afs/cern.ch/atlas/software/builds/AtlasCore/13.0.30/InstallArea/share/bin/athena.py", line 352, in ?<br />
include( script )<br />
File "./mytry.py", line 13, in ?<br />
from TopView import *<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 39, in ?<br />
init()<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 26, in init<br />
c = __import__( mod )<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/MergeMuonAndJetTag_module.py", line 3, in ?<br />
class MergeMuonAndJetTag(EVModule):<br />
TypeError: Error when calling the metaclass bases<br />
module.__init__() takes at most 2 arguments (3 given)</nowiki><br />
<br />
and:<br />
<br />
File "/afs/cern.ch/atlas/software/builds/AtlasCore/13.0.30/InstallArea/share/bin/athena.py", line 352, in ?<br />
include( script )<br />
File "./LocalOverride.py", line 23, in ?<br />
include("Analysis_topOptions.py")<br />
File "./Analysis_topOptions.py", line 17, in ?<br />
from TopView import *<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 39, in ?<br />
init()<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 26, in init<br />
c = __import__( mod )<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/SubtractElecFromJet_module.py", line 3, in ?<br />
class SubtractElecFromJet(EVModule):<br />
TypeError: Error when calling the metaclass bases<br />
module.__init__() takes at most 2 arguments (3 given)<br />
<br />
This is quite easy to solve: open MergeMuonAndJetTag_module.py and SubtractElecFromJet_module.py and replace <br />
<br />
from EventViewConfiguration import * <br />
<br />
with:<br />
<br />
from EventViewConfiguration.EVModule import *<br />
<br />
But then I get:<br />
<br />
File "/afs/cern.ch/atlas/software/builds/AtlasCore/13.0.30/InstallArea/share/bin/athena.py", line 352, in ?<br />
include( script )<br />
File "./LocalOverride.py", line 23, in ?<br />
include("Analysis_topOptions.py")<br />
File "./Analysis_topOptions.py", line 21, in ?<br />
theApp.Dlls += ["TopTools"]<br />
File "/afs/cern.ch/atlas/offline/external/GAUDI/v19r4p3/GaudiPython/python/gaudimodule.py", line 149, in __setattr__<br />
prop.fromString( value )<br />
RuntimeError: (file "", line 0) Failed to load DLLs. (C++ exception)</div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=User:Barison&diff=1948User:Barison2007-11-15T15:10:46Z<p>Barison: /* 15/11/2007 */</p>
<hr />
<div><br />
== TopView -> 13 Logbook ==<br />
<br />
<br />
== 15/11/2007 ==<br />
<br />
<br />
I copied the HighPtViewNtuple_jobOption.py file to the TopView dir and tried running it. <br />
<br />
Uncommenting "from TopView import *" produces:<br />
<br />
File "/afs/cern.ch/atlas/software/builds/AtlasCore/13.0.30/InstallArea/share/bin/athena.py", line 352, in ?<br />
include( script )<br />
File "./mytry.py", line 13, in ?<br />
from TopView import *<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 39, in ?<br />
init()<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 26, in init<br />
c = __import__( mod )<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/MergeMuonAndJetTag_module.py", line 3, in ?<br />
class MergeMuonAndJetTag(EVModule):<br />
TypeError: Error when calling the metaclass bases<br />
module.__init__() takes at most 2 arguments (3 given)</nowiki><br />
<br />
and:<br />
<br />
File "/afs/cern.ch/atlas/software/builds/AtlasCore/13.0.30/InstallArea/share/bin/athena.py", line 352, in ?<br />
include( script )<br />
File "./LocalOverride.py", line 23, in ?<br />
include("Analysis_topOptions.py")<br />
File "./Analysis_topOptions.py", line 17, in ?<br />
from TopView import *<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 39, in ?<br />
init()<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 26, in init<br />
c = __import__( mod )<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/SubtractElecFromJet_module.py", line 3, in ?<br />
class SubtractElecFromJet(EVModule):<br />
TypeError: Error when calling the metaclass bases<br />
module.__init__() takes at most 2 arguments (3 given)<br />
<br />
This is quite easy to solve: open MergeMuonAndJetTag_module.py and SubtractElecFromJet_module.py and replace <br />
<br />
from EventViewConfiguration import * <br />
<br />
with:<br />
<br />
from EventViewConfiguration.EVModule import *</div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=User:Barison&diff=1947User:Barison2007-11-15T15:09:34Z<p>Barison: </p>
<hr />
<div><br />
== TopView -> 13 Logbook ==<br />
<br />
<br />
== 15/11/2007 ==<br />
<br />
<br />
I copied the HighPtViewNtuple_jobOption.py file to the TopView dir and tried running it. <br />
<br />
Uncommenting "from TopView import *" produces:<br />
<br />
<nowiki> File "/afs/cern.ch/atlas/software/builds/AtlasCore/13.0.30/InstallArea/share/bin/athena.py", line 352, in ?<br />
include( script )<br />
File "./mytry.py", line 13, in ?<br />
from TopView import *<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 39, in ?<br />
init()<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 26, in init<br />
c = __import__( mod )<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/MergeMuonAndJetTag_module.py", line 3, in ?<br />
class MergeMuonAndJetTag(EVModule):<br />
TypeError: Error when calling the metaclass bases<br />
module.__init__() takes at most 2 arguments (3 given)</nowiki><br />
<br />
<br />
File "/afs/cern.ch/atlas/software/builds/AtlasCore/13.0.30/InstallArea/share/bin/athena.py", line 352, in ?<br />
include( script )<br />
File "./LocalOverride.py", line 23, in ?<br />
include("Analysis_topOptions.py")<br />
File "./Analysis_topOptions.py", line 17, in ?<br />
from TopView import *<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 39, in ?<br />
init()<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 26, in init<br />
c = __import__( mod )<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/SubtractElecFromJet_module.py", line 3, in ?<br />
class SubtractElecFromJet(EVModule):<br />
TypeError: Error when calling the metaclass bases<br />
module.__init__() takes at most 2 arguments (3 given)<br />
<br />
This is quite easy to solve: open MergeMuonAndJetTag_module.py and SubtractElecFromJet_module.py and replace <br />
<br />
from EventViewConfiguration import * <br />
<br />
with:<br />
<br />
from EventViewConfiguration.EVModule import *</div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=User:Barison&diff=1946User:Barison2007-11-15T13:10:38Z<p>Barison: </p>
<hr />
<div>TopView -> 13 Logbook<br />
<br />
I copied the HighPtViewNtuple_jobOption.py file to the TopView dir and tried running it. <br />
<br />
Uncommenting "from TopView import *" produces:<br />
<br />
<nowiki> File "/afs/cern.ch/atlas/software/builds/AtlasCore/13.0.30/InstallArea/share/bin/athena.py", line 352, in ?<br />
include( script )<br />
File "./mytry.py", line 13, in ?<br />
from TopView import *<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 39, in ?<br />
init()<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/__init__.py", line 26, in init<br />
c = __import__( mod )<br />
File "/afs/cern.ch/user/m/mbarison/s0/13.0.30-test/AtlasOffline-13.0.30/InstallArea/python/TopView/MergeMuonAndJetTag_module.py", line 3, in ?<br />
class MergeMuonAndJetTag(EVModule):<br />
TypeError: Error when calling the metaclass bases<br />
module.__init__() takes at most 2 arguments (3 given)</nowiki></div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=User:Barison&diff=1945User:Barison2006-03-02T22:40:56Z<p>Barison: </p>
<hr />
<div>The Module 0 &mdash; Very experimental prototype of my thesis &mdash; [[http://www.nikhef.nl/~barison/proefschrift.pdf can be found clicking here]]<br />
<br />
--[[User:Barison|Barison]] 23:40, 2 Mar 2006 (CET)</div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=User:Barison&diff=917User:Barison2005-12-08T09:39:52Z<p>Barison: </p>
<hr />
<div>The chapters of my doctoral thesis Mass measurements of the top quark in electroweak production channels at ATLAS<br />
<br />
[[Introduction]] &mdash; [[http://www.nikhef.nl/~barison/intro.pdf PDF]]<br />
<br />
[[Chapter I]] &mdash; [[http://www.nikhef.nl/~barison/cp1-proefschrift.pdf PDF]]<br />
<br />
[[Chapter II]] &mdash; [[http://www.nikhef.nl/~barison/cp2-proefschrift.pdf PDF]]<br />
<br />
[[Chapter III]] &mdash; [[http://www.nikhef.nl/~barison/cp3-proefschrift.pdf PDF]]<br />
<br />
[[Chapter IV]] &mdash; [[http://www.nikhef.nl/~barison/cp4-proefschrift.pdf PDF]]<br />
<br />
[[Chapter V]] &mdash; [[http://www.nikhef.nl/~barison/cp5-proefschrift.pdf PDF]]<br />
<br />
[[Chapter VI]] &mdash; [[http://www.nikhef.nl/~barison/cp6-proefschrift.pdf PDF]]<br />
<br />
[[Bibliography]] &mdash; [[http://www.nikhef.nl/~barison/biblio.pdf PDF]]<br />
<br />
--[[User:Barison|Barison]] 14:18, 12 Oct 2005 (MET DST)</div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=User:Barison&diff=872User:Barison2005-12-06T10:46:18Z<p>Barison: </p>
<hr />
<div>The chapters of my doctoral thesis Mass measurements of the top quark in electroweak production channels at ATLAS<br />
<br />
[[Introduction]]<br />
<br />
[[Chapter I]]<br />
<br />
[[Chapter II]]<br />
<br />
[[Chapter III]] &mdash; [[http://www.nikhef.nl/~barison/cp3-proefschrift.pdf PDF]]<br />
<br />
[[Chapter IV]]<br />
<br />
[[Chapter V]] &mdash; [[http://www.nikhef.nl/~barison/cp5-proefschrift.pdf PDF]]<br />
<br />
[[Chapter VI]] &mdash; [[http://www.nikhef.nl/~barison/cp6-proefschrift.pdf PDF]]<br />
<br />
[[Bibliography]] &mdash; [[http://www.nikhef.nl/~barison/biblio.pdf PDF]]<br />
<br />
--[[User:Barison|Barison]] 14:18, 12 Oct 2005 (MET DST)</div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=User:Barison&diff=865User:Barison2005-11-21T15:04:03Z<p>Barison: </p>
<hr />
<div>The chapters of my doctoral thesis Mass measurements of the top quark in electroweak production channels at ATLAS<br />
<br />
[[Introduction]]<br />
<br />
[[Chapter I]]<br />
<br />
[[Chapter II]]<br />
<br />
[[Chapter III]] &mdash; [[http://www.nikhef.nl/~barison/cp3-proefschrift.pdf Available also in PDF format.]]<br />
<br />
[[Chapter IV]]<br />
<br />
[[Chapter V]] &mdash; [[http://www.nikhef.nl/~barison/cp5-proefschrift.pdf Available also in PDF format.]]<br />
<br />
[[Chapter VI]] &mdash; [[http://www.nikhef.nl/~barison/cp6-proefschrift.pdf Available also in PDF format.]]<br />
<br />
[[Bibliography]]<br />
<br />
--[[User:Barison|Barison]] 14:18, 12 Oct 2005 (MET DST)</div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=Aod_ntuple&diff=4682Aod ntuple2005-11-18T15:07:01Z<p>Barison: /* Muon */</p>
<hr />
<div>This page contains basic prescriptions to get physics objects from the AOD and the AOD-based Root ntuple (from now on defined as ''Woutuple'').<br />
<br />
Some comments on quality selection cuts will be added as work progresses.<br />
<br />
--[[User:Barison|Barison]] 18:12, 19 May 2005 (MET DST)<br />
<br />
== Monte Carlo Truth Particles ==<br />
<br />
The ntuples contain the full MC truth information ("truth") that is contained in the AOD. For the T1 (ttbar) sample there is an additional block ("hardtruth") with the hard scatter information remade from the ESD by Eric Cogneras. In the Analysis Skeleton there is an example where some of the information is printed to the screen.<br />
<br />
For each truth_particle the 4-vector, PDG code, status code and decay tree navigation information: references to decay products of any given truth particle are stored in <tt>tidx_dg0_truth</tt> through <tt>tidx_dg9_truth</tt>, which contain the indices of the decay products in the truth ntuple block. The actual number of daughters for a given decay is specified by <tt>numdg_truth</tt>. <tt>tidx_moth_truth</tt> contains the index of the mother particle in the truth ntuple block. If a given link does not exists (e.g. a particle has no mother), then the link index value is set to -1. For convenience, direct 'jump links' exist to the top quark and anti-top quark in the event (if present) in <tt>tidx_top_truth</tt> and <tt>tidx_antitop_truth</tt>. Direct jump links to the decay producs of the top (a W and a b quark) are also stored in <tt>tidx_Wplus_truth, tidx_Wminus_truth, tidx_b_truth</tt> and <tt>tidx_antib_truth</tt><br />
<br />
<b><font color="red">Note:</font></b> Due to some problems with the decoding of the HERWIG truth block it is not always very clear how to extract the kinematics from the top, the W and the b correctly. Please check this information before you use it and, if necessary, get the truth from these particles yourself from the full block.<br />
<br />
== Electron ==<br />
<br />
{| border="1" cellpadding="10" cellspacing="10" style="border-collapse: collapse; border: 3px solid orange"<br />
|+ ''' Electron in AOD/Woutuple '''<br />
| AOD Container Name <br />
| AOD Variable <br />
| Woutuple Variable<br />
| Variable Type<br />
| Comment<br />
|-<br />
|rowspan="24" valign="top"| ElectronCollection <br />
| <code>(*elecTES)->size()</code><br />
| n_elec<br />
| Int<br />
| Number of electrons in the Woutuple<br />
|-<br />
| <code>(*elecItr)->hlv().x()</code><br />
| px_elec<br />
| Double<br />
| Px<br />
|-<br />
| <code>(*elecItr)->hlv().y()</code><br />
| py_elec<br />
| Double<br />
| Py<br />
|-<br />
| <code>(*elecItr)->hlv().z()</code><br />
| pz_elec<br />
| Double<br />
| Pz<br />
|-<br />
| <code>(*elecItr)->hlv().perp()</code><br />
| pt_elec<br />
| Double<br />
| Pt<br />
|-<br />
| <code>(*elecItr)->hlv().eta()</code><br />
| eta_elec<br />
| Double<br />
| Eta<br />
|-<br />
| <code>(*elecItr)->hlv().phi()</code><br />
| phi_elec<br />
| Double<br />
| Phi<br />
|-<br />
| <code>(*elecItr)->isEM()</code><br />
| isem_elec<br />
| Int<br />
| <code>isEM</code> flag (see below)<br />
|-<br />
| <code>(*elecItr)->hasTrack()</code><br />
| hastrk_elec<br />
| Int (bool)<br />
| <code>HasTrack</code> flag: presence of charged track in the Inner Detector<br />
|-<br />
| <code>(*elecItr)->z0wrtPrimVtx()</code><br />
| z0vtx_elec<br />
| Double<br />
| Intersection (z) of track with the beam axis<br />
|-<br />
| <code>(*elecItr)->d0wrtPrimVtx()</code><br />
| d0vtx_elec<br />
| Double<br />
| Transverse impact parameter d0<br />
|-<br />
| <code>(*elecItr)->numberOfBLayerHits()</code><br />
| nblayerhits_elec<br />
| Int<br />
| Number of hits in the Pixel B-layer<br />
|-<br />
| <code>(*elecItr)->numberOfPixelHits()</code><br />
| npixelhits_elec<br />
| Int<br />
| Number of hits in the Pixel detector<br />
|-<br />
| <code>(*elecItr)->numberOfSCTHits()</code><br />
|nscthits_elec<br />
| Int<br />
| Number of hits in the SCT<br />
|-<br />
| <code>(*elecItr)->numberOfTRTHits()</code><br />
| ntrthits_elec<br />
| Int<br />
| Number of hits in the TRT<br />
|-<br />
| <code>(*elecItr)->numberOfTRTHighThresholdHits()</code><br />
| ntrththits_elec<br />
| Int<br />
| Number of high threshold hits in the TRT<br />
|-<br />
| <code>(*elecItr)->author()</code><br />
| auth_elec<br />
| Int (enum)<br />
| Algorithm used to create the electron: <code>unknown=0</code>, <code>egamma=1</code>, <code>softe=2</code> <br />
|-<br />
| <code>(*elecItr)->parameter(ElectronParameters::EoverP)</code><br />
| eoverp_elec<br />
| Double<br />
| E/P ratio<br />
|-<br />
| <code>(*elecItr)->parameter(ElectronParameters::etcone)</code><br />
| etcone_elec<br />
| Double<br />
| Energy deposition in a cone dR=0.45 around the electron cluster<br />
|-<br />
| <code>(*elecItr)->parameter(ElectronParameters::etcone20)</code><br />
| etcone20_elec<br />
| Double<br />
| Energy deposition in a cone dR=0.20 around the electron cluster. Standard cone size for ATLFAST<br />
|-<br />
| <code>(*elecItr)->parameter(ElectronParameters::etcone30)</code><br />
| etcone30_elec<br />
| Double<br />
| Energy deposition in a cone dR=0.30 around the electron cluster. Currently empty<br />
|-<br />
| <code>(*elecItr)->parameter(ElectronParameters::etcone40)</code><br />
| etcone40_elec<br />
| Double<br />
| Energy deposition in a cone dR=0.40 around the electron cluster<br />
|-<br />
| <code>(*elecItr)->parameter(ElectronParameters::emWeight)</code><br />
| emwgt_elec<br />
| Double<br />
| Weight for electrons (see below)<br />
|-<br />
| <code> (*elecItr)->parameter(ElectronParameters::pionWeight)</code><br />
| piwgt_elec<br />
| Double<br />
| Weight for pions (see below)<br />
|}<br />
<br />
There are 3 types of quality cuts you can perform on the electron candidates:<br />
<br />
<ol><br />
<li>Cuts based on the <code>isEM</code> flag</li><br />
<li>Cuts based on likelihood</li><br />
<li>Cuts based on NeuralNet output</li><br />
</ol><br />
<br />
'''1.'''<br />
The <code>isEM</code> flag uses both calorimeter and tracking information in addition to TRT<br />
information. The flag is a bit field which marks whether the candidate passed or not some safety checks.<br />
<br />
The bit field marks the following checks:<br />
<code><br />
Cluster based egamma<br />
ClusterEtaRange = 0,<br />
ClusterHadronicLeakage = 1,<br />
ClusterMiddleSampling = 2,<br />
ClusterFirstSampling = 3,<br />
Track based egamma<br />
TrackEtaRange = 8,<br />
TrackHitsA0 = 9,<br />
TrackMatchAndEoP = 10,<br />
TrackTRT = 11<br />
</code><br />
<br />
In 9.0.4 there is a problem with TRT simulation so one has to mask TRT bit to recover the lost efficiency. <br />
<br />
To get the flag in your AOD analysis you should use:<br />
<br />
<code><br />
(*elec)->isEM()<br />
</code><br />
<br />
To mask the TRT bits you should use: <code>(*elec)->isEM()&0x7FF==0</code><br />
<br />
If you use <code>isEM</code> then you will select electrons with an overall efficiency of about<br />
80% in the barrel but much lower in the crack and endcap.<br />
<br />
'''2.'''<br />
The likelihood ratio is constructed using the following variables: energy in different calorimeter samplings, shower shapes in both eta and phi and E/P ration. No TRT information is used here.<br />
You need to access two variables called <code>emweight</code> and <code>pionweight</code> then you can construct the likelihood ratio, defined by: <code>emweight/(emweight+pionweight)</code>. <br />
<br />
In AOD, you use the following code:<br />
<br />
<code><br />
ElecEMWeight = elec*->parameter(ElectronParameters::emWeight);<br />
ElecPiWeight = elec*->parameter(ElectronParameters::pionWeight);<br />
</code><br />
<br />
Then form the variable:<br />
<code><br />
X = ElecEMWeight/(ElecEMWeight+ElecPiWeight);<br />
</code><br />
<br />
Requiring X > 0.6 will give you more than 90% efficiency for electrons.<br />
<br />
<br />
'''3.'''<br />
The NeuralNet variable uses as inputs the same variables used for likelihood. To use it in AOD you should proceed as follow:<br />
<br />
<code><br />
ElecepiNN = elec*->parameter(ElectronParameters::epiNN);<br />
</code><br />
<br />
Requiring ElecepiNN > 0.6 will give you about 90% eff for electrons. <br />
<br />
However, you should be aware that the NN was trained in full eta range while the likelihood was computed in 3 bins in eta: barrel, crack and endcap. So I would suggest to use likelihood for now.<br />
<br />
To require an isolated electron, you have to cut on the energy deposited in the cone around the electron cluster. ATLFAST for example requires Et<10 GeV in a cone of dR=0.2. You can simulate the ATLFAST cut by requiring <code>etcone20<10.*GeV</code><br />
<br />
== Photon ==<br />
<br />
We did not investigate this.<br />
<br />
== Muon ==<br />
<br />
{| border="1" cellpadding="10" cellspacing="10" style="border-collapse: collapse; border: 3px solid orange"<br />
|+ ''' Muon in AOD/Woutuple '''<br />
| AOD Container Name <br />
| AOD Variable <br />
| Woutuple Variable<br />
| Variable Type<br />
| Comment<br />
|-<br />
|rowspan="32" valign="top"| MuonCollection <br />
| <code>(*muonTES)->size()</code><br />
| n_muon<br />
| Int<br />
| Number of muons in the Woutuple<br />
|-<br />
| <code>(*muonItr)->hlv().x()</code><br />
| px_muon<br />
| Double<br />
| Px<br />
|-<br />
| <code>(*muonItr)->hlv().y()</code><br />
| py_muon<br />
| Double<br />
| Py<br />
|-<br />
| <code>(*muonItr)->hlv().z()</code><br />
| pz_muon<br />
| Double<br />
| Pz<br />
|-<br />
| <code>(*muonItr)->hlv().perp()</code><br />
| pt_muon<br />
| Double<br />
| Pt<br />
|-<br />
| <code>(*muonItr)->hlv().eta()</code><br />
| eta_muon<br />
| Double<br />
| Eta<br />
|-<br />
| <code>(*muonItr)->hlv().phi()</code><br />
| phi_muon<br />
| Double<br />
| Phi<br />
|-<br />
| <code>(*muonItr)->author()</code><br />
| auth_muon<br />
| Int (enum)<br />
| Algorithm used to create the muon: <code>unknown=0</code>, <code>highPt=1</code>, <code>lowPt=2</code><br />
|-<br />
| <code>(*muonItr)->chi2()</code><br />
| chi2_muon<br />
| Double<br />
| Chi2 of the track fit. Empty for now (see below)<br />
|-<br />
| <code>(*muonItr)->getConeIsol()[0]</code><br />
| coneiso0_muon<br />
| Double<br />
|<br />
|-<br />
| <code>(*muonItr)->getEtIsol()[0]</code><br />
| etiso0_muon<br />
| Double<br />
|<br />
|-<br />
| <code>(*muonItr)->hasCombinedMuon()</code><br />
| hascombi_muon<br />
| Int (bool)<br />
|<br />
|-<br />
| <code>(*muonItr)->hasInDetTrackParticle()</code><br />
| hasindettp_muon<br />
| Int (bool)<br />
|<br />
|-<br />
| <code>(*muonItr)->hasMuonSpectrometerTrackParticle()</code><br />
| hasmuspectp_muon<br />
| Int (bool)<br />
|<br />
|-<br />
| <code>(*muonItr)->hasMuonExtrapolatedTrackParticle()</code><br />
| hasmmuextrtp_muon<br />
| Int (bool)<br />
|<br />
|-<br />
| <code>(*muonItr)->hasCombinedMuonTrackParticle()</code><br />
| hascombimutp_muon<br />
| Int (bool)<br />
|<br />
|-<br />
| <code>(*muonItr)->hasCluster()</code><br />
| hasclus_muon<br />
| Int (bool)<br />
|<br />
|-<br />
| <code>(*muonItr)->isHighPt()</code><br />
| ishipt_muon<br />
| Int (bool)<br />
| Is the muon produced with the <code>highPt</code> algorithm? (see also <code>author()</code>) <br />
|-<br />
| <code>(*muonItr)->isLowPt()</code><br />
| islopt_muon<br />
| Int (bool)<br />
| Is the muon produced with the <code>lowPt</code> algorithm? (see also <code>author()</code>)<br />
|-<br />
| <code>(*muonItr)->numberOfBLayerHits()</code><br />
| nblayerhits_muon<br />
| Int<br />
|<br />
|-<br />
| <code>(*muonItr)->numberOfPixelHits(</code><br />
| npixelhits_muon<br />
| Int<br />
|<br />
|-<br />
| <code>(*muonItr)->numberOfSCTHits()</code><br />
| nscthits_muon<br />
| Int<br />
|<br />
|-<br />
| <code>(*muonItr)->numberOfTRTHits()</code><br />
| ntrthits_muon<br />
| Int<br />
|<br />
|-<br />
| <code>(*muonItr)->numberOfMDTHits()</code><br />
| nmdthits_muon<br />
| Int<br />
|<br />
|-<br />
| <code>(*muonItr)->numberOfCSCEtaHits()</code><br />
| ncscetahits_muon<br />
| Int<br />
|<br />
|-<br />
| <code>(*muonItr)->numberOfCSCPhiHits()</code><br />
| ncscphihits_muon<br />
| Int<br />
|<br />
|-<br />
| <code>(*muonItr)->numberOfRPCEtaHits()</code><br />
| nrpcetahits_muon<br />
| Int<br />
|<br />
|-<br />
| <code>(*muonItr)->numberOfRPCPhiHits(</code><br />
| nrpcphihits_muon<br />
| Int<br />
|<br />
|-<br />
| <code>(*muonItr)->numberOfTGCEtaHits()</code><br />
| ntgcetahits_muon<br />
| Int<br />
|<br />
|-<br />
| <code>(*muonItr)->numberOfTGCPhiHits()</code><br />
| ntgcphihits_muon<br />
| Int<br />
|<br />
|-<br />
| <code>(*muonItr)->z0wrtPrimVtx()</code><br />
| z0vtx_muon<br />
| Double<br />
|<br />
|-<br />
| <code>(*muonItr)->d0wrtPrimVtx()</code><br />
| d0vtx_muon<br />
| Double<br />
|<br />
|}<br />
<br />
temporary: The muons have highPt and lowPt algorithms. The overlap is removed, but you may want to only use the highPt ones. The <code>chi2()</code> method is always 0 in 10.0.1, so you will have to access the CombinedMuon through something like<br />
<br />
<code><br />
const Rec::TrackParticle* cbndMuon = (*muonItr)->get_CombinedMuonTrackParticle();<br />
if( cbndMuon ) {<br />
double chi2 = cbndMuon->fitQuality()->chiSquared();<br />
int ndof = cbndMuon->fitQuality()->numberDoF();<br />
if( ndof > 0 ) chi2 = chi2/ndof;<br />
return chi2;<br />
}<br />
</code><br />
<br />
== Tau ==<br />
<br />
We did not investigate this.<br />
<br />
== Jet ==<br />
<br />
There are three collections of jets which are all stored<br />
in the ntuple. The ntuple variable <tt>algo_jet</tt> tells<br />
you which jet clustering algorithm created the jet. Be<br />
sure to cut on algo_jet when you loop over the jets, otherwise<br />
you'll see many jets 3 times.<br />
<br />
<ul><br />
<li>KtTowerParticleJets (Kt algorithm with parameter D=1, algo_jet=0)</li><br />
<li>Cone4TowerParticleJets (Cone algorithm with R=0.4, algo_jet=1)</li><br />
<li>ConeTowerParticleJets (Cone algorithm with R=0.7, algo_jet=2)</li><br />
</ul><br />
<br />
All three alogrithms have a common data structure.<br />
<br />
You can get the energy contributions to a jet from different calorimeter samplings.<br />
Each calorimeter (Barrel and Endcap) has up to 4 samplings:<br />
<code><br />
PreSamplerB, EMB1, EMB2, EMB3, // LAr barrel<br />
PreSamplerE, EME1, EME2, EME3, // LAr EM endcap <br />
HEC0, HEC1, HEC2, HEC3, // Hadronic end cap cal. <br />
TileBar0, TileBar1, TileBar2, // Tile barrel <br />
TileGap1, TileGap2, TileGap3, // Tile gap (ITC & scint) <br />
TileExt0, TileExt1, TileExt2, // Tile extended barrel <br />
FCAL0, FCAL1, FCAL2, // Forward EM endcap <br />
</code><br />
<br />
Overlapping jets and fake jets:<br />
A trick used in CDF is to neglect jets which are close to an Electron (typically dR<0.7). The same trick should be applied for Photons and Taus.<br />
<br />
{| border="1" cellpadding="10" cellspacing="10" style="border-collapse: collapse; border: 3px solid orange"<br />
|+ ''' Jet in AOD/Woutuple '''<br />
| AOD Container Name <br />
| AOD Variable <br />
| Woutuple Variable<br />
| Variable Type<br />
| Comment<br />
|-<br />
|rowspan="42" valign="top"| KtTowerParticleJets Cone4TowerParticleJets ConeTowerParticleJets<br />
| <code>(*jetTES)->size()</code><br />
| n_jet<br />
| Int<br />
| Number of jets in the Woutuple<br />
|-<br />
| <code>(*jetItr)->hlv().x()</code><br />
| px_jet<br />
| Double<br />
| Px<br />
|-<br />
| <code>(*jetItr)->hlv().y()</code><br />
| py_jet<br />
| Double<br />
| Py<br />
|-<br />
| <code>(*jetItr)->hlv().z()</code><br />
| pz_jet<br />
| Double<br />
| Pz<br />
|-<br />
| <code>(*jetItr)->hlv().perp()</code><br />
| pt_jet<br />
| Double<br />
| Pt<br />
|-<br />
| <code>(*jetItr)->hlv().eta()</code><br />
| eta_jet<br />
| Double<br />
| Eta<br />
|-<br />
| <code>(*jetItr)->hlv().phi()</code><br />
| phi_jet<br />
| Double<br />
| Phi<br />
|-<br />
| <code>(*jetItr)->pCalo().x()</code><br />
| px_calo_jet<br />
| Double<br />
|<br />
|-<br />
| <code>(*jetItr)->pCalo().y()</code><br />
| py_calo_jet<br />
| Double<br />
|<br />
|-<br />
| <code>(*jetItr)->pCalo().z()</code><br />
| pz_calo_jet<br />
| Double<br />
|<br />
|-<br />
| <code>(*jetItr)->etEM(0)</code><br />
| etem0_jet<br />
| Double<br />
| Et from EM_Calo Sample_1(B+E) and Presampler (B+E)<br />
|-<br />
| <code>(*jetItr)->etEM(1)</code><br />
| etem1_jet<br />
| Double<br />
| Et from EM_Calo Sample_2(B+E)<br />
|-<br />
| <code>(*jetItr)->etEM(2)</code><br />
| etem2_jet<br />
| Double<br />
| Et from EM_Calo Sample_3(B+E)<br />
|-<br />
| <code>(*jetItr)->etHad(0)</code><br />
| ethad0_jet<br />
| Double<br />
| Et from HAD_Calo Sample_0(B+E)<br />
|-<br />
| <code>(*jetItr)->etHad(1)</code><br />
| ethad1_jet<br />
| Double<br />
| Et from HAD_Calo Sample_1(B+E)<br />
|-<br />
| <code>(*jetItr)->etHad(2)</code><br />
| ethad2_jet<br />
| Double<br />
| Et from HAD_Calo Sample_2(B+E)<br />
|-<br />
| <code>(*jetItr)->energyInSample(CaloSampling::PreSamplerB)</code><br />
| epresb_jet<br />
| Double<br />
| Energy in PreSampler (Barrel)<br />
|-<br />
| <code>(*jetItr)->energyInSample(CaloSampling::EMB1)</code><br />
| eemb1_jet<br />
| Double<br />
| Energy in EM_Calo Sample_1 (Barrel)<br />
|-<br />
| <code>(*jetItr)->energyInSample(CaloSampling::EMB2)</code><br />
| eemb2_jet<br />
| Double<br />
| Energy in EM_Calo Sample_2 (Barrel)<br />
|-<br />
| <code>(*jetItr)->energyInSample(CaloSampling::EMB3)</code><br />
| eemb3_jet<br />
| Double<br />
| Energy in EM_Calo Sample_3 (Barrel)<br />
|-<br />
| <code>(*jetItr)->energyInSample(CaloSampling::PreSamplerE)</code><br />
| eprese_jet<br />
| Double<br />
| Energy in PreSampler (Endcap)<br />
|-<br />
| <code>(*jetItr)->energyInSample(CaloSampling::EME1)</code><br />
| eeme1_jet<br />
| Double<br />
| Energy in EM_Calo Sample_1 (Endcap)<br />
|-<br />
| <code>(*jetItr)->energyInSample(CaloSampling::EME2)</code><br />
| eeme2_jet<br />
| Double<br />
| Energy in EM_Calo Sample_2 (Endcap)<br />
|-<br />
| <code>(*jetItr)->energyInSample(CaloSampling::EME3)</code><br />
| eeme3_jet<br />
| Double<br />
| Energy in EM_Calo Sample_3 (Endcap)<br />
|-<br />
| <code>(*jetItr)->energyInSample(CaloSampling::HEC0)</code><br />
| ehec0_jet<br />
| Double<br />
| Energy in HAD_Calo Sample_0 (Endcap)<br />
|-<br />
| <code>(*jetItr)->energyInSample(CaloSampling::HEC1)</code><br />
| ehec1_jet<br />
| Double<br />
| Energy in HAD_Calo Sample_1 (Endcap)<br />
|-<br />
| <code>(*jetItr)->energyInSample(CaloSampling::HEC2)</code><br />
| ehec2_jet<br />
| Double<br />
| Energy in HAD_Calo Sample_2 (Endcap)<br />
|-<br />
| <code>(*jetItr)->energyInSample(CaloSampling::HEC3)</code><br />
| ehec3_jet<br />
| Double <br />
| Energy in HAD_Calo Sample_3 (Endcap) <br />
|-<br />
| <code>(*jetItr)->energyInSample(CaloSampling::TileBar0)</code><br />
| etilebar0_jet<br />
| Double <br />
| Energy in HAD_Calo Sample_0 (Barrel)<br />
|-<br />
| <code>(*jetItr)->energyInSample(CaloSampling::TileBar1)</code><br />
| etilebar1_jet <br />
| Double<br />
| Energy in HAD_Calo Sample_1 (Barrel)<br />
|-<br />
| <code>(*jetItr)->energyInSample(CaloSampling::TileBar2)</code><br />
| etilebar2_jet<br />
| Double<br />
| Energy in HAD_Calo Sample_2 (Barrel)<br />
|-<br />
| <code>(*jetItr)->energyInSample(CaloSampling::TileGap1)</code><br />
| etilegap1_jet<br />
| Double<br />
| Energy in Tile_gap Sample_1 <br />
|-<br />
| <code>(*jetItr)->energyInSample(CaloSampling::TileGap2)</code><br />
| etilegap2_jet<br />
| Double<br />
| Energy in Tile_gap Sample_2<br />
|-<br />
| <code>(*jetItr)->energyInSample(CaloSampling::TileGap3)</code><br />
| etilegap3_jet<br />
| Double<br />
| Energy in Tile_gap Sample_3<br />
|-<br />
| <code>(*jetItr)->energyInSample(CaloSampling::TileExt0)</code><br />
| etileext0_jet <br />
| Double<br />
| Energy in Tile Extended Barrel Sample_0<br />
|-<br />
| <code>(*jetItr)->energyInSample(CaloSampling::TileExt1)</code><br />
| etileext1_jet<br />
| Double<br />
| Energy in Tile Extended Barrel Sample_1<br />
|-<br />
| <code>(*jetItr)->energyInSample(CaloSampling::TileExt2)</code><br />
| etileext2_jet<br />
| Double<br />
| Energy in Tile Extended Barrel Sample_2<br />
|-<br />
| <code>(*jetItr)->energyInSample(CaloSampling::FCAL0)</code><br />
| efcal0_jet<br />
| Double<br />
| Energy in FCAL Sample_0<br />
|-<br />
| <code>(*jetItr)->energyInSample(CaloSampling::FCAL1)</code><br />
| efcal1_jet<br />
| Double<br />
| Energy in FCAL Sample_1<br />
|-<br />
| <code>(*jetItr)->energyInSample(CaloSampling::FCAL2)</code><br />
| efcal2_jet<br />
| Double<br />
| Energy in FCAL Sample_2<br />
|-<br />
| <code>(*jetItr)->energyInSample(CaloSampling::Unknown)</code><br />
| eunknown_jet<br />
| Double<br />
| WTF???<br />
|-<br />
| <code>(*jetItr)->energyInCryostat() ;<br />
| ecryo_jet<br />
| Double<br />
| Energy lost in the cryostat &mdash; empiric evaluation sqrt(EMB3 * TileBar0)<br />
|}<br />
<br />
<br />
== Truth Jets ==<br />
<br />
Truth jets are formed by running the jet reconstruction algorithm on final Truth particles from the simulation. Jets created this way do not contain the effects of detector energy resolution and other experimental issues. The Woutuple contains truth jets generated with the same three jet algorithms as for reconstruction level jets (Cone,Cone4 and Kt). The author of each jet in the <tt>trujet</tt> block can be determined from the <tt>algo_trujet</tt> integer, which has the same meaning as the <tt>algo_jet</tt> variable in the reco-level jet block<br />
<br />
== BJet ==<br />
The default b-tagging algorithm is run on cone jets with R=0.7<br />
<br />
It is possible to run a b-tagging refit completely on AOD. Andi Wildauer has done a lot of work on this and documented it on:<br />
<br />
[https://uimon.cern.ch/twiki/bin/view/Atlas/BTagging#Running_on_AOD BTagging refit on AOD]<br />
<br />
For the top group this was done by Eric (T1 sample only) which is why for the T1 sample there is also a block containing the btag information for R=0.4 jets. The user can choose this by setting the bjet_algo to 1 in the Analysis Skeleton.<br />
<br />
== Missing Et ==<br />
<br />
There are seven(!) Missing Et objects available in AOD.<br />
The Woutuple contains all of them<br />
<br />
{| border="1" cellpadding="10" cellspacing="10" style="border-collapse: collapse; border: 3px solid orange"<br />
|+ '''Missing Et objects available in AOD'''<br />
|-<br />
| Type || AOD Container Name || Include File || Comment<br />
|-<br />
|Missing Et || MET_Base<br />
|rowspan="2"|[http://reserve02.usatlas.bnl.gov/lxr/source/atlas/Reconstruction/MissingETEvent/MissingETEvent/MissingEtCalo.h MissingEtCalo.h] || uncalibrated ETMiss<br />
|-<br />
|Missing Et calibrated || MET_Calib || calibrated ETMiss<br />
|-<br />
|Missing Et Truth || MET_Truth ||[http://reserve02.usatlas.bnl.gov/lxr/source/atlas/Reconstruction/MissingETEvent/MissingETEvent/MissingEtTruth.h MissingEtTruth.h] || ETMiss from Truth<br />
|-<br />
|Missing Et Muon || MET_Muon<br />
|rowspan="4"|[http://reserve02.usatlas.bnl.gov/lxr/source/atlas/Reconstruction/MissingETEvent/MissingETEvent/MissingET.h MissingET.h] || ETMiss from Muons<br />
|-<br />
|Missing Et Final || MET_Final || ETMiss for Physics analysis : calib+muons+cryostat correction<br />
|-<br />
|Missing Et Cryostat correction || MET_Cryo || Cryostat term<br />
|-<br />
|Missing Et Topological Clusters || MET_Topo || ETMiss from Topological Jet Clusters<br />
|}<br />
<br />
The calibration of the MET is obtained by using a H1 algorithm.<br />
This algorithm corrects the cell energy as a function of the energy density in the cell:<br />
<math>weight=\frac{\ln\left(|E_{cell}/V|\right)}{\ln(2)}+26</math><br />
<br />
The weights are stored in a lookup table here:<br />
[http://atlas-sw.cern.ch/cgi-bin/viewcvs-atlas.cgi/*checkout*/offline/Reconstruction/MissingET/src/METH1WeightToolG4.cxx?rev=1.1 Code for H1 calibration]<br />
<br />
{| border="1" cellpadding="10" cellspacing="10" style="border-collapse: collapse; border: 3px solid orange"<br />
|+ '''Missing Et objects available in Woutuple'''<br />
|-<br />
| AOD Container Name || AOD Variable || Woutuple Variable || Variable Type || Comment<br />
|-<br />
|rowspan="7"| MET_Base || || et_base_etm || Double_t || Missing Et (uncalibrated)<br />
|-<br />
| || ht_base_etm || Double_t || Total Ht (uncalibrated)<br />
|-<br />
| || px_base_etm || Double_t || Missing Px (uncalibrated)<br />
|-<br />
| || py_base_etm || Double_t || Missing Py (uncalibrated)<br />
|-<br />
| || compet_base_etm[7] || Double_t* || Missing Et (uncalibrated) <br> 7 calorimeter samples <br> see [http://reserve02.usatlas.bnl.gov/lxr/source/atlas/Reconstruction/MissingETEvent/MissingETEvent/MissingEtCalo.h MissingEtCalo.h]<br />
|-<br />
| || comppx_base_etm[7] || Double_t* || Missing Px (uncalibrated) <br> 7 calorimeter samples <br> see [http://reserve02.usatlas.bnl.gov/lxr/source/atlas/Reconstruction/MissingETEvent/MissingETEvent/MissingEtCalo.h MissingEtCalo.h]<br />
|-<br />
| || comppy_base_etm[7] || Double_t* || Missing Py (uncalibrated) <br> 7 calorimeter samples <br> see [http://reserve02.usatlas.bnl.gov/lxr/source/atlas/Reconstruction/MissingETEvent/MissingETEvent/MissingEtCalo.h MissingEtCalo.h]<br />
|-<br />
|rowspan="7"| MET_Calib || || et_calib_etm || Double_t || Missing Et (calibrated)<br />
|-<br />
| || ht_calib_etm || Double_t || Total Ht (calibrated)<br />
|-<br />
| || px_calib_etm || Double_t || Missing Px (calibrated)<br />
|-<br />
| || py_calib_etm || Double_t || Missing Py (calibrated)<br />
|-<br />
| || compet_calib_etm[7] || Double_t* || Missing Et (calibrated) <br> 7 calorimeter samples <br> see [http://reserve02.usatlas.bnl.gov/lxr/source/atlas/Reconstruction/MissingETEvent/MissingETEvent/MissingEtCalo.h MissingEtCalo.h]<br />
|-<br />
| || comppx_calib_etm[7] || Double_t* || Missing Px (calibrated) <br> 7 calorimeter samples <br> see [http://reserve02.usatlas.bnl.gov/lxr/source/atlas/Reconstruction/MissingETEvent/MissingETEvent/MissingEtCalo.h MissingEtCalo.h]<br />
|-<br />
| || comppy_calib_etm[7] || Double_t* || Missing Py (calibrated) <br> 7 calorimeter samples <br> see [http://reserve02.usatlas.bnl.gov/lxr/source/atlas/Reconstruction/MissingETEvent/MissingETEvent/MissingEtCalo.h MissingEtCalo.h]<br />
|-<br />
|rowspan="7"| MET_Truth || || et_truth_etm || Double_t || Missing Et (MC Truth)<br />
|-<br />
| || ht_truth_etm || Double_t || Total Ht (MC Truth)<br />
|-<br />
| || px_truth_etm || Double_t || Missing Px (MC Truth)<br />
|-<br />
| || py_truth_etm || Double_t || Missing Py (MC Truth)<br />
|-<br />
| || truet_truth_etm[6] || Double_t* || Missing Et (MC Truth) <br> 6 components <br> see [http://reserve02.usatlas.bnl.gov/lxr/source/atlas/Reconstruction/MissingETEvent/MissingETEvent/MissingEtTruth.h MissingEtTruth.h]<br />
|-<br />
| || trupx_truth_etm[6] || Double_t* || Missing Px (MC Truth) <br> 6 components <br> see [http://reserve02.usatlas.bnl.gov/lxr/source/atlas/Reconstruction/MissingETEvent/MissingETEvent/MissingEtTruth.h MissingEtTruth.h]<br />
|-<br />
| || trupy_truth_etm[6] || Double_t* || Missing Py (MC Truth) <br> 6 components <br> see [http://reserve02.usatlas.bnl.gov/lxr/source/atlas/Reconstruction/MissingETEvent/MissingETEvent/MissingEtTruth.h MissingEtTruth.h]<br />
|-<br />
|rowspan="4"| MET_Muon || || et_muon_etm || Double_t || Missing Et (Muon Spectrometer)<br />
|-<br />
| || ht_muon_etm || Double_t || Total Ht (Muon Spectrometer)<br />
|-<br />
| || px_muon_etm || Double_t || Missing Px (Muon Spectrometer)<br />
|-<br />
| || py_muon_etm || Double_t || Missing Py (Muon Spectrometer)<br />
|-<br />
|rowspan="4"| MET_Final || || et_final_etm || Double_t || Missing Et <br> (Final &mdash; default for physical analysis)<br />
|-<br />
| || ht_final_etm || Double_t || Total Ht <br> (Final &mdash; default for physical analysis)<br />
|-<br />
| || px_final_etm || Double_t || Missing Px <br> (Final &mdash; default for physical analysis)<br />
|-<br />
| || py_final_etm || Double_t || Missing Py <br> (Final &mdash; default for physical analysis)<br />
|-<br />
|rowspan="4"| MET_Cryo || || et_cryo_etm || Double_t || Missing Et (Cryostat)<br />
|-<br />
| || ht_cryo_etm || Double_t || Total Ht (Cryostat)<br />
|-<br />
| || px_cryo_etm || Double_t || Missing Px (Cryostat)<br />
|-<br />
| || py_cryo_etm || Double_t || Missing Py (Cryostat)<br />
|-<br />
|rowspan="4"| MET_Topo || || et_topo_etm || Double_t || Missing Et (Topological clustering)<br />
|-<br />
| || ht_topo_etm || Double_t || Total Ht (Topological clustering)<br />
|-<br />
| || px_topo_etm || Double_t || Missing Px (Topological clustering)<br />
|-<br />
| || py_topo_etm || Double_t || Missing Py (Topological clustering)<br />
|}<br />
<br />
The best variables for evaluating missing Et are MET_Final or a vector sum of (MET_Topo+MET_Cryo+MET_Muon)<br />
<br />
== External References ==<br />
[http://www.usatlas.bnl.gov/PAT/analysis_on_aod.html#Content_AOD Container/Object Names for AOD]<br />
<br />
[https://uimon.cern.ch/twiki/bin/view/Atlas/StoregateKeysForAOD Storegate Keys For AOD 10.x]<br />
<br />
[https://uimon.cern.ch/twiki/bin/view/Atlas/ParticlePreselection Particle Preselection Cuts]<br />
<br />
[http://reserve02.usatlas.bnl.gov/lxr/source/atlas/PhysicsAnalysis/AnalysisCommon/ParticleEvent/ParticleEvent/Electron.h Electron.h]<br />
<br />
[http://reserve02.usatlas.bnl.gov/lxr/source/atlas/PhysicsAnalysis/AnalysisCommon/ParticleEvent/ParticleEvent/Muon.h Muon.h]<br />
<br />
[http://atlassw1.phy.bnl.gov/lxr/source/atlas/PhysicsAnalysis/AnalysisCommon/ParticleEvent/src/ParticleJet.cxx ParticleJet.cxx]</div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=AtlasTopPhysicsSamples&diff=873AtlasTopPhysicsSamples2005-11-16T12:13:06Z<p>Barison: /* The different samples */</p>
<hr />
<div>Location of ATLAS top group physics samples<br />
<br />
= The different samples =<br />
<br />
A short description of the sample necessary for the Rome tt analysis:<br />
<br />
<font color=blue>T1:</font> TTbar events using MCatNLO. Fully hadronic events were rejected. <br />
<br />
<font color=blue>T2:</font> TTbar events using MCatNLO. Fully hadronic events were rejected and at least 1 top has <math>p_T ></math> 500 GeV<br />
<br />
<font color=blue>A7:</font> W+4jet events using AlpGen.<br />
<br />
<b><font color="red">Note 1:</font></b> Given the limited manpower and diskspace we only collected a subset of all file formats (no 'simul' and ESD files for example).<br />
<br />
<b><font color="red">Note 2:</font></b> In producing the TopNtuples for the A7 sample some AODs were discarded since they gave problems. The TopNtuples have a bit less events than the AODs.<br />
<br />
<br />
<br />
A short description of the sample generated using TopReX.<br />
All samples were reconstructed with Full Simulation (GEANT4) unless specified.<br />
<br />
<font color=blue>4511:</font> W-gluon single top production.<br />
<br />
<font color=blue>4520:</font> ttbar pair production. W- decays to leptons (e, mu), W+ decays to jets<br />
<br />
<font color=blue>4521:</font> ttbar pair production. W+ decays to leptons (e, mu), W- decays to jets<br />
<br />
<font color=blue>4522:</font> ttbar pair production. Dilepton sample.<br />
<br />
<font color=blue>4530:</font> W-top associated production. W+ decaying to hadrons, W- decaying to leptons.<br />
<br />
<font color=blue>4531:</font> W-top associated production. W- decaying to hadrons, W+ decaying to leptons.<br />
<br />
<font color=blue>4540:</font> s-channel single top production.<br />
<br />
<font color=blue>4599:</font> Wbbbar background sample. ATLFAST ONLY.<br />
<br />
= Links to the available files =<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | T1 sample<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| MatrixElement files<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/MatrixElement/ Repository]<br />
| 200 x 12,500 events<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/Generator_PoolFiles/ Repository]<br />
| 200 x 5,000 events<br />
|-<br />
| CBNT<br />
| Rome<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/CBNT/CBNT_Rome Repository]<br />
| 7,000 x 50 events (1000 files missing)<br />
|-<br />
| rowspan=3 valign="center" | AOD<br />
| AtlFast<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/AOD/AOD_AtlFast Repository]<br />
| 200 x 5,000 events<br />
|-<br />
| Full (Rome)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/AOD/AOD_Rome Repository]<br />
| 4,000 x 50 events<br />
|-<br />
| Full (Rome/Eric)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/AOD/AOD_Eric Repository]<br />
| 7,000 x 50 events (few still missing)<br />
|-<br />
| rowspan=2 valign="center" | TopNtuple<br />
| AtlFast (V6)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/TopNtuple/TopNtuple_AtlFast/v6 Repository]<br />
| 20 x ?? events<br />
|-<br />
| Full (Rome/Eric) (V6)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/TopNtuple/TopNtuple_Eric/v6 Repository]<br />
| 14 x ?? events<br />
|-<br />
|}<br />
<br />
<b>How to get the Ntuples to your institute:</b><br />
<br />
To copy all TopNtuples from NIKHEF to your institute just get the following small python script called<br />
[http://www.nikhef.nl/pub/experiments/atlas/public/Rome/Scripts/Get_TopNtuples_From_NIKHEF.py Get_TopNtuples_From_NIKHEF.py] and run it: <tt>./Get_TopNtuples_From_NIKHEF.py</tt>.<br />
Note that for the AOD's you will have to do a bit more sophisticated and get a list of ascii files first (more later).<br />
<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | T2 sample<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| MatrixElement files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/MatrixElement/ Repository]<br />
| 100 x 12,500 events<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/Generator_PoolFiles/ Repository]<br />
| 100 x 5,000 events<br />
|-<br />
| CBNT<br />
| Rome<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/CBNT/CBNT_Rome/ Repository]<br />
| 100 x 50 events<br />
|-<br />
| rowspan=2 valign="center" | AOD<br />
| AtlFast<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/AOD/AOD_AtlFast Repository]<br />
| 100 x 5,000 events<br />
|-<br />
| Full (Rome)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/AOD/AOD_Rome Repository]<br />
| 8 x ?? events<br />
|-<br />
| rowspan=2 valign="center" | TopNtuple<br />
| AtlFast (V6)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/TopNtuple/TopNtuple_AtlFast/v6 Repository]<br />
| 9 x ?? events<br />
|-<br />
| Full (Rome) (V6)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/TopNtuple/TopNtuple_Rome/v6 Repository]<br />
| 2 x ?? events<br />
|-<br />
|}<br />
<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | A7 sample<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| AOD<br />
| Rome<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/A7/AOD/AOD_Rome Repository]<br />
| 180,000 events<br />
|-<br />
| rowspan=1 valign="center" | TopNtuple<br />
| Full (Rome) (V6)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/A7/TopNtuple/TopNtuple_Rome/v6 Repository]<br />
| 153,000 events<br />
|-<br />
|}<br />
<br />
<br />
<br />
<br />
<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4511<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4511/Generator_PoolFiles/ Repository]<br />
| 20 x 5,000 events<br />
|-<br />
| CBNT<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4511/CBNT/ Repository]<br />
| 2,000 x 50 events<br />
|-<br />
| AOD<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4511/AOD/ Repository]<br />
| 2,000 x 50 events<br />
|-<br />
| Top Ntuple<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4511/TopNtuple/ Repository]<br />
| 1 file, 84797 events<br />
|-<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4520<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4520/Generator_PoolFiles/ Repository]<br />
| 60 x 5,000 events<br />
|-<br />
| AOD<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4520/AOD/ Repository]<br />
| 2,000 x 50 events<br />
|-<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4521<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4521/Generator_PoolFiles/ Repository]<br />
| 60 x 5,000 events<br />
|-<br />
| AOD<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4521/AOD/ Repository]<br />
| 2,000 x 50 events<br />
|-<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4522<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4522/Generator_PoolFiles/ Repository]<br />
| 20 x 5,000 events<br />
|-<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4530<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4530/Generator_PoolFiles/ Repository]<br />
| 8 x 5,000 events<br />
|-<br />
| AOD<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4530/AOD/ Repository]<br />
| 800 x 50 events<br />
|-<br />
| Top Ntuple<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4530/TopNtuple/ Repository]<br />
| 1 file, 35336 events<br />
|-<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4531<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4531/Generator_PoolFiles/ Repository]<br />
| 8 x 5,000 events<br />
|-<br />
| AOD<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4531/AOD/ Repository]<br />
| 800 x 50 events<br />
|-<br />
| Top Ntuple<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4531/TopNtuple/ Repository]<br />
| 1 file, 34009 events<br />
|-<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4540<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4540/Generator_PoolFiles/ Repository]<br />
| 12 x 5,000 events<br />
|-<br />
| AOD<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4540/AOD/ Repository]<br />
| 1200 x 50 events<br />
|-<br />
| Top Ntuple<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4540/TopNtuple/ Repository]<br />
| 1 file, 44888 events<br />
|-<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4599<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4599/Generator_PoolFiles/ Repository]<br />
| 20 x 5,000 events<br />
|-<br />
| ATLFAST AOD<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4599/FAST_AOD/ Repository]<br />
| 20 x 5,000 events<br />
|-<br />
| Top Ntuple<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4599/TopNtuple/ Repository]<br />
| 1 file, 100k events<br />
|-<br />
|}</div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=AtlasTopPhysicsSamples&diff=794AtlasTopPhysicsSamples2005-11-16T12:12:49Z<p>Barison: /* The different samples */</p>
<hr />
<div>Location of ATLAS top group physics samples<br />
<br />
= The different samples =<br />
<br />
A short description of the sample necessary for the Rome tt analysis:<br />
<br />
<font color=blue>T1:</font> TTbar events using MCatNLO. Fully hadronic events were rejected. <br />
<br />
<font color=blue>T2:</font> TTbar events using MCatNLO. Fully hadronic events were rejected and at least 1 top has <math>p_T ></math> 500 GeV<br />
<br />
<font color=blue>A7:</font> W+4jet events using AlpGen.<br />
<br />
<b><font color="red">Note 1:</font></b> Given the limited manpower and diskspace we only collected a subset of all file formats (no 'simul' and ESD files for example).<br />
<br />
<b><font color="red">Note 2:</font></b> In producing the TopNtuples for the A7 sample some AODs were discarded since they gave problems. The TopNtuples have a bit less events than the AODs.<br />
<br />
<br />
<br />
A short description of the sample generated using TopReX. All sample were reconstructed with Full Simulation (GEANT4) unless specified.<br />
<br />
<font color=blue>4511:</font> W-gluon single top production.<br />
<br />
<font color=blue>4520:</font> ttbar pair production. W- decays to leptons (e, mu), W+ decays to jets<br />
<br />
<font color=blue>4521:</font> ttbar pair production. W+ decays to leptons (e, mu), W- decays to jets<br />
<br />
<font color=blue>4522:</font> ttbar pair production. Dilepton sample.<br />
<br />
<font color=blue>4530:</font> W-top associated production. W+ decaying to hadrons, W- decaying to leptons.<br />
<br />
<font color=blue>4531:</font> W-top associated production. W- decaying to hadrons, W+ decaying to leptons.<br />
<br />
<font color=blue>4540:</font> s-channel single top production.<br />
<br />
<font color=blue>4599:</font> Wbbbar background sample. ATLFAST ONLY.<br />
<br />
= Links to the available files =<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | T1 sample<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| MatrixElement files<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/MatrixElement/ Repository]<br />
| 200 x 12,500 events<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/Generator_PoolFiles/ Repository]<br />
| 200 x 5,000 events<br />
|-<br />
| CBNT<br />
| Rome<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/CBNT/CBNT_Rome Repository]<br />
| 7,000 x 50 events (1000 files missing)<br />
|-<br />
| rowspan=3 valign="center" | AOD<br />
| AtlFast<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/AOD/AOD_AtlFast Repository]<br />
| 200 x 5,000 events<br />
|-<br />
| Full (Rome)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/AOD/AOD_Rome Repository]<br />
| 4,000 x 50 events<br />
|-<br />
| Full (Rome/Eric)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/AOD/AOD_Eric Repository]<br />
| 7,000 x 50 events (few still missing)<br />
|-<br />
| rowspan=2 valign="center" | TopNtuple<br />
| AtlFast (V6)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/TopNtuple/TopNtuple_AtlFast/v6 Repository]<br />
| 20 x ?? events<br />
|-<br />
| Full (Rome/Eric) (V6)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/TopNtuple/TopNtuple_Eric/v6 Repository]<br />
| 14 x ?? events<br />
|-<br />
|}<br />
<br />
<b>How to get the Ntuples to your institute:</b><br />
<br />
To copy all TopNtuples from NIKHEF to your institute just get the following small python script called<br />
[http://www.nikhef.nl/pub/experiments/atlas/public/Rome/Scripts/Get_TopNtuples_From_NIKHEF.py Get_TopNtuples_From_NIKHEF.py] and run it: <tt>./Get_TopNtuples_From_NIKHEF.py</tt>.<br />
Note that for the AOD's you will have to do a bit more sophisticated and get a list of ascii files first (more later).<br />
<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | T2 sample<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| MatrixElement files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/MatrixElement/ Repository]<br />
| 100 x 12,500 events<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/Generator_PoolFiles/ Repository]<br />
| 100 x 5,000 events<br />
|-<br />
| CBNT<br />
| Rome<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/CBNT/CBNT_Rome/ Repository]<br />
| 100 x 50 events<br />
|-<br />
| rowspan=2 valign="center" | AOD<br />
| AtlFast<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/AOD/AOD_AtlFast Repository]<br />
| 100 x 5,000 events<br />
|-<br />
| Full (Rome)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/AOD/AOD_Rome Repository]<br />
| 8 x ?? events<br />
|-<br />
| rowspan=2 valign="center" | TopNtuple<br />
| AtlFast (V6)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/TopNtuple/TopNtuple_AtlFast/v6 Repository]<br />
| 9 x ?? events<br />
|-<br />
| Full (Rome) (V6)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/TopNtuple/TopNtuple_Rome/v6 Repository]<br />
| 2 x ?? events<br />
|-<br />
|}<br />
<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | A7 sample<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| AOD<br />
| Rome<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/A7/AOD/AOD_Rome Repository]<br />
| 180,000 events<br />
|-<br />
| rowspan=1 valign="center" | TopNtuple<br />
| Full (Rome) (V6)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/A7/TopNtuple/TopNtuple_Rome/v6 Repository]<br />
| 153,000 events<br />
|-<br />
|}<br />
<br />
<br />
<br />
<br />
<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4511<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4511/Generator_PoolFiles/ Repository]<br />
| 20 x 5,000 events<br />
|-<br />
| CBNT<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4511/CBNT/ Repository]<br />
| 2,000 x 50 events<br />
|-<br />
| AOD<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4511/AOD/ Repository]<br />
| 2,000 x 50 events<br />
|-<br />
| Top Ntuple<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4511/TopNtuple/ Repository]<br />
| 1 file, 84797 events<br />
|-<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4520<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4520/Generator_PoolFiles/ Repository]<br />
| 60 x 5,000 events<br />
|-<br />
| AOD<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4520/AOD/ Repository]<br />
| 2,000 x 50 events<br />
|-<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4521<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4521/Generator_PoolFiles/ Repository]<br />
| 60 x 5,000 events<br />
|-<br />
| AOD<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4521/AOD/ Repository]<br />
| 2,000 x 50 events<br />
|-<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4522<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4522/Generator_PoolFiles/ Repository]<br />
| 20 x 5,000 events<br />
|-<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4530<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4530/Generator_PoolFiles/ Repository]<br />
| 8 x 5,000 events<br />
|-<br />
| AOD<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4530/AOD/ Repository]<br />
| 800 x 50 events<br />
|-<br />
| Top Ntuple<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4530/TopNtuple/ Repository]<br />
| 1 file, 35336 events<br />
|-<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4531<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4531/Generator_PoolFiles/ Repository]<br />
| 8 x 5,000 events<br />
|-<br />
| AOD<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4531/AOD/ Repository]<br />
| 800 x 50 events<br />
|-<br />
| Top Ntuple<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4531/TopNtuple/ Repository]<br />
| 1 file, 34009 events<br />
|-<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4540<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4540/Generator_PoolFiles/ Repository]<br />
| 12 x 5,000 events<br />
|-<br />
| AOD<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4540/AOD/ Repository]<br />
| 1200 x 50 events<br />
|-<br />
| Top Ntuple<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4540/TopNtuple/ Repository]<br />
| 1 file, 44888 events<br />
|-<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4599<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4599/Generator_PoolFiles/ Repository]<br />
| 20 x 5,000 events<br />
|-<br />
| ATLFAST AOD<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4599/FAST_AOD/ Repository]<br />
| 20 x 5,000 events<br />
|-<br />
| Top Ntuple<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4599/TopNtuple/ Repository]<br />
| 1 file, 100k events<br />
|-<br />
|}</div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=User:Barison&diff=798User:Barison2005-11-11T17:08:13Z<p>Barison: </p>
<hr />
<div>The chapters of my doctoral thesis Mass measurements of the top quark in electroweak production channels at ATLAS<br />
<br />
[[Introduction]]<br />
<br />
[[Chapter I]]<br />
<br />
[[Chapter II]]<br />
<br />
[[Chapter III]] &mdash; [[http://www.nikhef.nl/~barison/cp3-proefschrift.pdf Available also in PDF format.]]<br />
<br />
[[Chapter IV]]<br />
<br />
[[Chapter V]] &mdash; [[http://www.nikhef.nl/~barison/cp5-proefschrift.pdf Available also in PDF format.]]<br />
<br />
[[Chapter VI]]<br />
<br />
[[Bibliography]]<br />
<br />
--[[User:Barison|Barison]] 14:18, 12 Oct 2005 (MET DST)</div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=User:Barison&diff=789User:Barison2005-11-11T17:08:02Z<p>Barison: </p>
<hr />
<div>The chapters of my doctoral thesis Mass measurements of the top quark in electroweak production channels at ATLAS<br />
<br />
[[Introduction]]<br />
<br />
[[Chapter I]]<br />
<br />
[[Chapter II]]<br />
<br />
[[Chapter III]] &mdash; [[http://www.nikhef.nl/~barison/cp3-proefschrift.pdf Available also in PDF format.]]<br />
<br />
[[Chapter IV]]<br />
<br />
[[Chapter V]] &mdash; [[http://www.nikhef.nl/~barison/cp3-proefschrift.pdf Available also in PDF format.]]<br />
<br />
[[Chapter VI]]<br />
<br />
[[Bibliography]]<br />
<br />
--[[User:Barison|Barison]] 14:18, 12 Oct 2005 (MET DST)</div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=AtlasTopPhysicsSamples&diff=793AtlasTopPhysicsSamples2005-10-29T12:37:01Z<p>Barison: /* Links to the available files */</p>
<hr />
<div>Location of ATLAS top group physics samples<br />
<br />
= The different samples =<br />
<br />
A short description of the sample necessary for the Rome tt analysis:<br />
<br />
<font color=blue>T1:</font> TTbar events using MCatNLO. Fully hadronic events were rejected. <br />
<br />
<font color=blue>T2:</font> TTbar events using MCatNLO. Fully hadronic events were rejected and at least 1 top has <math>p_T ></math> 500 GeV<br />
<br />
<font color=blue>A7:</font> W+4jet events using AlpGen.<br />
<br />
<b><font color="red">Note 1:</font></b> Given the limited manpower and diskspace we only collected a subset of all file formats (no 'simul' and ESD files for example).<br />
<br />
<b><font color="red">Note 2:</font></b> In producing the TopNtuples for the A7 sample some AODs were discarded since they gave problems. The TopNtuples have a bit less events than the AODs.<br />
<br />
<br />
<br />
A short description of the sample generated using TopReX:<br />
<br />
<font color=blue>4511:</font> W-gluon single top production.<br />
<br />
<font color=blue>4520:</font> ttbar pair production. W- decays to leptons (e, mu), W+ decays to jets<br />
<br />
<font color=blue>4521:</font> ttbar pair production. W+ decays to leptons (e, mu), W- decays to jets<br />
<br />
<font color=blue>4522:</font> ttbar pair production. Dilepton sample.<br />
<br />
<font color=blue>4530:</font> W-top associated production. W+ decaying to hadrons, W- decaying to leptons.<br />
<br />
<font color=blue>4531:</font> W-top associated production. W- decaying to hadrons, W+ decaying to leptons.<br />
<br />
<font color=blue>4540:</font> s-channel single top production.<br />
<br />
<font color=blue>4599:</font> Wbbbar background sample. ATLFAST ONLY.<br />
<br />
= Links to the available files =<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | T1 sample<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| MatrixElement files<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/MatrixElement/ Repository]<br />
| 200 x 12,500 events<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/Generator_PoolFiles/ Repository]<br />
| 200 x 5,000 events<br />
|-<br />
| CBNT<br />
| Rome<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/CBNT/CBNT_Rome Repository]<br />
| 7,000 x 50 events (1000 files missing)<br />
|-<br />
| rowspan=3 valign="center" | AOD<br />
| AtlFast<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/AOD/AOD_AtlFast Repository]<br />
| 200 x 5,000 events<br />
|-<br />
| Full (Rome)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/AOD/AOD_Rome Repository]<br />
| 4,000 x 50 events<br />
|-<br />
| Full (Rome/Eric)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/AOD/AOD_Eric Repository]<br />
| 7,000 x 50 events (few still missing)<br />
|-<br />
| rowspan=2 valign="center" | TopNtuple<br />
| AtlFast (V6)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/TopNtuple/TopNtuple_AtlFast/v6 Repository]<br />
| 20 x ?? events<br />
|-<br />
| Full (Rome/Eric) (V6)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/TopNtuple/TopNtuple_Eric/v6 Repository]<br />
| 14 x ?? events<br />
|-<br />
|}<br />
<br />
<b>How to get the Ntuples to your institute:</b><br />
<br />
To copy all TopNtuples from NIKHEF to your institute just get the following small python script called<br />
[http://www.nikhef.nl/pub/experiments/atlas/public/Rome/Scripts/Get_TopNtuples_From_NIKHEF.py Get_TopNtuples_From_NIKHEF.py] and run it: <tt>./Get_TopNtuples_From_NIKHEF.py</tt>.<br />
Note that for the AOD's you will have to do a bit more sophisticated and get a list of ascii files first (more later).<br />
<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | T2 sample<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| MatrixElement files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/MatrixElement/ Repository]<br />
| 100 x 12,500 events<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/Generator_PoolFiles/ Repository]<br />
| 100 x 5,000 events<br />
|-<br />
| CBNT<br />
| Rome<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/CBNT/CBNT_Rome/ Repository]<br />
| 100 x 50 events<br />
|-<br />
| rowspan=2 valign="center" | AOD<br />
| AtlFast<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/AOD/AOD_AtlFast Repository]<br />
| 100 x 5,000 events<br />
|-<br />
| Full (Rome)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/AOD/AOD_Rome Repository]<br />
| 8 x ?? events<br />
|-<br />
| rowspan=2 valign="center" | TopNtuple<br />
| AtlFast (V6)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/TopNtuple/TopNtuple_AtlFast/v6 Repository]<br />
| 9 x ?? events<br />
|-<br />
| Full (Rome) (V6)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/TopNtuple/TopNtuple_Rome/v6 Repository]<br />
| 2 x ?? events<br />
|-<br />
|}<br />
<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | A7 sample<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| AOD<br />
| Rome<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/A7/AOD/AOD_Rome Repository]<br />
| 180,000 events<br />
|-<br />
| rowspan=1 valign="center" | TopNtuple<br />
| Full (Rome) (V6)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/A7/TopNtuple/TopNtuple_Rome/v6 Repository]<br />
| 153,000 events<br />
|-<br />
|}<br />
<br />
<br />
<br />
<br />
<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4511<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4511/Generator_PoolFiles/ Repository]<br />
| 20 x 5,000 events<br />
|-<br />
| CBNT<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4511/CBNT/ Repository]<br />
| 2,000 x 50 events<br />
|-<br />
| AOD<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4511/AOD/ Repository]<br />
| 2,000 x 50 events<br />
|-<br />
| Top Ntuple<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4511/TopNtuple/ Repository]<br />
| 1 file, 84797 events<br />
|-<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4520<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4520/Generator_PoolFiles/ Repository]<br />
| 60 x 5,000 events<br />
|-<br />
| AOD<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4520/AOD/ Repository]<br />
| 2,000 x 50 events<br />
|-<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4521<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4521/Generator_PoolFiles/ Repository]<br />
| 60 x 5,000 events<br />
|-<br />
| AOD<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4521/AOD/ Repository]<br />
| 2,000 x 50 events<br />
|-<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4522<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4522/Generator_PoolFiles/ Repository]<br />
| 20 x 5,000 events<br />
|-<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4530<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4530/Generator_PoolFiles/ Repository]<br />
| 8 x 5,000 events<br />
|-<br />
| AOD<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4530/AOD/ Repository]<br />
| 800 x 50 events<br />
|-<br />
| Top Ntuple<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4530/TopNtuple/ Repository]<br />
| 1 file, 35336 events<br />
|-<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4531<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4531/Generator_PoolFiles/ Repository]<br />
| 8 x 5,000 events<br />
|-<br />
| AOD<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4531/AOD/ Repository]<br />
| 800 x 50 events<br />
|-<br />
| Top Ntuple<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4531/TopNtuple/ Repository]<br />
| 1 file, 34009 events<br />
|-<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4540<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4540/Generator_PoolFiles/ Repository]<br />
| 12 x 5,000 events<br />
|-<br />
| AOD<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4540/AOD/ Repository]<br />
| 1200 x 50 events<br />
|-<br />
| Top Ntuple<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4540/TopNtuple/ Repository]<br />
| 1 file, 44888 events<br />
|-<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4599<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4599/Generator_PoolFiles/ Repository]<br />
| 20 x 5,000 events<br />
|-<br />
| ATLFAST AOD<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4599/FAST_AOD/ Repository]<br />
| 20 x 5,000 events<br />
|-<br />
| Top Ntuple<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4599/TopNtuple/ Repository]<br />
| 1 file, 100k events<br />
|-<br />
|}</div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=AtlasTopPhysicsSamples&diff=695AtlasTopPhysicsSamples2005-10-29T12:26:39Z<p>Barison: /* The different samples */</p>
<hr />
<div>Location of ATLAS top group physics samples<br />
<br />
= The different samples =<br />
<br />
A short description of the sample necessary for the Rome tt analysis:<br />
<br />
<font color=blue>T1:</font> TTbar events using MCatNLO. Fully hadronic events were rejected. <br />
<br />
<font color=blue>T2:</font> TTbar events using MCatNLO. Fully hadronic events were rejected and at least 1 top has <math>p_T ></math> 500 GeV<br />
<br />
<font color=blue>A7:</font> W+4jet events using AlpGen.<br />
<br />
<b><font color="red">Note 1:</font></b> Given the limited manpower and diskspace we only collected a subset of all file formats (no 'simul' and ESD files for example).<br />
<br />
<b><font color="red">Note 2:</font></b> In producing the TopNtuples for the A7 sample some AODs were discarded since they gave problems. The TopNtuples have a bit less events than the AODs.<br />
<br />
<br />
<br />
A short description of the sample generated using TopReX:<br />
<br />
<font color=blue>4511:</font> W-gluon single top production.<br />
<br />
<font color=blue>4520:</font> ttbar pair production. W- decays to leptons (e, mu), W+ decays to jets<br />
<br />
<font color=blue>4521:</font> ttbar pair production. W+ decays to leptons (e, mu), W- decays to jets<br />
<br />
<font color=blue>4522:</font> ttbar pair production. Dilepton sample.<br />
<br />
<font color=blue>4530:</font> W-top associated production. W+ decaying to hadrons, W- decaying to leptons.<br />
<br />
<font color=blue>4531:</font> W-top associated production. W- decaying to hadrons, W+ decaying to leptons.<br />
<br />
<font color=blue>4540:</font> s-channel single top production.<br />
<br />
<font color=blue>4599:</font> Wbbbar background sample. ATLFAST ONLY.<br />
<br />
= Links to the available files =<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | T1 sample<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| MatrixElement files<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/MatrixElement/ Repository]<br />
| 200 x 12,500 events<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/Generator_PoolFiles/ Repository]<br />
| 200 x 5,000 events<br />
|-<br />
| CBNT<br />
| Rome<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/CBNT/CBNT_Rome Repository]<br />
| 7,000 x 50 events (1000 files missing)<br />
|-<br />
| rowspan=3 valign="center" | AOD<br />
| AtlFast<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/AOD/AOD_AtlFast Repository]<br />
| 200 x 5,000 events<br />
|-<br />
| Full (Rome)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/AOD/AOD_Rome Repository]<br />
| 4,000 x 50 events<br />
|-<br />
| Full (Rome/Eric)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/AOD/AOD_Eric Repository]<br />
| 7,000 x 50 events (few still missing)<br />
|-<br />
| rowspan=2 valign="center" | TopNtuple<br />
| AtlFast (V6)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/TopNtuple/TopNtuple_AtlFast/v6 Repository]<br />
| 20 x ?? events<br />
|-<br />
| Full (Rome/Eric) (V6)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/TopNtuple/TopNtuple_Eric/v6 Repository]<br />
| 14 x ?? events<br />
|-<br />
|}<br />
<br />
<b>How to get the Ntuples to your institute:</b><br />
<br />
To copy all TopNtuples from NIKHEF to your institute just get the following small python script called<br />
[http://www.nikhef.nl/pub/experiments/atlas/public/Rome/Scripts/Get_TopNtuples_From_NIKHEF.py Get_TopNtuples_From_NIKHEF.py] and run it: <tt>./Get_TopNtuples_From_NIKHEF.py</tt>.<br />
Note that for the AOD's you will have to do a bit more sophisticated and get a list of ascii files first (more later).<br />
<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | T2 sample<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| MatrixElement files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/MatrixElement/ Repository]<br />
| 100 x 12,500 events<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/Generator_PoolFiles/ Repository]<br />
| 100 x 5,000 events<br />
|-<br />
| CBNT<br />
| Rome<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/CBNT/CBNT_Rome/ Repository]<br />
| 100 x 50 events<br />
|-<br />
| rowspan=2 valign="center" | AOD<br />
| AtlFast<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/AOD/AOD_AtlFast Repository]<br />
| 100 x 5,000 events<br />
|-<br />
| Full (Rome)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/AOD/AOD_Rome Repository]<br />
| 8 x ?? events<br />
|-<br />
| rowspan=2 valign="center" | TopNtuple<br />
| AtlFast (V6)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/TopNtuple/TopNtuple_AtlFast/v6 Repository]<br />
| 9 x ?? events<br />
|-<br />
| Full (Rome) (V6)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/TopNtuple/TopNtuple_Rome/v6 Repository]<br />
| 2 x ?? events<br />
|-<br />
|}<br />
<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | A7 sample<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| AOD<br />
| Rome<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/A7/AOD/AOD_Rome Repository]<br />
| 180,000 events<br />
|-<br />
| rowspan=1 valign="center" | TopNtuple<br />
| Full (Rome) (V6)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/A7/TopNtuple/TopNtuple_Rome/v6 Repository]<br />
| 153,000 events<br />
|-<br />
|}<br />
<br />
<br />
<br />
<br />
<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4511<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4511/Generator_PoolFiles/ Repository]<br />
| 20 x 5,000 events<br />
|-<br />
| CBNT<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4511/CBNT/ Repository]<br />
| 2,000 x 50 events<br />
|-<br />
| AOD<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4511/AOD/ Repository]<br />
| 2,000 x 50 events<br />
|-<br />
| Top Ntuple<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4511/TopNtuple/ Repository]<br />
| 1 file, 84797 events<br />
|-<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4530<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4530/Generator_PoolFiles/ Repository]<br />
| 8 x 5,000 events<br />
|-<br />
| AOD<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4530/AOD/ Repository]<br />
| 800 x 50 events<br />
|-<br />
| Top Ntuple<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4530/TopNtuple/ Repository]<br />
| 1 file, 35336 events<br />
|-<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4531<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4531/Generator_PoolFiles/ Repository]<br />
| 8 x 5,000 events<br />
|-<br />
| AOD<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4531/AOD/ Repository]<br />
| 800 x 50 events<br />
|-<br />
| Top Ntuple<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4531/TopNtuple/ Repository]<br />
| 1 file, 34009 events<br />
|-<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4540<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4540/Generator_PoolFiles/ Repository]<br />
| 12 x 5,000 events<br />
|-<br />
| AOD<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4540/AOD/ Repository]<br />
| 1200 x 50 events<br />
|-<br />
| Top Ntuple<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4540/TopNtuple/ Repository]<br />
| 1 file, 44888 events<br />
|-<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4599<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4599/Generator_PoolFiles/ Repository]<br />
| 20 x 5,000 events<br />
|-<br />
| ATLFAST AOD<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4599/FAST_AOD/ Repository]<br />
| 20 x 5,000 events<br />
|-<br />
| Top Ntuple<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4599/TopNtuple/ Repository]<br />
| 1 file, 100k events<br />
|-<br />
|}</div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=AtlasTopPhysicsSamples&diff=694AtlasTopPhysicsSamples2005-10-29T12:25:05Z<p>Barison: /* The different samples */</p>
<hr />
<div>Location of ATLAS top group physics samples<br />
<br />
= The different samples =<br />
<br />
A short description of the sample necessary for the Rome tt analysis:<br />
<br />
<font color=blue>T1:</font> TTbar events using MCatNLO. Fully hadronic events were rejected. <br />
<br />
<font color=blue>T2:</font> TTbar events using MCatNLO. Fully hadronic events were rejected and at least 1 top has <math>p_T ></math> 500 GeV<br />
<br />
<font color=blue>A7:</font> W+4jet events using AlpGen.<br />
<br />
<b><font color="red">Note 1:</font></b> Given the limited manpower and diskspace we only collected a subset of all file formats (no 'simul' and ESD files for example).<br />
<br />
<b><font color="red">Note 2:</font></b> In producing the TopNtuples for the A7 sample some AODs were discarded since they gave problems. The TopNtuples have a bit less events than the AODs.<br />
<br />
<br />
<br />
A short description of the sample necessary for the single-top analysis:<br />
<br />
<font color=blue>4511:</font> W-gluon single top production using TopReX.<br />
<br />
<font color=blue>4520:</font> ttbar pair production using TopReX. W- decays to leptons (e, mu), W+ decays to jets<br />
<br />
<font color=blue>4521:</font> ttbar pair production using TopReX. W+ decays to leptons (e, mu), W- decays to jets<br />
<br />
<font color=blue>4522:</font> ttbar pair production using TopReX. Dilepton sample.<br />
<br />
<font color=blue>4530:</font> W-top associated production using TopReX. W+ decaying to hadrons, W- decaying to leptons.<br />
<br />
<font color=blue>4531:</font> W-top associated production using TopReX. W- decaying to hadrons, W+ decaying to leptons.<br />
<br />
<font color=blue>4540:</font> s-channel single top production using TopReX.<br />
<br />
<font color=blue>4599:</font> Wbbbar background sample by TopReX. ATLFAST ONLY.<br />
<br />
= Links to the available files =<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | T1 sample<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| MatrixElement files<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/MatrixElement/ Repository]<br />
| 200 x 12,500 events<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/Generator_PoolFiles/ Repository]<br />
| 200 x 5,000 events<br />
|-<br />
| CBNT<br />
| Rome<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/CBNT/CBNT_Rome Repository]<br />
| 7,000 x 50 events (1000 files missing)<br />
|-<br />
| rowspan=3 valign="center" | AOD<br />
| AtlFast<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/AOD/AOD_AtlFast Repository]<br />
| 200 x 5,000 events<br />
|-<br />
| Full (Rome)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/AOD/AOD_Rome Repository]<br />
| 4,000 x 50 events<br />
|-<br />
| Full (Rome/Eric)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/AOD/AOD_Eric Repository]<br />
| 7,000 x 50 events (few still missing)<br />
|-<br />
| rowspan=2 valign="center" | TopNtuple<br />
| AtlFast (V6)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/TopNtuple/TopNtuple_AtlFast/v6 Repository]<br />
| 20 x ?? events<br />
|-<br />
| Full (Rome/Eric) (V6)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/TopNtuple/TopNtuple_Eric/v6 Repository]<br />
| 14 x ?? events<br />
|-<br />
|}<br />
<br />
<b>How to get the Ntuples to your institute:</b><br />
<br />
To copy all TopNtuples from NIKHEF to your institute just get the following small python script called<br />
[http://www.nikhef.nl/pub/experiments/atlas/public/Rome/Scripts/Get_TopNtuples_From_NIKHEF.py Get_TopNtuples_From_NIKHEF.py] and run it: <tt>./Get_TopNtuples_From_NIKHEF.py</tt>.<br />
Note that for the AOD's you will have to do a bit more sophisticated and get a list of ascii files first (more later).<br />
<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | T2 sample<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| MatrixElement files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/MatrixElement/ Repository]<br />
| 100 x 12,500 events<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/Generator_PoolFiles/ Repository]<br />
| 100 x 5,000 events<br />
|-<br />
| CBNT<br />
| Rome<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/CBNT/CBNT_Rome/ Repository]<br />
| 100 x 50 events<br />
|-<br />
| rowspan=2 valign="center" | AOD<br />
| AtlFast<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/AOD/AOD_AtlFast Repository]<br />
| 100 x 5,000 events<br />
|-<br />
| Full (Rome)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/AOD/AOD_Rome Repository]<br />
| 8 x ?? events<br />
|-<br />
| rowspan=2 valign="center" | TopNtuple<br />
| AtlFast (V6)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/TopNtuple/TopNtuple_AtlFast/v6 Repository]<br />
| 9 x ?? events<br />
|-<br />
| Full (Rome) (V6)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/TopNtuple/TopNtuple_Rome/v6 Repository]<br />
| 2 x ?? events<br />
|-<br />
|}<br />
<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | A7 sample<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| AOD<br />
| Rome<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/A7/AOD/AOD_Rome Repository]<br />
| 180,000 events<br />
|-<br />
| rowspan=1 valign="center" | TopNtuple<br />
| Full (Rome) (V6)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/A7/TopNtuple/TopNtuple_Rome/v6 Repository]<br />
| 153,000 events<br />
|-<br />
|}<br />
<br />
<br />
<br />
<br />
<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4511<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4511/Generator_PoolFiles/ Repository]<br />
| 20 x 5,000 events<br />
|-<br />
| CBNT<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4511/CBNT/ Repository]<br />
| 2,000 x 50 events<br />
|-<br />
| AOD<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4511/AOD/ Repository]<br />
| 2,000 x 50 events<br />
|-<br />
| Top Ntuple<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4511/TopNtuple/ Repository]<br />
| 1 file, 84797 events<br />
|-<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4530<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4530/Generator_PoolFiles/ Repository]<br />
| 8 x 5,000 events<br />
|-<br />
| AOD<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4530/AOD/ Repository]<br />
| 800 x 50 events<br />
|-<br />
| Top Ntuple<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4530/TopNtuple/ Repository]<br />
| 1 file, 35336 events<br />
|-<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4531<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4531/Generator_PoolFiles/ Repository]<br />
| 8 x 5,000 events<br />
|-<br />
| AOD<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4531/AOD/ Repository]<br />
| 800 x 50 events<br />
|-<br />
| Top Ntuple<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4531/TopNtuple/ Repository]<br />
| 1 file, 34009 events<br />
|-<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4540<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4540/Generator_PoolFiles/ Repository]<br />
| 12 x 5,000 events<br />
|-<br />
| AOD<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4540/AOD/ Repository]<br />
| 1200 x 50 events<br />
|-<br />
| Top Ntuple<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4540/TopNtuple/ Repository]<br />
| 1 file, 44888 events<br />
|-<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4599<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4599/Generator_PoolFiles/ Repository]<br />
| 20 x 5,000 events<br />
|-<br />
| ATLFAST AOD<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4599/FAST_AOD/ Repository]<br />
| 20 x 5,000 events<br />
|-<br />
| Top Ntuple<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4599/TopNtuple/ Repository]<br />
| 1 file, 100k events<br />
|-<br />
|}</div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=AtlasTopPhysicsSamples&diff=665AtlasTopPhysicsSamples2005-10-18T09:31:29Z<p>Barison: /* Links to the available files */</p>
<hr />
<div>Location of ATLAS top group physics samples<br />
<br />
= The different samples =<br />
<br />
A short description of the sample necessary for the Rome tt analysis:<br />
<br />
<font color=blue>T1:</font> TTbar events using MCatNLO. Fully hadronic events were rejected. <br />
<br />
<font color=blue>T2:</font> TTbar events using MCatNLO. Fully hadronic events were rejected and at least 1 top has <math>p_T ></math> 500 GeV<br />
<br />
<font color=blue>A7:</font> W+4jet events using AlpGen.<br />
<br />
<b><font color="red">Note:</font></b> Given the limited manpower and diskspace we only collected a subset of all file formats (no 'simul' and ESD files for example).<br />
<br />
<br />
<br />
A short description of the sample necessary for the single-top analysis:<br />
<br />
<font color=blue>4511:</font> W-gluon single top production using TopReX.<br />
<br />
<font color=blue>4530:</font> W-top associated production using TopReX. W+ decaying to hadrons, W- decaying to leptons.<br />
<br />
<font color=blue>4531:</font> W-top associated production using TopReX. W- decaying to hadrons, W+ decaying to leptons.<br />
<br />
<font color=blue>4540:</font> s-channel single top production using TopReX.<br />
<br />
<font color=blue>4599:</font> Wbbbar background sample by TopReX. ATLFAST ONLY.<br />
<br />
= Links to the available files =<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | T1 sample<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| MatrixElement files<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/MatrixElement/ Repository]<br />
| 200 x 12,500 events<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/Generator_PoolFiles/ Repository]<br />
| 200 x 5,000 events<br />
|-<br />
| CBNT<br />
| Rome<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/CBNT/CBNT_Rome Repository]<br />
| 7,000 x 50 events (1000 files missing)<br />
|-<br />
| rowspan=3 valign="center" | AOD<br />
| AtlFast<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/AOD/AOD_AtlFast Repository]<br />
| 200 x 5,000 events<br />
|-<br />
| Full (Rome)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/AOD/AOD_Rome Repository]<br />
| 4,000 x 50 events<br />
|-<br />
| Full (Rome/Eric)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/AOD/AOD_Eric Repository]<br />
| 7,000 x 50 events (few still missing)<br />
|-<br />
| rowspan=2 valign="center" | TopNtuple<br />
| AtlFast (V6)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/TopNtuple/TopNtuple_AtlFast/v6 Repository]<br />
| 20 x ?? events<br />
|-<br />
| Full (Rome/Eric) (V6)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/TopNtuple/TopNtuple_Eric/v6 Repository]<br />
| 14 x ?? events<br />
|-<br />
|}<br />
<br />
<b>How to get the Ntuples to your institute:</b><br />
<br />
To copy all TopNtuples from NIKHEF to your institute just get the following small python script called<br />
[http://www.nikhef.nl/pub/experiments/atlas/public/Rome/Scripts/Get_TopNtuples_From_NIKHEF.py Get_TopNtuples_From_NIKHEF.py] and run it: <tt>./Get_TopNtuples_From_NIKHEF.py</tt>.<br />
Note that for the AOD's you will have to do a bit more sophisticated and get a list of ascii files first (more later).<br />
<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | T2 sample<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| MatrixElement files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/MatrixElement/ Repository]<br />
| 100 x 12,500 events<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/Generator_PoolFiles/ Repository]<br />
| 100 x 5,000 events<br />
|-<br />
| CBNT<br />
| Rome<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/CBNT/CBNT_Rome/ Repository]<br />
| 100 x 50 events<br />
|-<br />
| rowspan=2 valign="center" | AOD<br />
| AtlFast<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/AOD/AOD_AtlFast Repository]<br />
| 100 x 5,000 events<br />
|-<br />
| Full (Rome)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/AOD/AOD_Rome Repository]<br />
| 8 x ?? events<br />
|-<br />
| rowspan=2 valign="center" | TopNtuple<br />
| AtlFast (V6)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/TopNtuple/TopNtuple_AtlFast/v6 Repository]<br />
| 9 x ?? events<br />
|-<br />
| Full (Rome) (V6)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/TopNtuple/TopNtuple_Rome/v6 Repository]<br />
| 2 x ?? events<br />
|-<br />
|}<br />
<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | A7 sample<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| AOD<br />
| Rome<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/A7/AOD/AOD_Rome Repository]<br />
| 4,000 x 50 events<br />
|-<br />
| rowspan=1 valign="center" | TopNtuple<br />
| Full (Rome) (V6)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/A7/TopNtuple/TopNtuple_Rome/v6 Repository]<br />
| 4 x 35,000 events<br />
|-<br />
|}<br />
<br />
<br />
<br />
<br />
<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4511<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4511/Generator_PoolFiles/ Repository]<br />
| 20 x 5,000 events<br />
|-<br />
| CBNT<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4511/CBNT/ Repository]<br />
| 2,000 x 50 events<br />
|-<br />
| AOD<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4511/AOD/ Repository]<br />
| 2,000 x 50 events<br />
|-<br />
| Top Ntuple<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4511/TopNtuple/ Repository]<br />
| 1 file, 84797 events<br />
|-<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4530<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4530/Generator_PoolFiles/ Repository]<br />
| 8 x 5,000 events<br />
|-<br />
| AOD<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4530/AOD/ Repository]<br />
| 800 x 50 events<br />
|-<br />
| Top Ntuple<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4530/TopNtuple/ Repository]<br />
| 1 file, 35336 events<br />
|-<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4531<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4531/Generator_PoolFiles/ Repository]<br />
| 8 x 5,000 events<br />
|-<br />
| AOD<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4531/AOD/ Repository]<br />
| 800 x 50 events<br />
|-<br />
| Top Ntuple<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4531/TopNtuple/ Repository]<br />
| 1 file, 34009 events<br />
|-<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4540<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4540/Generator_PoolFiles/ Repository]<br />
| 12 x 5,000 events<br />
|-<br />
| AOD<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4540/AOD/ Repository]<br />
| 1200 x 50 events<br />
|-<br />
| Top Ntuple<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4540/TopNtuple/ Repository]<br />
| 1 file, 44888 events<br />
|-<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4599<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4599/Generator_PoolFiles/ Repository]<br />
| 20 x 5,000 events<br />
|-<br />
| ATLFAST AOD<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4599/FAST_AOD/ Repository]<br />
| 20 x 5,000 events<br />
|-<br />
| Top Ntuple<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4599/TopNtuple/ Repository]<br />
| 1 file, 100k events<br />
|-<br />
|}</div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=AtlasTopPhysicsSamples&diff=660AtlasTopPhysicsSamples2005-10-18T08:55:34Z<p>Barison: /* Links to the available files */</p>
<hr />
<div>Location of ATLAS top group physics samples<br />
<br />
= The different samples =<br />
<br />
A short description of the sample necessary for the Rome tt analysis:<br />
<br />
<font color=blue>T1:</font> TTbar events using MCatNLO. Fully hadronic events were rejected. <br />
<br />
<font color=blue>T2:</font> TTbar events using MCatNLO. Fully hadronic events were rejected and at least 1 top has <math>p_T ></math> 500 GeV<br />
<br />
<font color=blue>A7:</font> W+4jet events using AlpGen.<br />
<br />
<b><font color="red">Note:</font></b> Given the limited manpower and diskspace we only collected a subset of all file formats (no 'simul' and ESD files for example).<br />
<br />
<br />
<br />
A short description of the sample necessary for the single-top analysis:<br />
<br />
<font color=blue>4511:</font> W-gluon single top production using TopReX.<br />
<br />
<font color=blue>4530:</font> W-top associated production using TopReX. W+ decaying to hadrons, W- decaying to leptons.<br />
<br />
<font color=blue>4531:</font> W-top associated production using TopReX. W- decaying to hadrons, W+ decaying to leptons.<br />
<br />
<font color=blue>4540:</font> s-channel single top production using TopReX.<br />
<br />
<font color=blue>4599:</font> Wbbbar background sample by TopReX. ATLFAST ONLY.<br />
<br />
= Links to the available files =<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | T1 sample<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| MatrixElement files<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/MatrixElement/ Repository]<br />
| 200 x 12,500 events<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/Generator_PoolFiles/ Repository]<br />
| 200 x 5,000 events<br />
|-<br />
| CBNT<br />
| Rome<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/CBNT/CBNT_Rome Repository]<br />
| 7,000 x 50 events (1000 files missing)<br />
|-<br />
| rowspan=3 valign="center" | AOD<br />
| AtlFast<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/AOD/AOD_AtlFast Repository]<br />
| 200 x 5,000 events<br />
|-<br />
| Full (Rome)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/AOD/AOD_Rome Repository]<br />
| 4,000 x 50 events<br />
|-<br />
| Full (Rome/Eric)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/AOD/AOD_Eric Repository]<br />
| 7,000 x 50 events (few still missing)<br />
|-<br />
| rowspan=2 valign="center" | TopNtuple<br />
| AtlFast (V6)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/TopNtuple/TopNtuple_AtlFast/v6 Repository]<br />
| 20 x ?? events<br />
|-<br />
| Full (Rome/Eric) (V6)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/TopNtuple/TopNtuple_Eric/v6 Repository]<br />
| 14 x ?? events<br />
|-<br />
|}<br />
<br />
<b>How to get the Ntuples to your institute:</b><br />
<br />
To copy all TopNtuples from NIKHEF to your institute just get the following small python script called<br />
[http://www.nikhef.nl/pub/experiments/atlas/public/Rome/Scripts/Get_TopNtuples_From_NIKHEF.py Get_TopNtuples_From_NIKHEF.py] and run it: <tt>./Get_TopNtuples_From_NIKHEF.py</tt>.<br />
Note that for the AOD's you will have to do a bit more sophisticated and get a list of ascii files first (more later).<br />
<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | T2 sample<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| MatrixElement files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/MatrixElement/ Repository]<br />
| 100 x 12,500 events<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/Generator_PoolFiles/ Repository]<br />
| 100 x 5,000 events<br />
|-<br />
| CBNT<br />
| Rome<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/CBNT/CBNT_Rome/ Repository]<br />
| 100 x 50 events<br />
|-<br />
| rowspan=2 valign="center" | AOD<br />
| AtlFast<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/AOD/AOD_AtlFast Repository]<br />
| 100 x 5,000 events<br />
|-<br />
| Full (Rome)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/AOD/AOD_Rome Repository]<br />
| 8 x ?? events<br />
|-<br />
| rowspan=2 valign="center" | TopNtuple<br />
| AtlFast (V6)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/TopNtuple/TopNtuple_AtlFast/v6 Repository]<br />
| 9 x ?? events<br />
|-<br />
| Full (Rome) (V6)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/TopNtuple/TopNtuple_Rome/v6 Repository]<br />
| 2 x ?? events<br />
|-<br />
|}<br />
<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | A7 sample<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| AOD<br />
| Rome<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/A7/AOD/AOD_Rome Repository]<br />
| 4,000 x 50 events<br />
|-<br />
| rowspan=1 valign="center" | TopNtuple<br />
| Full (Rome) (V6)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/A7/TopNtuple/TopNtuple_Rome/v6 Repository]<br />
| 4 x 35,000 events<br />
|-<br />
|}<br />
<br />
<br />
<br />
<br />
<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4511<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4511/Generator_PoolFiles/ Repository]<br />
| 20 x 5,000 events<br />
|-<br />
| CBNT<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4511/CBNT/ Repository]<br />
| 2,000 x 50 events<br />
|-<br />
| AOD<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4511/AOD/ Repository]<br />
| 2,000 x 50 events<br />
|-<br />
| Top Ntuple<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4511/TopNtuple/ Repository]<br />
| 1 file, ~88k events<br />
|-<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4530<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4530/Generator_PoolFiles/ Repository]<br />
| 8 x 5,000 events<br />
|-<br />
| AOD<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4530/AOD/ Repository]<br />
| 800 x 50 events<br />
|-<br />
| Top Ntuple<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4530/TopNtuple/ Repository]<br />
| 1 file, ~38k events<br />
|-<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4531<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4531/Generator_PoolFiles/ Repository]<br />
| 8 x 5,000 events<br />
|-<br />
| AOD<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4531/AOD/ Repository]<br />
| 800 x 50 events<br />
|-<br />
| Top Ntuple<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4531/TopNtuple/ Repository]<br />
| 1 file, ~38k events<br />
|-<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4540<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4540/Generator_PoolFiles/ Repository]<br />
| 12 x 5,000 events<br />
|-<br />
| AOD<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4540/AOD/ Repository]<br />
| 1200 x 50 events<br />
|-<br />
| Top Ntuple<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4540/TopNtuple/ Repository]<br />
| 1 file, ~66k events<br />
|-<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4599<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4599/Generator_PoolFiles/ Repository]<br />
| 20 x 5,000 events<br />
|-<br />
| ATLFAST AOD<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4599/FAST_AOD/ Repository]<br />
| 20 x 5,000 events<br />
|-<br />
| Top Ntuple<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4599/TopNtuple/ Repository]<br />
| 1 file, 100k events<br />
|-<br />
|}</div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=AtlasTopPhysicsSamples&diff=659AtlasTopPhysicsSamples2005-10-18T08:51:29Z<p>Barison: /* Links to the available files */</p>
<hr />
<div>Location of ATLAS top group physics samples<br />
<br />
= The different samples =<br />
<br />
A short description of the sample necessary for the Rome tt analysis:<br />
<br />
<font color=blue>T1:</font> TTbar events using MCatNLO. Fully hadronic events were rejected. <br />
<br />
<font color=blue>T2:</font> TTbar events using MCatNLO. Fully hadronic events were rejected and at least 1 top has <math>p_T ></math> 500 GeV<br />
<br />
<font color=blue>A7:</font> W+4jet events using AlpGen.<br />
<br />
<b><font color="red">Note:</font></b> Given the limited manpower and diskspace we only collected a subset of all file formats (no 'simul' and ESD files for example).<br />
<br />
<br />
<br />
A short description of the sample necessary for the single-top analysis:<br />
<br />
<font color=blue>4511:</font> W-gluon single top production using TopReX.<br />
<br />
<font color=blue>4530:</font> W-top associated production using TopReX. W+ decaying to hadrons, W- decaying to leptons.<br />
<br />
<font color=blue>4531:</font> W-top associated production using TopReX. W- decaying to hadrons, W+ decaying to leptons.<br />
<br />
<font color=blue>4540:</font> s-channel single top production using TopReX.<br />
<br />
<font color=blue>4599:</font> Wbbbar background sample by TopReX. ATLFAST ONLY.<br />
<br />
= Links to the available files =<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | T1 sample<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| MatrixElement files<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/MatrixElement/ Repository]<br />
| 200 x 12,500 events<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/Generator_PoolFiles/ Repository]<br />
| 200 x 5,000 events<br />
|-<br />
| CBNT<br />
| Rome<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/CBNT/CBNT_Rome Repository]<br />
| 7,000 x 50 events (1000 files missing)<br />
|-<br />
| rowspan=3 valign="center" | AOD<br />
| AtlFast<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/AOD/AOD_AtlFast Repository]<br />
| 200 x 5,000 events<br />
|-<br />
| Full (Rome)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/AOD/AOD_Rome Repository]<br />
| 4,000 x 50 events<br />
|-<br />
| Full (Rome/Eric)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/AOD/AOD_Eric Repository]<br />
| 7,000 x 50 events (few still missing)<br />
|-<br />
| rowspan=2 valign="center" | TopNtuple<br />
| AtlFast (V6)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/TopNtuple/TopNtuple_AtlFast/v6 Repository]<br />
| 20 x ?? events<br />
|-<br />
| Full (Rome/Eric) (V6)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T1/TopNtuple/TopNtuple_Eric/v6 Repository]<br />
| 14 x ?? events<br />
|-<br />
|}<br />
<br />
<b>How to get the Ntuples to your institute:</b><br />
<br />
To copy all TopNtuples from NIKHEF to your institute just get the following small python script called<br />
[http://www.nikhef.nl/pub/experiments/atlas/public/Rome/Scripts/Get_TopNtuples_From_NIKHEF.py Get_TopNtuples_From_NIKHEF.py] and run it: <tt>./Get_TopNtuples_From_NIKHEF.py</tt>.<br />
Note that for the AOD's you will have to do a bit more sophisticated and get a list of ascii files first (more later).<br />
<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | T2 sample<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| MatrixElement files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/MatrixElement/ Repository]<br />
| 100 x 12,500 events<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/Generator_PoolFiles/ Repository]<br />
| 100 x 5,000 events<br />
|-<br />
| CBNT<br />
| Rome<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/CBNT/CBNT_Rome/ Repository]<br />
| 100 x 50 events<br />
|-<br />
| rowspan=2 valign="center" | AOD<br />
| AtlFast<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/AOD/AOD_AtlFast Repository]<br />
| 100 x 5,000 events<br />
|-<br />
| Full (Rome)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/AOD/AOD_Rome Repository]<br />
| 8 x ?? events<br />
|-<br />
| rowspan=2 valign="center" | TopNtuple<br />
| AtlFast (V6)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/TopNtuple/TopNtuple_AtlFast/v6 Repository]<br />
| 9 x ?? events<br />
|-<br />
| Full (Rome) (V6)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/T2/TopNtuple/TopNtuple_Rome/v6 Repository]<br />
| 2 x ?? events<br />
|-<br />
|}<br />
<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | A7 sample<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| AOD<br />
| Rome<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/A7/AOD/AOD_Rome Repository]<br />
| 4,000 x 50 events<br />
|-<br />
| rowspan=1 valign="center" | TopNtuple<br />
| Full (Rome) (V6)<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/A7/TopNtuple/TopNtuple_Rome/v6 Repository]<br />
| 4 x 35,000 events<br />
|-<br />
|}<br />
<br />
<br />
<br />
<br />
<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4511<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4511/Generator_PoolFiles/ Repository]<br />
| 20 x 5,000 events<br />
|-<br />
| CBNT<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4511/CBNT/ Repository]<br />
| 2,000 x 50 events<br />
|-<br />
| AOD<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4511/AOD/ Repository]<br />
| 2,000 x 50 events<br />
|-<br />
| Top Ntuple<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4511/TopNtuple/ Repository]<br />
| 1 file, ~88k events<br />
|-<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4530<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4530/Generator_PoolFiles/ Repository]<br />
| 8 x 5,000 events<br />
|-<br />
| AOD<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4530/AOD/ Repository]<br />
| 800 x 50 events<br />
|-<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4531<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4531/Generator_PoolFiles/ Repository]<br />
| 8 x 5,000 events<br />
|-<br />
| AOD<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4531/AOD/ Repository]<br />
| 800 x 50 events<br />
|-<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4540<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4540/Generator_PoolFiles/ Repository]<br />
| 12 x 5,000 events<br />
|-<br />
| AOD<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4540/AOD/ Repository]<br />
| 1200 x 50 events<br />
|-<br />
|}<br />
<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
! style="background:#ffba00;" | sample 4599<br />
|}<br />
{| border="1" cellpadding="2" cellspacing="0"<br />
|-<br />
| style ="background:#3399ff;" | Sample <br />
| style ="background:#3399ff;" | Sub-sample <br />
| style ="background:#3399ff;" | Location <br />
| style ="background:#3399ff;" | Statistics<br />
|-<br />
| Generator POOL files<br />
|<br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4599/Generator_PoolFiles/ Repository]<br />
| 20 x 5,000 events<br />
|-<br />
| ATLFAST AOD<br />
| <br />
| [http://www.nikhef.nl/pub/experiments/atlas/public/Rome/4599/FAST_AOD/ Repository]<br />
| 20 x 5,000 events<br />
|-<br />
|}</div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=User:Barison&diff=788User:Barison2005-10-14T15:50:48Z<p>Barison: </p>
<hr />
<div>The chapters of my doctoral thesis Mass measurements of the top quark in electroweak production channels at ATLAS<br />
<br />
[[Introduction]]<br />
<br />
[[Chapter I]]<br />
<br />
[[Chapter II]]<br />
<br />
[[Chapter III]] &mdash; [[http://www.nikhef.nl/~barison/cp3-proefschrift.pdf Available also in PDF format.]]<br />
<br />
[[Chapter IV]]<br />
<br />
[[Chapter V]]<br />
<br />
[[Chapter VI]]<br />
<br />
[[Bibliography]]<br />
<br />
--[[User:Barison|Barison]] 14:18, 12 Oct 2005 (MET DST)</div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=Chapter_VI&diff=4732Chapter VI2005-10-12T15:04:04Z<p>Barison: </p>
<hr />
<div>--[[User:Barison|Barison]] 14:38, 12 Oct 2005 (MET DST)<br />
<br />
<!--TOC chapter Analysis--><br />
<br />
<H1>Chapter&nbsp;6&nbsp;&nbsp;Analysis</H1><!--SEC END --><br />
<br />
<UL><LI>single top channels are little affected by combinatorics<br />
<LI>however ttbar and wjj backgrounds are dominant<br />
<LI>need to find good trade-off between selection efficiency and background rejection<br />
</UL><br />
<!--TOC section AOD Definitions--><br />
<br />
<H2>6.1&nbsp;&nbsp;AOD Definitions</H2><!--SEC END --><br />
<br />
Insert work on: electron selection, bjet tagging<BR><br />
<BR><br />
<!--TOC subsection Electrons--><br />
<br />
<H3>6.1.1&nbsp;&nbsp;Electrons</H3><!--SEC END --><br />
<br />
In the AOD data file, two types of electron candidates are present, reconstructed with different algorithms:<br />
<UL><LI>the <TT>softe</TT> algorithm, which is optimised to reconstruct electron candidates with <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I>&lt; 10&nbsp;GeV;<br />
<LI>the <TT>egamma</TT> algorithm, which reconstructs hard electrons.<br />
</UL><br />
Since electrons from single top decays are highly energetic, in my analysis I will consider <TT>egamma</TT> electrons only. There are also two methods to discriminate between electrons and pions/photons in the candidate list:<br />
<UL><LI>the <TT>isEM</TT> flag, which is a 16-bit word where each bit represents the result of a discriminating algorithm. The candidate is an electron if <TT>isEM = 0</TT>.<br />
<LI>the &quot;weight&quot; which assigns to the candidate a probability of being an electron or a pion/photon. The candidate is an electron if <DIV ALIGN=center><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR VALIGN=middle><TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center><I>W<FONT SIZE=2><SUB>e</SUB></FONT></I></TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><I>W<FONT SIZE=2><SUB>e</SUB></FONT></I>+<I>W</I><FONT SIZE=2><SUB>p</SUB></FONT></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP>&gt;0.6</TD><br />
</TR></TABLE></DIV><br />
</UL><br />
Finally, the single top analysis requires isolated electrons. To define isolation, the total transverse energy deposed in a 0.2 cone around the electron needs to be lower than 10&nbsp;GeV. This definition matches the isolation cut defined in ATLFAST (see Section&nbsp;??).<BR><br />
<BR><br />
I performed an analysis to investigate which one of the two discriminating methods gives the best results for identifying electrons. First of all I searched for the true electron from the <I>W</I> decay in the MC truth. Then, I ordered the reconstructed electrons by descending <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I>. I obtained two lists, one for each selection method. From each list I considered only the highest <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I> electron. Then I analysed the <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I> spectra, the efficiency of the two methods, and the angular resolution w.r.t. the MC truth.<BR><br />
<BR><br />
<!--TOC subsubsection <I>p</I><SUB><FONT SIZE=2><I>T</I></FONT></SUB> Spectrum--><br />
<br />
<H4><I>p<FONT SIZE=2><SUB>T</SUB></FONT></I> Spectrum</H4><!--SEC END --><br />
<br />
<BLOCKQUOTE><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV><DIV ALIGN=center> [[Image:Ele_pt.gif]]<br />
</DIV><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV></BLOCKQUOTE><br />
The plot shows the Pt spectrum of the MC electrons (black), the isEM electrons (red) and the Likelihhod electrons (blue). Nothing wrong in the spectrum, but it is obvious that the Likelihood choice gives higher efficiency,and a few fakes.<BR><br />
<BR><br />
<!--TOC subsubsection Efficiency--><br />
<br />
<H4>Efficiency</H4><!--SEC END --><br />
<br />
By defining efficiency as the probability of finding exatcly one electron above a 20 GeV threshold, efficiency for isEM is 70.7<br />
<BLOCKQUOTE><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV><DIV ALIGN=center> [[Image:Ele_eff.gif]]<br />
<BR><br />
<DIV ALIGN=center>Figure 6.1: Efficiency w.r.t. Pseudorapidity for the two choices. The cracks in the intermediate region are clearly visible.</DIV><BR><br />
<br />
</DIV><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV></BLOCKQUOTE><br />
<!--TOC subsubsection <I>p</I><SUB><FONT SIZE=2><I>T</I></FONT></SUB> Resolution--><br />
<br />
<H4><I>p<FONT SIZE=2><SUB>T</SUB></FONT></I> Resolution</H4><!--SEC END --><br />
<br />
Ratio between the Pt of reconstructed electron and the true electron.<br />
Percentage of events with ratio inside (20%, 40%, 60%) for isEM:<br />
96.1% -- 98.2% -- 99.1%<br />
Percentage of events with ratio inside (20%, 40%, 60%) for Likelihood:<br />
91.6% -- 94.7% -- 96.2%<br />
<BLOCKQUOTE><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV><DIV ALIGN=center> [[Image:Ele_dpt.gif]]<br />
<BR><br />
<DIV ALIGN=center>Figure 6.2: </DIV><BR><br />
<br />
</DIV><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV></BLOCKQUOTE><br />
<!--TOC subsubsection Angular Resolution--><br />
<br />
<H4>Angular Resolution</H4><!--SEC END --><br />
<br />
I plot the angular distance between the true electron and the highest Pt electron candidate.<br />
<BLOCKQUOTE><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV><DIV ALIGN=center> [[Image:Ele_dr.gif]]<br />
<BR><br />
<DIV ALIGN=center>Figure 6.3: </DIV><BR><br />
<br />
</DIV><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV></BLOCKQUOTE><br />
<!--TOC subsubsection Fake Rate--><br />
<br />
<H4>Fake Rate</H4><!--SEC END --><br />
<br />
If there are no hard electrons in the MC truth, I count the reconstructed electrons as fakes. The ratio of fakes that go over a 20 GeV threshold is 0.3% for isEM and 1.6% for Likelihood.<br />
<BLOCKQUOTE><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV><DIV ALIGN=center> [[Image:Ele_thr.gif]]<br />
<BR><br />
<DIV ALIGN=center>Figure 6.4: </DIV><BR><br />
<br />
</DIV><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV></BLOCKQUOTE><br />
<!--TOC subsubsection Charge--><br />
<br />
<H4>Charge</H4><!--SEC END --><br />
<br />
In this plot I compare the charge of the MC electron with the charge of the reconstructed electron with the highest pt. The bin labelled "1" identifies a correct cha<br />
rge match, while "-1" identifies a charge mismatch. The mismatch rate for isEM is 0.8% while for Likelihood is 3.5%<br />
<BLOCKQUOTE><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV><DIV ALIGN=center> [[Image:Chg.gif]]<br />
<BR><br />
<DIV ALIGN=center>Figure 6.5: </DIV><BR><br />
<br />
</DIV><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV></BLOCKQUOTE><br />
<!--TOC subsubsection Conclusions--><br />
<br />
<H4>Conclusions</H4><!--SEC END --><br />
<br />
Overall, isEM offers a slightly better performance in term of angular resolution, momentum resolution and charge identification. However, this is offset by the high efficiency of the Likelihood.<br />
If precision measurements are necessary, the isEM method is preferrable (though lets not forget it is currently buggy, and its performance could improve in future SW releases).<br />
If the analysis is performed on a small sample, and reconstruction efficiency has to be maximized, the Likelihood method is a better choice.<BR><br />
<BR><br />
<!--TOC section Selection cuts--><br />
<br />
<H2>6.2&nbsp;&nbsp;Selection cuts</H2><!--SEC END --><br />
<br />
<br />
Cut efficiency studies in the past have been performed with old montecarlo generator.<br />
As first check, the efficiency is now lower (50%). Need a better study of cut efficiecies.<br />
<UL><LI>isolated lepton cut: trigger efficiency, cut efficiency<br />
<LI>b-tagging: why do we use single instead of double b-tag (collinear b)<br />
<LI>forward light jet: discriminant against Wjj backgrounds<br />
<LI>no cut on missing Et. Need to insert one?<br />
</UL><br />
Here put a graph of the selection cuts with the efficiencies.<br />
<UL><LI>Isolated lepton distributions <br />
<LI>Jet distribution<br />
<LI>Total invariant mass<br />
<LI>Other?<br />
</UL><br />
<!--TOC section Kinematic fit to the W mass--><br />
<br />
<H2>6.3&nbsp;&nbsp;Kinematic fit to the W mass</H2><!--SEC END --><br />
<br />
<UL><LI>W mass measured with good resolution<br />
<LI>W mass can be used for calibration purposes (ttbar, usually)<br />
<LI>Quadratic function: two results. Good need handle on missing Et<br />
</UL><br />
<!--TOC section Combinatorics and Top selection--><br />
<br />
<H2>6.4&nbsp;&nbsp;Combinatorics and Top selection</H2><!--SEC END --><br />
<br />
There are almost no combinatorics, however there is a double ambiguity. A few methods to solve it:<BR><br />
<BR><br />
<!--TOC subsection Target mass--><br />
<br />
<H3>6.4.1&nbsp;&nbsp;Target mass</H3><!--SEC END --><br />
<br />
Retain the solution with mass closest to 175. It biases the event.<BR><br />
<BR><br />
<!--TOC subsection Reverse boost--><br />
<br />
<H3>6.4.2&nbsp;&nbsp;Reverse boost</H3><!--SEC END --><br />
<br />
Boost all the decay particles back to the top frame and select the couple close to the back-to-back configuration. It does not work very well (jet scale might be a problem).<BR><br />
<BR><br />
<!--TOC subsection Highest Pt--><br />
<br />
<H3>6.4.3&nbsp;&nbsp;Highest Pt</H3><!--SEC END --><br />
<br />
Select the top with the highest pt. Works well, but the physics of it escapes me.<BR><br />
<BR><br />
<br />
[[Image:Bkg+sig.gif]]<br />
<br />
[[Image:Bkg+sig04.gif]]<br />
<br />
<!--TOC section Systematics--><br />
<br />
<H2>6.5&nbsp;&nbsp;Systematics</H2><!--SEC END --><br />
<br />
<!--TOC subsection Minimum bias--><br />
<br />
<H3>6.5.1&nbsp;&nbsp;Minimum bias</H3><!--SEC END --><br />
<br />
Minimum bias events are events where the colliding protons undergo a soft elastic collisions or a soft parton collision (diffractive events). Occasionally, a soft parton collision might &quot;fluctuate&quot; to result in an event with high enough <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I> to be measured by the detector.<BR><br />
<BR><br />
Underlying events are defined as the sum of all types of events (beam remnants, ISR, secondary parton collisions) which happen at the same time of hard inelastic parton scattering. In the first approssimation, underlying events and minimum bias events are assumed to be governed by the same physical model. However, there can be significant differences, since color interactions between the hard scattering and the underlying events might occur, modifying the spectra of the two classes of events.<br />
At the detector level, underlying events generate extra tracks in the detector and deposit energy in the calorimeter, thus degrading the measurement of the hard scattering. Several studies have been performed to evaluate the effect of underlying events by modelling minimum bias in Montecarlo generators and using the same model to generate underlying events.<BR><br />
<BR><br />
In PYTHIA, the model of minimum bias is the following: the number of underlying events is given by the ration between the cross section for &quot;hard&quot; minimum bias events divided by the cross-section of total, inelastic non-diffractive soft events: <FONT >s</FONT><FONT SIZE=2><I><SUB>hard</SUB></I></FONT>(<I>p</I><FONT SIZE=2><SUB><FONT >^</FONT> <I>min</I></SUB></FONT>)/<FONT >s</FONT><FONT SIZE=2><I><SUB>nd</SUB></I></FONT>(<I>s</I>). While <I>p</I><FONT SIZE=2><SUB><FONT >^</FONT> <I>min</I></SUB></FONT> in principle should be zero, in practise a cut off must be included to prevent the aforementioned ratio to diverge. The minimum momentum applicable is calculated at run-time by PYHTIA with the following formula: <DIV ALIGN=center><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR VALIGN=middle><TD NOWRAP><I>p</I><FONT SIZE=2><SUB><FONT >^</FONT> <I>min</I></SUB></FONT>(<I>s</I>)=<FONT >p</FONT><FONT SIZE=2><SUB>82</SUB></FONT></TD><br />
<TD NOWRAP><FONT ><br />
/<BR><br />
|<BR><br />
|<BR><br />
\ </FONT></TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center><I>E<FONT SIZE=2><SUB>cm</SUB></FONT></I></TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><FONT >p</FONT><FONT SIZE=2><SUB>89</SUB></FONT></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP><FONT ><br />
\ <BR><br />
|<BR><br />
|<BR><br />
/</FONT></TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD ALIGN=left NOWRAP><FONT SIZE=2><FONT >p</FONT><SUB>90</SUB></FONT></TD><br />
</TR><br />
<TR><TD ALIGN=left><BR><br />
<BR><br />
<BR><br />
</TD><br />
</TR><br />
<TR><TD ALIGN=left NOWRAP>&nbsp;</TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP>,</TD><br />
</TR></TABLE></DIV> where the parameters <FONT >p</FONT><FONT SIZE=2><I><SUB>i</SUB></I></FONT> are defined in pythia by PARP(I). The physical meaning of this formula is that when the exchanged momentum between the scattering parton is low, the exchanged gluon cannot resolve the individual colour of the partons, reducing the coupling constant. This screening effect limits the cross-section at low momenta.<BR><br />
<BR><br />
The effect of the impact parameter on the minimum bias collision is parametrized by a double-gaussian parton density: <DIV ALIGN=center><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR VALIGN=middle><TD NOWRAP><FONT >r</FONT>(<I>r</I>)<FONT >&mu;</FONT></TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center>1-<FONT >b</FONT></TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><I>a</I><FONT SIZE=2><SUB>1</SUB><SUP>3</SUP></FONT></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP>exp</TD><br />
<TD NOWRAP><FONT ><br />
/<BR><br />
|<BR><br />
|<BR><br />
\ </FONT></TD><br />
<TD NOWRAP>-</TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center><I>r</I><FONT SIZE=2><SUP>2</SUP></FONT></TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><I>a</I><FONT SIZE=2><SUB>1</SUB><SUP>2</SUP></FONT></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP><FONT ><br />
\ <BR><br />
|<BR><br />
|<BR><br />
/</FONT></TD><br />
<TD NOWRAP>+</TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center><FONT >b</FONT></TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><I>a</I><FONT SIZE=2><SUB>2</SUB><SUP>3</SUP></FONT></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP>exp</TD><br />
<TD NOWRAP><FONT ><br />
/<BR><br />
|<BR><br />
|<BR><br />
\ </FONT></TD><br />
<TD NOWRAP>-</TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center><I>r</I><FONT SIZE=2><SUP>2</SUP></FONT></TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><I>a</I><FONT SIZE=2><SUB>2</SUB><SUP>2</SUP></FONT></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP><FONT ><br />
\ <BR><br />
|<BR><br />
|<BR><br />
/</FONT></TD><br />
<TD NOWRAP>,</TD><br />
</TR></TABLE></DIV> which describes a parton model when a fraction <FONT >b</FONT> of the hadronic matter is contained inside a &quot;core&quot; the radius of which is <I>a</I><FONT SIZE=2><SUB>2</SUB></FONT>/<I>a</I><FONT SIZE=2><SUB>1</SUB></FONT> of the proton radius. This model correctly describes the multiplicity of minimum bias events: harder collisions result in smaller impact parameter, which probes high density regions where minimum bias events are more likely to happen.<BR><br />
<BR><br />
Minum bias was studied at CDF by Rick Field <EM>et al.</EM> to obtain a PYTHIA tuning capable do describe data. The method utilised at CDF is the following: minimum bias data is generated by PYTHIA by selecting MSEL=1 (QCD high- and low-pt events). For each event, jets are reconstructed with a cone of radius 0.7; the phi space is divided into four regions, using the jet with the highest pt in the event as a reference axis. Two of the zones are labelled as &quot;transverse&quot;, and cover a region from 60 to 120 away from the jet axis. All charged particles included in these two regions are examined, event by event: the scalar pt sum of particles surviving the cut |<FONT >h</FONT>|&lt;1, <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I>&gt;0.5&nbsp;GeV is computed, and plotted against the pt of the leading jet. A similar technique can be used by examining jets instead of individual particle, but CDF used charged tracks because of the better resolution of the tracker w.r.t. the calorimeter.<BR><br />
<BR><br />
If we separate the two transverse zones in a region of low energy deposition and a region of high energy deposition and we plot separately the scalar pt sum, we obtain two separate diagrams, where the amount of high energy deposition is correlated with the &quot;hard&quot; fraction of minimum bias, while the low energy plot is correlatedwith the &quot;soft&quot; and collinear scatterings. The PYTHIA parameters were tuned to make these two plots reproduce the same plot drawn for CDF minimum bias data.<BR><br />
<BR><br />
The parametrisation obtained by Field is the following:<br />
<UL><LI>PARP(82)=2.0 regularization scale of the minimum pt in the hard scattering (D=2.1);<br />
<LI>PARP(83)=0.5 fraction of hadronic matter inside the &quot;core&quot; (D=0.5);<br />
<LI>PARP(84)=0.4 ratio between the &quot;core&quot; radius and the proton radius (D=0.2);<br />
<LI>PARP(85)=0.9 probability of having an extra interaction giving two gluons (D=0.33);<br />
<LI>PARP(86)=0.95 probabilty of having an extra interaction giving two gluons or a closed gluon loop (D=0.66);<br />
<LI>PARP(89)=1800 regularization energy of the minimum pt --- 1.8&nbsp;TeV (D=1000.);<br />
<LI>PARP(90)=0.25 exponent of the regularization function (D=0.16);<br />
<LI>PARP(67)=4.0 maximum virtuality (4× <I>Q</I><FONT SIZE=2><SUP>2</SUP></FONT>) for spacelike parton showers (D=1.);<br />
</UL><br />
The main effect of the above tuning is to increase the core size, thus reducing the parton density and thus decrease the multiplicity, and to increase initial state showers. No plot this time, I screwed up badly.<BR><br />
<BR><br />
The parametrization used at DC2, instead, is very simple:<br />
<UL><LI>MSTJ(11)=3 fragmentation scheme: use Peterson fragmentation function <DIV ALIGN=center><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR VALIGN=middle><TD NOWRAP><I>f</I>(<I>z</I>)=</TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center>1</TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR VALIGN=middle><TD NOWRAP><I>z</I></TD><br />
<TD NOWRAP><FONT ><br />
/<BR><br />
|<BR><br />
|<BR><br />
\ </FONT></TD><br />
<TD NOWRAP>1-</TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center>1</TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><I>z</I></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP>-</TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center>(-<I>c</I>)</TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center>1-<I>z</I></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP><FONT ><br />
\ <BR><br />
|<BR><br />
|<BR><br />
/</FONT></TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD ALIGN=left NOWRAP><FONT SIZE=2>2</FONT></TD><br />
</TR><br />
<TR><TD ALIGN=left><BR><br />
<BR><br />
<BR><br />
</TD><br />
</TR><br />
<TR><TD ALIGN=left NOWRAP>&nbsp;</TD><br />
</TR></TABLE></TD><br />
</TR></TABLE></TD><br />
</TR></TABLE></TD><br />
</TR></TABLE></DIV> for b- and c-quarks;<br />
<LI>MSTJ(22)=2 decay cutoff: decay particles only if <I>c</I><FONT >t</FONT>&gt;10&nbsp;mm;<br />
<LI>PARJ(54)=-0.07 <I>c</I> factor in the Peterson function for c-quarks (D=-0.05);<br />
<LI>PARJ(55)=-0.006 <I>c</I> factor in the Peterson function for b-quarks (D=-0.005);<br />
<LI>PARP(82)=1.8 regularization scale of the minimum pt in the hard scattering (D=2.1);<br />
<LI>PARP(84)=0.5 ratio between the &quot;core&quot; radius and the proton radius (D=0.2);<br />
</UL><br />
UPDATE: the Field parametrization is now default in PYTHIA. DOH!<BR><br />
<BR><br />
<!--TOC subsection Multiple interactions--><br />
<br />
<H3>6.5.2&nbsp;&nbsp;Multiple interactions</H3><!--SEC END --><br />
<br />
Using the Pileup sample instead of the normal one.<BR><br />
<BR><br />
<!--TOC subsection Missing Et--><br />
<br />
<H3>6.5.3&nbsp;&nbsp;Missing Et</H3><!--SEC END --><br />
<br />
<!--TOC subsection Jet energy scale--><br />
<br />
<H3>6.5.4&nbsp;&nbsp;Jet energy scale</H3><!--SEC END --><br />
<br />
<!--TOC subsection B-jet tagging--><br />
<br />
<H3>6.5.5&nbsp;&nbsp;B-jet tagging</H3><!--SEC END --></div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=Chapter_VI&diff=656Chapter VI2005-10-12T15:03:51Z<p>Barison: </p>
<hr />
<div>--[[User:Barison|Barison]] 14:38, 12 Oct 2005 (MET DST)<br />
<br />
<!--TOC chapter Analysis--><br />
<br />
<br />
<br />
<H1>Chapter&nbsp;6&nbsp;&nbsp;Analysis</H1><!--SEC END --><br />
<br />
<UL><LI>single top channels are little affected by combinatorics<br />
<LI>however ttbar and wjj backgrounds are dominant<br />
<LI>need to find good trade-off between selection efficiency and background rejection<br />
</UL><br />
<!--TOC section AOD Definitions--><br />
<br />
<H2>6.1&nbsp;&nbsp;AOD Definitions</H2><!--SEC END --><br />
<br />
Insert work on: electron selection, bjet tagging<BR><br />
<BR><br />
<!--TOC subsection Electrons--><br />
<br />
<H3>6.1.1&nbsp;&nbsp;Electrons</H3><!--SEC END --><br />
<br />
In the AOD data file, two types of electron candidates are present, reconstructed with different algorithms:<br />
<UL><LI>the <TT>softe</TT> algorithm, which is optimised to reconstruct electron candidates with <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I>&lt; 10&nbsp;GeV;<br />
<LI>the <TT>egamma</TT> algorithm, which reconstructs hard electrons.<br />
</UL><br />
Since electrons from single top decays are highly energetic, in my analysis I will consider <TT>egamma</TT> electrons only. There are also two methods to discriminate between electrons and pions/photons in the candidate list:<br />
<UL><LI>the <TT>isEM</TT> flag, which is a 16-bit word where each bit represents the result of a discriminating algorithm. The candidate is an electron if <TT>isEM = 0</TT>.<br />
<LI>the &quot;weight&quot; which assigns to the candidate a probability of being an electron or a pion/photon. The candidate is an electron if <DIV ALIGN=center><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR VALIGN=middle><TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center><I>W<FONT SIZE=2><SUB>e</SUB></FONT></I></TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><I>W<FONT SIZE=2><SUB>e</SUB></FONT></I>+<I>W</I><FONT SIZE=2><SUB>p</SUB></FONT></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP>&gt;0.6</TD><br />
</TR></TABLE></DIV><br />
</UL><br />
Finally, the single top analysis requires isolated electrons. To define isolation, the total transverse energy deposed in a 0.2 cone around the electron needs to be lower than 10&nbsp;GeV. This definition matches the isolation cut defined in ATLFAST (see Section&nbsp;??).<BR><br />
<BR><br />
I performed an analysis to investigate which one of the two discriminating methods gives the best results for identifying electrons. First of all I searched for the true electron from the <I>W</I> decay in the MC truth. Then, I ordered the reconstructed electrons by descending <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I>. I obtained two lists, one for each selection method. From each list I considered only the highest <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I> electron. Then I analysed the <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I> spectra, the efficiency of the two methods, and the angular resolution w.r.t. the MC truth.<BR><br />
<BR><br />
<!--TOC subsubsection <I>p</I><SUB><FONT SIZE=2><I>T</I></FONT></SUB> Spectrum--><br />
<br />
<H4><I>p<FONT SIZE=2><SUB>T</SUB></FONT></I> Spectrum</H4><!--SEC END --><br />
<br />
<BLOCKQUOTE><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV><DIV ALIGN=center> [[Image:Ele_pt.gif]]<br />
</DIV><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV></BLOCKQUOTE><br />
The plot shows the Pt spectrum of the MC electrons (black), the isEM electrons (red) and the Likelihhod electrons (blue). Nothing wrong in the spectrum, but it is obvious that the Likelihood choice gives higher efficiency,and a few fakes.<BR><br />
<BR><br />
<!--TOC subsubsection Efficiency--><br />
<br />
<H4>Efficiency</H4><!--SEC END --><br />
<br />
By defining efficiency as the probability of finding exatcly one electron above a 20 GeV threshold, efficiency for isEM is 70.7<br />
<BLOCKQUOTE><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV><DIV ALIGN=center> [[Image:Ele_eff.gif]]<br />
<BR><br />
<DIV ALIGN=center>Figure 6.1: Efficiency w.r.t. Pseudorapidity for the two choices. The cracks in the intermediate region are clearly visible.</DIV><BR><br />
<br />
</DIV><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV></BLOCKQUOTE><br />
<!--TOC subsubsection <I>p</I><SUB><FONT SIZE=2><I>T</I></FONT></SUB> Resolution--><br />
<br />
<H4><I>p<FONT SIZE=2><SUB>T</SUB></FONT></I> Resolution</H4><!--SEC END --><br />
<br />
Ratio between the Pt of reconstructed electron and the true electron.<br />
Percentage of events with ratio inside (20%, 40%, 60%) for isEM:<br />
96.1% -- 98.2% -- 99.1%<br />
Percentage of events with ratio inside (20%, 40%, 60%) for Likelihood:<br />
91.6% -- 94.7% -- 96.2%<br />
<BLOCKQUOTE><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV><DIV ALIGN=center> [[Image:Ele_dpt.gif]]<br />
<BR><br />
<DIV ALIGN=center>Figure 6.2: </DIV><BR><br />
<br />
</DIV><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV></BLOCKQUOTE><br />
<!--TOC subsubsection Angular Resolution--><br />
<br />
<H4>Angular Resolution</H4><!--SEC END --><br />
<br />
I plot the angular distance between the true electron and the highest Pt electron candidate.<br />
<BLOCKQUOTE><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV><DIV ALIGN=center> [[Image:Ele_dr.gif]]<br />
<BR><br />
<DIV ALIGN=center>Figure 6.3: </DIV><BR><br />
<br />
</DIV><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV></BLOCKQUOTE><br />
<!--TOC subsubsection Fake Rate--><br />
<br />
<H4>Fake Rate</H4><!--SEC END --><br />
<br />
If there are no hard electrons in the MC truth, I count the reconstructed electrons as fakes. The ratio of fakes that go over a 20 GeV threshold is 0.3% for isEM and 1.6% for Likelihood.<br />
<BLOCKQUOTE><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV><DIV ALIGN=center> [[Image:Ele_thr.gif]]<br />
<BR><br />
<DIV ALIGN=center>Figure 6.4: </DIV><BR><br />
<br />
</DIV><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV></BLOCKQUOTE><br />
<!--TOC subsubsection Charge--><br />
<br />
<H4>Charge</H4><!--SEC END --><br />
<br />
In this plot I compare the charge of the MC electron with the charge of the reconstructed electron with the highest pt. The bin labelled "1" identifies a correct cha<br />
rge match, while "-1" identifies a charge mismatch. The mismatch rate for isEM is 0.8% while for Likelihood is 3.5%<br />
<BLOCKQUOTE><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV><DIV ALIGN=center> [[Image:Chg.gif]]<br />
<BR><br />
<DIV ALIGN=center>Figure 6.5: </DIV><BR><br />
<br />
</DIV><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV></BLOCKQUOTE><br />
<!--TOC subsubsection Conclusions--><br />
<br />
<H4>Conclusions</H4><!--SEC END --><br />
<br />
Overall, isEM offers a slightly better performance in term of angular resolution, momentum resolution and charge identification. However, this is offset by the high efficiency of the Likelihood.<br />
If precision measurements are necessary, the isEM method is preferrable (though lets not forget it is currently buggy, and its performance could improve in future SW releases).<br />
If the analysis is performed on a small sample, and reconstruction efficiency has to be maximized, the Likelihood method is a better choice.<BR><br />
<BR><br />
<!--TOC section Selection cuts--><br />
<br />
<H2>6.2&nbsp;&nbsp;Selection cuts</H2><!--SEC END --><br />
<br />
<br />
Cut efficiency studies in the past have been performed with old montecarlo generator.<br />
As first check, the efficiency is now lower (50%). Need a better study of cut efficiecies.<br />
<UL><LI>isolated lepton cut: trigger efficiency, cut efficiency<br />
<LI>b-tagging: why do we use single instead of double b-tag (collinear b)<br />
<LI>forward light jet: discriminant against Wjj backgrounds<br />
<LI>no cut on missing Et. Need to insert one?<br />
</UL><br />
Here put a graph of the selection cuts with the efficiencies.<br />
<UL><LI>Isolated lepton distributions <br />
<LI>Jet distribution<br />
<LI>Total invariant mass<br />
<LI>Other?<br />
</UL><br />
<!--TOC section Kinematic fit to the W mass--><br />
<br />
<H2>6.3&nbsp;&nbsp;Kinematic fit to the W mass</H2><!--SEC END --><br />
<br />
<UL><LI>W mass measured with good resolution<br />
<LI>W mass can be used for calibration purposes (ttbar, usually)<br />
<LI>Quadratic function: two results. Good need handle on missing Et<br />
</UL><br />
<!--TOC section Combinatorics and Top selection--><br />
<br />
<H2>6.4&nbsp;&nbsp;Combinatorics and Top selection</H2><!--SEC END --><br />
<br />
There are almost no combinatorics, however there is a double ambiguity. A few methods to solve it:<BR><br />
<BR><br />
<!--TOC subsection Target mass--><br />
<br />
<H3>6.4.1&nbsp;&nbsp;Target mass</H3><!--SEC END --><br />
<br />
Retain the solution with mass closest to 175. It biases the event.<BR><br />
<BR><br />
<!--TOC subsection Reverse boost--><br />
<br />
<H3>6.4.2&nbsp;&nbsp;Reverse boost</H3><!--SEC END --><br />
<br />
Boost all the decay particles back to the top frame and select the couple close to the back-to-back configuration. It does not work very well (jet scale might be a problem).<BR><br />
<BR><br />
<!--TOC subsection Highest Pt--><br />
<br />
<H3>6.4.3&nbsp;&nbsp;Highest Pt</H3><!--SEC END --><br />
<br />
Select the top with the highest pt. Works well, but the physics of it escapes me.<BR><br />
<BR><br />
<br />
[[Image:Bkg+sig.gif]]<br />
<br />
[[Image:Bkg+sig04.gif]]<br />
<br />
<!--TOC section Systematics--><br />
<br />
<H2>6.5&nbsp;&nbsp;Systematics</H2><!--SEC END --><br />
<br />
<!--TOC subsection Minimum bias--><br />
<br />
<H3>6.5.1&nbsp;&nbsp;Minimum bias</H3><!--SEC END --><br />
<br />
Minimum bias events are events where the colliding protons undergo a soft elastic collisions or a soft parton collision (diffractive events). Occasionally, a soft parton collision might &quot;fluctuate&quot; to result in an event with high enough <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I> to be measured by the detector.<BR><br />
<BR><br />
Underlying events are defined as the sum of all types of events (beam remnants, ISR, secondary parton collisions) which happen at the same time of hard inelastic parton scattering. In the first approssimation, underlying events and minimum bias events are assumed to be governed by the same physical model. However, there can be significant differences, since color interactions between the hard scattering and the underlying events might occur, modifying the spectra of the two classes of events.<br />
At the detector level, underlying events generate extra tracks in the detector and deposit energy in the calorimeter, thus degrading the measurement of the hard scattering. Several studies have been performed to evaluate the effect of underlying events by modelling minimum bias in Montecarlo generators and using the same model to generate underlying events.<BR><br />
<BR><br />
In PYTHIA, the model of minimum bias is the following: the number of underlying events is given by the ration between the cross section for &quot;hard&quot; minimum bias events divided by the cross-section of total, inelastic non-diffractive soft events: <FONT >s</FONT><FONT SIZE=2><I><SUB>hard</SUB></I></FONT>(<I>p</I><FONT SIZE=2><SUB><FONT >^</FONT> <I>min</I></SUB></FONT>)/<FONT >s</FONT><FONT SIZE=2><I><SUB>nd</SUB></I></FONT>(<I>s</I>). While <I>p</I><FONT SIZE=2><SUB><FONT >^</FONT> <I>min</I></SUB></FONT> in principle should be zero, in practise a cut off must be included to prevent the aforementioned ratio to diverge. The minimum momentum applicable is calculated at run-time by PYHTIA with the following formula: <DIV ALIGN=center><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR VALIGN=middle><TD NOWRAP><I>p</I><FONT SIZE=2><SUB><FONT >^</FONT> <I>min</I></SUB></FONT>(<I>s</I>)=<FONT >p</FONT><FONT SIZE=2><SUB>82</SUB></FONT></TD><br />
<TD NOWRAP><FONT ><br />
/<BR><br />
|<BR><br />
|<BR><br />
\ </FONT></TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center><I>E<FONT SIZE=2><SUB>cm</SUB></FONT></I></TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><FONT >p</FONT><FONT SIZE=2><SUB>89</SUB></FONT></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP><FONT ><br />
\ <BR><br />
|<BR><br />
|<BR><br />
/</FONT></TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD ALIGN=left NOWRAP><FONT SIZE=2><FONT >p</FONT><SUB>90</SUB></FONT></TD><br />
</TR><br />
<TR><TD ALIGN=left><BR><br />
<BR><br />
<BR><br />
</TD><br />
</TR><br />
<TR><TD ALIGN=left NOWRAP>&nbsp;</TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP>,</TD><br />
</TR></TABLE></DIV> where the parameters <FONT >p</FONT><FONT SIZE=2><I><SUB>i</SUB></I></FONT> are defined in pythia by PARP(I). The physical meaning of this formula is that when the exchanged momentum between the scattering parton is low, the exchanged gluon cannot resolve the individual colour of the partons, reducing the coupling constant. This screening effect limits the cross-section at low momenta.<BR><br />
<BR><br />
The effect of the impact parameter on the minimum bias collision is parametrized by a double-gaussian parton density: <DIV ALIGN=center><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR VALIGN=middle><TD NOWRAP><FONT >r</FONT>(<I>r</I>)<FONT >&mu;</FONT></TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center>1-<FONT >b</FONT></TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><I>a</I><FONT SIZE=2><SUB>1</SUB><SUP>3</SUP></FONT></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP>exp</TD><br />
<TD NOWRAP><FONT ><br />
/<BR><br />
|<BR><br />
|<BR><br />
\ </FONT></TD><br />
<TD NOWRAP>-</TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center><I>r</I><FONT SIZE=2><SUP>2</SUP></FONT></TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><I>a</I><FONT SIZE=2><SUB>1</SUB><SUP>2</SUP></FONT></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP><FONT ><br />
\ <BR><br />
|<BR><br />
|<BR><br />
/</FONT></TD><br />
<TD NOWRAP>+</TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center><FONT >b</FONT></TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><I>a</I><FONT SIZE=2><SUB>2</SUB><SUP>3</SUP></FONT></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP>exp</TD><br />
<TD NOWRAP><FONT ><br />
/<BR><br />
|<BR><br />
|<BR><br />
\ </FONT></TD><br />
<TD NOWRAP>-</TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center><I>r</I><FONT SIZE=2><SUP>2</SUP></FONT></TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><I>a</I><FONT SIZE=2><SUB>2</SUB><SUP>2</SUP></FONT></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP><FONT ><br />
\ <BR><br />
|<BR><br />
|<BR><br />
/</FONT></TD><br />
<TD NOWRAP>,</TD><br />
</TR></TABLE></DIV> which describes a parton model when a fraction <FONT >b</FONT> of the hadronic matter is contained inside a &quot;core&quot; the radius of which is <I>a</I><FONT SIZE=2><SUB>2</SUB></FONT>/<I>a</I><FONT SIZE=2><SUB>1</SUB></FONT> of the proton radius. This model correctly describes the multiplicity of minimum bias events: harder collisions result in smaller impact parameter, which probes high density regions where minimum bias events are more likely to happen.<BR><br />
<BR><br />
Minum bias was studied at CDF by Rick Field <EM>et al.</EM> to obtain a PYTHIA tuning capable do describe data. The method utilised at CDF is the following: minimum bias data is generated by PYTHIA by selecting MSEL=1 (QCD high- and low-pt events). For each event, jets are reconstructed with a cone of radius 0.7; the phi space is divided into four regions, using the jet with the highest pt in the event as a reference axis. Two of the zones are labelled as &quot;transverse&quot;, and cover a region from 60 to 120 away from the jet axis. All charged particles included in these two regions are examined, event by event: the scalar pt sum of particles surviving the cut |<FONT >h</FONT>|&lt;1, <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I>&gt;0.5&nbsp;GeV is computed, and plotted against the pt of the leading jet. A similar technique can be used by examining jets instead of individual particle, but CDF used charged tracks because of the better resolution of the tracker w.r.t. the calorimeter.<BR><br />
<BR><br />
If we separate the two transverse zones in a region of low energy deposition and a region of high energy deposition and we plot separately the scalar pt sum, we obtain two separate diagrams, where the amount of high energy deposition is correlated with the &quot;hard&quot; fraction of minimum bias, while the low energy plot is correlatedwith the &quot;soft&quot; and collinear scatterings. The PYTHIA parameters were tuned to make these two plots reproduce the same plot drawn for CDF minimum bias data.<BR><br />
<BR><br />
The parametrisation obtained by Field is the following:<br />
<UL><LI>PARP(82)=2.0 regularization scale of the minimum pt in the hard scattering (D=2.1);<br />
<LI>PARP(83)=0.5 fraction of hadronic matter inside the &quot;core&quot; (D=0.5);<br />
<LI>PARP(84)=0.4 ratio between the &quot;core&quot; radius and the proton radius (D=0.2);<br />
<LI>PARP(85)=0.9 probability of having an extra interaction giving two gluons (D=0.33);<br />
<LI>PARP(86)=0.95 probabilty of having an extra interaction giving two gluons or a closed gluon loop (D=0.66);<br />
<LI>PARP(89)=1800 regularization energy of the minimum pt --- 1.8&nbsp;TeV (D=1000.);<br />
<LI>PARP(90)=0.25 exponent of the regularization function (D=0.16);<br />
<LI>PARP(67)=4.0 maximum virtuality (4× <I>Q</I><FONT SIZE=2><SUP>2</SUP></FONT>) for spacelike parton showers (D=1.);<br />
</UL><br />
The main effect of the above tuning is to increase the core size, thus reducing the parton density and thus decrease the multiplicity, and to increase initial state showers. No plot this time, I screwed up badly.<BR><br />
<BR><br />
The parametrization used at DC2, instead, is very simple:<br />
<UL><LI>MSTJ(11)=3 fragmentation scheme: use Peterson fragmentation function <DIV ALIGN=center><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR VALIGN=middle><TD NOWRAP><I>f</I>(<I>z</I>)=</TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center>1</TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR VALIGN=middle><TD NOWRAP><I>z</I></TD><br />
<TD NOWRAP><FONT ><br />
/<BR><br />
|<BR><br />
|<BR><br />
\ </FONT></TD><br />
<TD NOWRAP>1-</TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center>1</TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><I>z</I></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP>-</TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center>(-<I>c</I>)</TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center>1-<I>z</I></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP><FONT ><br />
\ <BR><br />
|<BR><br />
|<BR><br />
/</FONT></TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD ALIGN=left NOWRAP><FONT SIZE=2>2</FONT></TD><br />
</TR><br />
<TR><TD ALIGN=left><BR><br />
<BR><br />
<BR><br />
</TD><br />
</TR><br />
<TR><TD ALIGN=left NOWRAP>&nbsp;</TD><br />
</TR></TABLE></TD><br />
</TR></TABLE></TD><br />
</TR></TABLE></TD><br />
</TR></TABLE></DIV> for b- and c-quarks;<br />
<LI>MSTJ(22)=2 decay cutoff: decay particles only if <I>c</I><FONT >t</FONT>&gt;10&nbsp;mm;<br />
<LI>PARJ(54)=-0.07 <I>c</I> factor in the Peterson function for c-quarks (D=-0.05);<br />
<LI>PARJ(55)=-0.006 <I>c</I> factor in the Peterson function for b-quarks (D=-0.005);<br />
<LI>PARP(82)=1.8 regularization scale of the minimum pt in the hard scattering (D=2.1);<br />
<LI>PARP(84)=0.5 ratio between the &quot;core&quot; radius and the proton radius (D=0.2);<br />
</UL><br />
UPDATE: the Field parametrization is now default in PYTHIA. DOH!<BR><br />
<BR><br />
<!--TOC subsection Multiple interactions--><br />
<br />
<H3>6.5.2&nbsp;&nbsp;Multiple interactions</H3><!--SEC END --><br />
<br />
Using the Pileup sample instead of the normal one.<BR><br />
<BR><br />
<!--TOC subsection Missing Et--><br />
<br />
<H3>6.5.3&nbsp;&nbsp;Missing Et</H3><!--SEC END --><br />
<br />
<!--TOC subsection Jet energy scale--><br />
<br />
<H3>6.5.4&nbsp;&nbsp;Jet energy scale</H3><!--SEC END --><br />
<br />
<!--TOC subsection B-jet tagging--><br />
<br />
<H3>6.5.5&nbsp;&nbsp;B-jet tagging</H3><!--SEC END --></div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=Chapter_VI&diff=655Chapter VI2005-10-12T14:01:54Z<p>Barison: </p>
<hr />
<div>--[[User:Barison|Barison]] 14:38, 12 Oct 2005 (MET DST)<br />
<br />
<!--TOC chapter Analysis--><br />
<br />
<br />
<br />
<H1>Chapter&nbsp;6&nbsp;&nbsp;Analysis</H1><!--SEC END --><br />
<br />
<UL><LI>single top channels are little affected by combinatorics<br />
<LI>however ttbar and wjj backgrounds are dominant<br />
<LI>need to find good trade-off between selection efficiency and background rejection<br />
</UL><br />
<!--TOC section AOD Definitions--><br />
<br />
<H2>6.1&nbsp;&nbsp;AOD Definitions</H2><!--SEC END --><br />
<br />
Insert work on: electron selection, bjet tagging<BR><br />
<BR><br />
<!--TOC subsection Electrons--><br />
<br />
<H3>6.1.1&nbsp;&nbsp;Electrons</H3><!--SEC END --><br />
<br />
In the AOD data file, two types of electron candidates are present, reconstructed with different algorithms:<br />
<UL><LI>the <TT>softe</TT> algorithm, which is optimised to reconstruct electron candidates with <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I>&lt; 10&nbsp;GeV;<br />
<LI>the <TT>egamma</TT> algorithm, which reconstructs hard electrons.<br />
</UL><br />
Since electrons from single top decays are highly energetic, in my analysis I will consider <TT>egamma</TT> electrons only. There are also two methods to discriminate between electrons and pions/photons in the candidate list:<br />
<UL><LI>the <TT>isEM</TT> flag, which is a 16-bit word where each bit represents the result of a discriminating algorithm. The candidate is an electron if <TT>isEM = 0</TT>.<br />
<LI>the &quot;weight&quot; which assigns to the candidate a probability of being an electron or a pion/photon. The candidate is an electron if <DIV ALIGN=center><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR VALIGN=middle><TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center><I>W<FONT SIZE=2><SUB>e</SUB></FONT></I></TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><I>W<FONT SIZE=2><SUB>e</SUB></FONT></I>+<I>W</I><FONT SIZE=2><SUB>p</SUB></FONT></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP>&gt;0.6</TD><br />
</TR></TABLE></DIV><br />
</UL><br />
Finally, the single top analysis requires isolated electrons. To define isolation, the total transverse energy deposed in a 0.2 cone around the electron needs to be lower than 10&nbsp;GeV. This definition matches the isolation cut defined in ATLFAST (see Section&nbsp;??).<BR><br />
<BR><br />
I performed an analysis to investigate which one of the two discriminating methods gives the best results for identifying electrons. First of all I searched for the true electron from the <I>W</I> decay in the MC truth. Then, I ordered the reconstructed electrons by descending <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I>. I obtained two lists, one for each selection method. From each list I considered only the highest <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I> electron. Then I analysed the <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I> spectra, the efficiency of the two methods, and the angular resolution w.r.t. the MC truth.<BR><br />
<BR><br />
<!--TOC subsubsection <I>p</I><SUB><FONT SIZE=2><I>T</I></FONT></SUB> Spectrum--><br />
<br />
<H4><I>p<FONT SIZE=2><SUB>T</SUB></FONT></I> Spectrum</H4><!--SEC END --><br />
<br />
<BLOCKQUOTE><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV><DIV ALIGN=center> [[Image:Ele_pt.gif]]<br />
</DIV><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV></BLOCKQUOTE><br />
The plot shows the Pt spectrum of the MC electrons (black), the isEM electrons (red) and the Likelihhod electrons (blue). Nothing wrong in the spectrum, but it is obvious that the Likelihood choice gives higher efficiency,and a few fakes.<BR><br />
<BR><br />
<!--TOC subsubsection Efficiency--><br />
<br />
<H4>Efficiency</H4><!--SEC END --><br />
<br />
By defining efficiency as the probability of finding exatcly one electron above a 20 GeV threshold, efficiency for isEM is 70.7<br />
<BLOCKQUOTE><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV><DIV ALIGN=center> [[Image:Ele_eff.gif]]<br />
<BR><br />
<DIV ALIGN=center>Figure 6.1: Efficiency w.r.t. Pseudorapidity for the two choices. The cracks in the intermediate region are clearly visible.</DIV><BR><br />
<br />
</DIV><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV></BLOCKQUOTE><br />
<!--TOC subsubsection <I>p</I><SUB><FONT SIZE=2><I>T</I></FONT></SUB> Resolution--><br />
<br />
<H4><I>p<FONT SIZE=2><SUB>T</SUB></FONT></I> Resolution</H4><!--SEC END --><br />
<br />
Ratio between the Pt of reconstructed electron and the true electron.<br />
Percentage of events with ratio inside (20%, 40%, 60%) for isEM:<br />
96.1% -- 98.2% -- 99.1%<br />
Percentage of events with ratio inside (20%, 40%, 60%) for Likelihood:<br />
91.6% -- 94.7% -- 96.2%<br />
<BLOCKQUOTE><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV><DIV ALIGN=center> [[Image:Ele_dpt.gif]]<br />
<BR><br />
<DIV ALIGN=center>Figure 6.2: </DIV><BR><br />
<br />
</DIV><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV></BLOCKQUOTE><br />
<!--TOC subsubsection Angular Resolution--><br />
<br />
<H4>Angular Resolution</H4><!--SEC END --><br />
<br />
I plot the angular distance between the true electron and the highest Pt electron candidate.<br />
<BLOCKQUOTE><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV><DIV ALIGN=center> [[Image:Ele_dr.gif]]<br />
<BR><br />
<DIV ALIGN=center>Figure 6.3: </DIV><BR><br />
<br />
</DIV><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV></BLOCKQUOTE><br />
<!--TOC subsubsection Fake Rate--><br />
<br />
<H4>Fake Rate</H4><!--SEC END --><br />
<br />
If there are no hard electrons in the MC truth, I count the reconstructed electrons as fakes. The ratio of fakes that go over a 20 GeV threshold is 0.3% for isEM and 1.6% for Likelihood.<br />
<BLOCKQUOTE><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV><DIV ALIGN=center> [[Image:Ele_thr.gif]]<br />
<BR><br />
<DIV ALIGN=center>Figure 6.4: </DIV><BR><br />
<br />
</DIV><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV></BLOCKQUOTE><br />
<!--TOC subsubsection Charge--><br />
<br />
<H4>Charge</H4><!--SEC END --><br />
<br />
In this plot I compare the charge of the MC electron with the charge of the reconstructed electron with the highest pt. The bin labelled "1" identifies a correct cha<br />
rge match, while "-1" identifies a charge mismatch. The mismatch rate for isEM is 0.8% while for Likelihood is 3.5%<br />
<BLOCKQUOTE><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV><DIV ALIGN=center> [[Image:Chg.gif]]<br />
<BR><br />
<DIV ALIGN=center>Figure 6.5: </DIV><BR><br />
<br />
</DIV><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV></BLOCKQUOTE><br />
<!--TOC subsubsection Conclusions--><br />
<br />
<H4>Conclusions</H4><!--SEC END --><br />
<br />
Overall, isEM offers a slightly better performance in term of angular resolution, momentum resolution and charge identification. However, this is offset by the high efficiency of the Likelihood.<br />
If precision measurements are necessary, the isEM method is preferrable (though lets not forget it is currently buggy, and its performance could improve in future SW releases).<br />
If the analysis is performed on a small sample, and reconstruction efficiency has to be maximized, the Likelihood method is a better choice.<BR><br />
<BR><br />
<!--TOC section Selection cuts--><br />
<br />
<H2>6.2&nbsp;&nbsp;Selection cuts</H2><!--SEC END --><br />
<br />
<br />
Cut efficiency studies in the past have been performed with old montecarlo generator.<br />
As first check, the efficiency is now lower (50%). Need a better study of cut efficiecies.<br />
<UL><LI>isolated lepton cut: trigger efficiency, cut efficiency<br />
<LI>b-tagging: why do we use single instead of double b-tag (collinear b)<br />
<LI>forward light jet: discriminant against Wjj backgrounds<br />
<LI>no cut on missing Et. Need to insert one?<br />
</UL><br />
Here put a graph of the selection cuts with the efficiencies.<br />
<UL><LI>Isolated lepton distributions <br />
<LI>Jet distribution<br />
<LI>Total invariant mass<br />
<LI>Other?<br />
</UL><br />
<!--TOC section Kinematic fit to the W mass--><br />
<br />
<H2>6.3&nbsp;&nbsp;Kinematic fit to the W mass</H2><!--SEC END --><br />
<br />
<UL><LI>W mass measured with good resolution<br />
<LI>W mass can be used for calibration purposes (ttbar, usually)<br />
<LI>Quadratic function: two results. Good need handle on missing Et<br />
</UL><br />
<!--TOC section Combinatorics and Top selection--><br />
<br />
<H2>6.4&nbsp;&nbsp;Combinatorics and Top selection</H2><!--SEC END --><br />
<br />
There are almost no combinatorics, however there is a double ambiguity. A few methods to solve it:<BR><br />
<BR><br />
<!--TOC subsection Target mass--><br />
<br />
<H3>6.4.1&nbsp;&nbsp;Target mass</H3><!--SEC END --><br />
<br />
Retain the solution with mass closest to 175. It biases the event.<BR><br />
<BR><br />
<!--TOC subsection Reverse boost--><br />
<br />
<H3>6.4.2&nbsp;&nbsp;Reverse boost</H3><!--SEC END --><br />
<br />
Boost all the decay particles back to the top frame and select the couple close to the back-to-back configuration. It does not work very well (jet scale might be a problem).<BR><br />
<BR><br />
<!--TOC subsection Highest Pt--><br />
<br />
<H3>6.4.3&nbsp;&nbsp;Highest Pt</H3><!--SEC END --><br />
<br />
Select the top with the highest pt. Works well, but the physics of it escapes me.<BR><br />
<BR><br />
<br />
[[Image:Bkg+sig.gif]]<br />
<br />
[[Image:Bkg+sig04.gif]]<br />
<br />
<!--TOC section Systematics--><br />
<br />
<H2>6.5&nbsp;&nbsp;Systematics</H2><!--SEC END --><br />
<br />
<!--TOC subsection Minimum bias--><br />
<br />
<H3>6.5.1&nbsp;&nbsp;Minimum bias</H3><!--SEC END --><br />
<br />
Minimum bias events are events where the colliding protons undergo a soft elastic collisions or a soft parton collision (diffractive events). Occasionally, a soft parton collision might &quot;fluctuate&quot; to result in an event with high enough <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I> to be measured by the detector.<BR><br />
<BR><br />
Underlying events are defined as the sum of all types of events (beam remnants, ISR, secondary parton collisions) which happen at the same time of hard inelastic parton scattering. In the first approssimation, underlying events and minimum bias events are assumed to be governed by the same physical model. However, there can be significant differences, since color interactions between the hard scattering and the underlying events might occur, modifying the spectra of the two classes of events.<br />
At the detector level, underlying events generate extra tracks in the detector and deposit energy in the calorimeter, thus degrading the measurement of the hard scattering. Several studies have been performed to evaluate the effect of underlying events by modelling minimum bias in Montecarlo generators and using the same model to generate underlying events.<BR><br />
<BR><br />
In PYTHIA, the model of minimum bias is the following: the number of underlying events is given by the ration between the cross section for &quot;hard&quot; minimum bias events divided by the cross-section of total, inelastic non-diffractive soft events: <FONT >s</FONT><FONT SIZE=2><I><SUB>hard</SUB></I></FONT>(<I>p</I><FONT SIZE=2><SUB><FONT >^</FONT> <I>min</I></SUB></FONT>)/<FONT >s</FONT><FONT SIZE=2><I><SUB>nd</SUB></I></FONT>(<I>s</I>). While <I>p</I><FONT SIZE=2><SUB><FONT >^</FONT> <I>min</I></SUB></FONT> in principle should be zero, in practise a cut off must be included to prevent the aforementioned ratio to diverge. The minimum momentum applicable is calculated at run-time by PYHTIA with the following formula: <DIV ALIGN=center><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR VALIGN=middle><TD NOWRAP><I>p</I><FONT SIZE=2><SUB><FONT >^</FONT> <I>min</I></SUB></FONT>(<I>s</I>)=<FONT >p</FONT><FONT SIZE=2><SUB>82</SUB></FONT></TD><br />
<TD NOWRAP><FONT ><br />
/<BR><br />
|<BR><br />
|<BR><br />
\ </FONT></TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center><I>E<FONT SIZE=2><SUB>cm</SUB></FONT></I></TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><FONT >p</FONT><FONT SIZE=2><SUB>89</SUB></FONT></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP><FONT ><br />
\ <BR><br />
|<BR><br />
|<BR><br />
/</FONT></TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD ALIGN=left NOWRAP><FONT SIZE=2><FONT >p</FONT><SUB>90</SUB></FONT></TD><br />
</TR><br />
<TR><TD ALIGN=left><BR><br />
<BR><br />
<BR><br />
</TD><br />
</TR><br />
<TR><TD ALIGN=left NOWRAP>&nbsp;</TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP>,</TD><br />
</TR></TABLE></DIV> where the parameters <FONT >p</FONT><FONT SIZE=2><I><SUB>i</SUB></I></FONT> are defined in pythia by PARP(I). The physical meaning of this formula is that when the exchanged momentum between the scattering parton is low, the exchanged gluon cannot resolve the individual colour of the partons, reducing the coupling constant. This screening effect limits the cross-section at low momenta.<BR><br />
<BR><br />
The effect of the impact parameter on the minimum bias collision is parametrized by a double-gaussian parton density: <DIV ALIGN=center><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR VALIGN=middle><TD NOWRAP><FONT >r</FONT>(<I>r</I>)<FONT >&mu;</FONT></TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center>1-<FONT >b</FONT></TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><I>a</I><FONT SIZE=2><SUB>1</SUB><SUP>3</SUP></FONT></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP>exp</TD><br />
<TD NOWRAP><FONT ><br />
/<BR><br />
|<BR><br />
|<BR><br />
\ </FONT></TD><br />
<TD NOWRAP>-</TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center><I>r</I><FONT SIZE=2><SUP>2</SUP></FONT></TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><I>a</I><FONT SIZE=2><SUB>1</SUB><SUP>2</SUP></FONT></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP><FONT ><br />
\ <BR><br />
|<BR><br />
|<BR><br />
/</FONT></TD><br />
<TD NOWRAP>+</TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center><FONT >b</FONT></TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><I>a</I><FONT SIZE=2><SUB>2</SUB><SUP>3</SUP></FONT></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP>exp</TD><br />
<TD NOWRAP><FONT ><br />
/<BR><br />
|<BR><br />
|<BR><br />
\ </FONT></TD><br />
<TD NOWRAP>-</TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center><I>r</I><FONT SIZE=2><SUP>2</SUP></FONT></TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><I>a</I><FONT SIZE=2><SUB>2</SUB><SUP>2</SUP></FONT></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP><FONT ><br />
\ <BR><br />
|<BR><br />
|<BR><br />
/</FONT></TD><br />
<TD NOWRAP>,</TD><br />
</TR></TABLE></DIV> which describes a parton model when a fraction <FONT >b</FONT> of the hadronic matter is contained inside a &quot;core&quot; the radius of which is <I>a</I><FONT SIZE=2><SUB>2</SUB></FONT>/<I>a</I><FONT SIZE=2><SUB>1</SUB></FONT> of the proton radius. This model correctly describes the multiplicity of minimum bias events: harder collisions result in smaller impact parameter, which probes high density regions where minimum bias events are more likely to happen.<BR><br />
<BR><br />
Minum bias was studied at CDF by Rick Field <EM>et al.</EM> to obtain a PYTHIA tuning capable do describe data. The method utilised at CDF is the following: minimum bias data is generated by PYTHIA by selecting MSEL=1 (QCD high- and low-pt events). For each event, jets are reconstructed with a cone of radius 0.7; the phi space is divided into four regions, using the jet with the highest pt in the event as a reference axis. Two of the zones are labelled as &quot;transverse&quot;, and cover a region from 60 to 120 away from the jet axis. All charged particles included in these two regions are examined, event by event: the scalar pt sum of particles surviving the cut |<FONT >h</FONT>|&lt;1, <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I>&gt;0.5&nbsp;GeV is computed, and plotted against the pt of the leading jet. A similar technique can be used by examining jets instead of individual particle, but CDF used charged tracks because of the better resolution of the tracker w.r.t. the calorimeter.<BR><br />
<BR><br />
If we separate the two transverse zones in a region of low energy deposition and a region of high energy deposition and we plot separately the scalar pt sum, we obtain two separate diagrams, where the amount of high energy deposition is correlated with the &quot;hard&quot; fraction of minimum bias, while the low energy plot is correlatedwith the &quot;soft&quot; and collinear scatterings. The PYTHIA parameters were tuned to make these two plots reproduce the same plot drawn for CDF minimum bias data.<BR><br />
<BR><br />
The parametrisation obtained by Field is the following:<br />
<UL><LI>PARP(82)=2.0 regularization scale of the minimum pt in the hard scattering (D=2.1);<br />
<LI>PARP(83)=0.5 fraction of hadronic matter inside the &quot;core&quot; (D=0.5);<br />
<LI>PARP(84)=0.4 ratio between the &quot;core&quot; radius and the proton radius (D=0.2);<br />
<LI>PARP(85)=0.9 probability of having an extra interaction giving two gluons (D=0.33);<br />
<LI>PARP(86)=0.95 probabilty of having an extra interaction giving two gluons or a closed gluon loop (D=0.66);<br />
<LI>PARP(89)=1800 regularization energy of the minimum pt --- 1.8&nbsp;TeV (D=1000.);<br />
<LI>PARP(90)=0.25 exponent of the regularization function (D=0.16);<br />
<LI>PARP(67)=4.0 maximum virtuality (4× <I>Q</I><FONT SIZE=2><SUP>2</SUP></FONT>) for spacelike parton showers (D=1.);<br />
</UL><br />
The main effect of the above tuning is to increase the core size, thus reducing the parton density and thus decrease the multiplicity, and to increase initial state showers. No plot this time, I screwed up badly.<BR><br />
<BR><br />
The parametrization used at DC2, instead, is very simple:<br />
<UL><LI>MSTJ(11)=3 fragmentation scheme: use Peterson fragmentation function <DIV ALIGN=center><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR VALIGN=middle><TD NOWRAP><I>f</I>(<I>z</I>)=</TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center>1</TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR VALIGN=middle><TD NOWRAP><I>z</I></TD><br />
<TD NOWRAP><FONT ><br />
/<BR><br />
|<BR><br />
|<BR><br />
\ </FONT></TD><br />
<TD NOWRAP>1-</TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center>1</TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><I>z</I></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP>-</TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center>(-<I>c</I>)</TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center>1-<I>z</I></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP><FONT ><br />
\ <BR><br />
|<BR><br />
|<BR><br />
/</FONT></TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD ALIGN=left NOWRAP><FONT SIZE=2>2</FONT></TD><br />
</TR><br />
<TR><TD ALIGN=left><BR><br />
<BR><br />
<BR><br />
</TD><br />
</TR><br />
<TR><TD ALIGN=left NOWRAP>&nbsp;</TD><br />
</TR></TABLE></TD><br />
</TR></TABLE></TD><br />
</TR></TABLE></TD><br />
</TR></TABLE></DIV> for b- and c-quarks;<br />
<LI>MSTJ(22)=2 decay cutoff: decay particles only if <I>c</I><FONT >t</FONT>&gt;10&nbsp;mm;<br />
<LI>PARJ(54)=-0.07 <I>c</I> factor in the Peterson function for c-quarks (D=-0.05);<br />
<LI>PARJ(55)=-0.006 <I>c</I> factor in the Peterson function for b-quarks (D=-0.005);<br />
<LI>PARP(82)=1.8 regularization scale of the minimum pt in the hard scattering (D=2.1);<br />
<LI>PARP(84)=0.5 ratio between the &quot;core&quot; radius and the proton radius (D=0.2);<br />
</UL><br />
UPDATE: the Field parametrization is now default in PYTHIA. DOH!<BR><br />
<BR><br />
<!--TOC subsection Multiple interactions--><br />
<br />
<H3>6.5.2&nbsp;&nbsp;Multiple interactions</H3><!--SEC END --><br />
<br />
Using the Pileup sample instead of the normal one.<BR><br />
<BR><br />
<!--TOC subsection Missing Et--><br />
<br />
<H3>6.5.3&nbsp;&nbsp;Missing Et</H3><!--SEC END --><br />
<br />
<!--TOC subsection Jet energy scale--><br />
<br />
<H3>6.5.4&nbsp;&nbsp;Jet energy scale</H3><!--SEC END --><br />
<br />
<!--TOC subsection B-jet tagging--><br />
<br />
<H3>6.5.5&nbsp;&nbsp;B-jet tagging</H3><!--SEC END --></div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=File:Bkg-sig04.gif&diff=4740File:Bkg-sig04.gif2005-10-12T13:59:08Z<p>Barison: </p>
<hr />
<div></div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=File:Bkg-sig.gif&diff=4739File:Bkg-sig.gif2005-10-12T13:58:56Z<p>Barison: </p>
<hr />
<div></div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=Chapter_VI&diff=654Chapter VI2005-10-12T13:55:51Z<p>Barison: </p>
<hr />
<div>--[[User:Barison|Barison]] 14:38, 12 Oct 2005 (MET DST)<br />
<br />
<!--TOC chapter Analysis--><br />
<br />
<br />
<br />
<H1>Chapter&nbsp;6&nbsp;&nbsp;Analysis</H1><!--SEC END --><br />
<br />
<UL><LI>single top channels are little affected by combinatorics<br />
<LI>however ttbar and wjj backgrounds are dominant<br />
<LI>need to find good trade-off between selection efficiency and background rejection<br />
</UL><br />
<!--TOC section AOD Definitions--><br />
<br />
<H2>6.1&nbsp;&nbsp;AOD Definitions</H2><!--SEC END --><br />
<br />
Insert work on: electron selection, bjet tagging<BR><br />
<BR><br />
<!--TOC subsection Electrons--><br />
<br />
<H3>6.1.1&nbsp;&nbsp;Electrons</H3><!--SEC END --><br />
<br />
In the AOD data file, two types of electron candidates are present, reconstructed with different algorithms:<br />
<UL><LI>the <TT>softe</TT> algorithm, which is optimised to reconstruct electron candidates with <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I>&lt; 10&nbsp;GeV;<br />
<LI>the <TT>egamma</TT> algorithm, which reconstructs hard electrons.<br />
</UL><br />
Since electrons from single top decays are highly energetic, in my analysis I will consider <TT>egamma</TT> electrons only. There are also two methods to discriminate between electrons and pions/photons in the candidate list:<br />
<UL><LI>the <TT>isEM</TT> flag, which is a 16-bit word where each bit represents the result of a discriminating algorithm. The candidate is an electron if <TT>isEM = 0</TT>.<br />
<LI>the &quot;weight&quot; which assigns to the candidate a probability of being an electron or a pion/photon. The candidate is an electron if <DIV ALIGN=center><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR VALIGN=middle><TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center><I>W<FONT SIZE=2><SUB>e</SUB></FONT></I></TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><I>W<FONT SIZE=2><SUB>e</SUB></FONT></I>+<I>W</I><FONT SIZE=2><SUB>p</SUB></FONT></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP>&gt;0.6</TD><br />
</TR></TABLE></DIV><br />
</UL><br />
Finally, the single top analysis requires isolated electrons. To define isolation, the total transverse energy deposed in a 0.2 cone around the electron needs to be lower than 10&nbsp;GeV. This definition matches the isolation cut defined in ATLFAST (see Section&nbsp;??).<BR><br />
<BR><br />
I performed an analysis to investigate which one of the two discriminating methods gives the best results for identifying electrons. First of all I searched for the true electron from the <I>W</I> decay in the MC truth. Then, I ordered the reconstructed electrons by descending <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I>. I obtained two lists, one for each selection method. From each list I considered only the highest <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I> electron. Then I analysed the <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I> spectra, the efficiency of the two methods, and the angular resolution w.r.t. the MC truth.<BR><br />
<BR><br />
<!--TOC subsubsection <I>p</I><SUB><FONT SIZE=2><I>T</I></FONT></SUB> Spectrum--><br />
<br />
<H4><I>p<FONT SIZE=2><SUB>T</SUB></FONT></I> Spectrum</H4><!--SEC END --><br />
<br />
<BLOCKQUOTE><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV><DIV ALIGN=center> [[Image:Ele_pt.gif]]<br />
</DIV><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV></BLOCKQUOTE><br />
The plot shows the Pt spectrum of the MC electrons (black), the isEM electrons (red) and the Likelihhod electrons (blue). Nothing wrong in the spectrum, but it is obvious that the Likelihood choice gives higher efficiency,and a few fakes.<BR><br />
<BR><br />
<!--TOC subsubsection Efficiency--><br />
<br />
<H4>Efficiency</H4><!--SEC END --><br />
<br />
By defining efficiency as the probability of finding exatcly one electron above a 20 GeV threshold, efficiency for isEM is 70.7<br />
<BLOCKQUOTE><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV><DIV ALIGN=center> [[Image:Ele_eff.gif]]<br />
<BR><br />
<DIV ALIGN=center>Figure 6.1: Efficiency w.r.t. Pseudorapidity for the two choices. The cracks in the intermediate region are clearly visible.</DIV><BR><br />
<br />
</DIV><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV></BLOCKQUOTE><br />
<!--TOC subsubsection <I>p</I><SUB><FONT SIZE=2><I>T</I></FONT></SUB> Resolution--><br />
<br />
<H4><I>p<FONT SIZE=2><SUB>T</SUB></FONT></I> Resolution</H4><!--SEC END --><br />
<br />
Ratio between the Pt of reconstructed electron and the true electron.<br />
Percentage of events with ratio inside (20%, 40%, 60%) for isEM:<br />
96.1% -- 98.2% -- 99.1%<br />
Percentage of events with ratio inside (20%, 40%, 60%) for Likelihood:<br />
91.6% -- 94.7% -- 96.2%<br />
<BLOCKQUOTE><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV><DIV ALIGN=center> [[Image:Ele_dpt.gif]]<br />
<BR><br />
<DIV ALIGN=center>Figure 6.2: </DIV><BR><br />
<br />
</DIV><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV></BLOCKQUOTE><br />
<!--TOC subsubsection Angular Resolution--><br />
<br />
<H4>Angular Resolution</H4><!--SEC END --><br />
<br />
I plot the angular distance between the true electron and the highest Pt electron candidate.<br />
<BLOCKQUOTE><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV><DIV ALIGN=center> [[Image:Ele_dr.gif]]<br />
<BR><br />
<DIV ALIGN=center>Figure 6.3: </DIV><BR><br />
<br />
</DIV><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV></BLOCKQUOTE><br />
<!--TOC subsubsection Fake Rate--><br />
<br />
<H4>Fake Rate</H4><!--SEC END --><br />
<br />
If there are no hard electrons in the MC truth, I count the reconstructed electrons as fakes. The ratio of fakes that go over a 20 GeV threshold is 0.3% for isEM and 1.6% for Likelihood.<br />
<BLOCKQUOTE><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV><DIV ALIGN=center> [[Image:Ele_thr.gif]]<br />
<BR><br />
<DIV ALIGN=center>Figure 6.4: </DIV><BR><br />
<br />
</DIV><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV></BLOCKQUOTE><br />
<!--TOC subsubsection Charge--><br />
<br />
<H4>Charge</H4><!--SEC END --><br />
<br />
In this plot I compare the charge of the MC electron with the charge of the reconstructed electron with the highest pt. The bin labelled "1" identifies a correct cha<br />
rge match, while "-1" identifies a charge mismatch. The mismatch rate for isEM is 0.8% while for Likelihood is 3.5%<br />
<BLOCKQUOTE><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV><DIV ALIGN=center> [[Image:Chg.gif]]<br />
<BR><br />
<DIV ALIGN=center>Figure 6.5: </DIV><BR><br />
<br />
</DIV><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV></BLOCKQUOTE><br />
<!--TOC subsubsection Conclusions--><br />
<br />
<H4>Conclusions</H4><!--SEC END --><br />
<br />
Overall, isEM offers a slightly better performance in term of angular resolution, momentum resolution and charge identification. However, this is offset by the high efficiency of the Likelihood.<br />
If precision measurements are necessary, the isEM method is preferrable (though lets not forget it is currently buggy, and its performance could improve in future SW releases).<br />
If the analysis is performed on a small sample, and reconstruction efficiency has to be maximized, the Likelihood method is a better choice.<BR><br />
<BR><br />
<!--TOC section Selection cuts--><br />
<br />
<H2>6.2&nbsp;&nbsp;Selection cuts</H2><!--SEC END --><br />
<br />
<br />
Cut efficiency studies in the past have been performed with old montecarlo generator.<br />
As first check, the efficiency is now lower (50%). Need a better study of cut efficiecies.<br />
<UL><LI>isolated lepton cut: trigger efficiency, cut efficiency<br />
<LI>b-tagging: why do we use single instead of double b-tag (collinear b)<br />
<LI>forward light jet: discriminant against Wjj backgrounds<br />
<LI>no cut on missing Et. Need to insert one?<br />
</UL><br />
Here put a graph of the selection cuts with the efficiencies.<br />
<UL><LI>Isolated lepton distributions <br />
<LI>Jet distribution<br />
<LI>Total invariant mass<br />
<LI>Other?<br />
</UL><br />
<!--TOC section Kinematic fit to the W mass--><br />
<br />
<H2>6.3&nbsp;&nbsp;Kinematic fit to the W mass</H2><!--SEC END --><br />
<br />
<UL><LI>W mass measured with good resolution<br />
<LI>W mass can be used for calibration purposes (ttbar, usually)<br />
<LI>Quadratic function: two results. Good need handle on missing Et<br />
</UL><br />
<!--TOC section Combinatorics and Top selection--><br />
<br />
<H2>6.4&nbsp;&nbsp;Combinatorics and Top selection</H2><!--SEC END --><br />
<br />
There are almost no combinatorics, however there is a double ambiguity. A few methods to solve it:<BR><br />
<BR><br />
<!--TOC subsection Target mass--><br />
<br />
<H3>6.4.1&nbsp;&nbsp;Target mass</H3><!--SEC END --><br />
<br />
Retain the solution with mass closest to 175. It biases the event.<BR><br />
<BR><br />
<!--TOC subsection Reverse boost--><br />
<br />
<H3>6.4.2&nbsp;&nbsp;Reverse boost</H3><!--SEC END --><br />
<br />
Boost all the decay particles back to the top frame and select the couple close to the back-to-back configuration. It does not work very well (jet scale might be a problem).<BR><br />
<BR><br />
<!--TOC subsection Highest Pt--><br />
<br />
<H3>6.4.3&nbsp;&nbsp;Highest Pt</H3><!--SEC END --><br />
<br />
Select the top with the highest pt. Works well, but the physics of it escapes me.<BR><br />
<BR><br />
<!--TOC section Systematics--><br />
<br />
<H2>6.5&nbsp;&nbsp;Systematics</H2><!--SEC END --><br />
<br />
<!--TOC subsection Minimum bias--><br />
<br />
<H3>6.5.1&nbsp;&nbsp;Minimum bias</H3><!--SEC END --><br />
<br />
Minimum bias events are events where the colliding protons undergo a soft elastic collisions or a soft parton collision (diffractive events). Occasionally, a soft parton collision might &quot;fluctuate&quot; to result in an event with high enough <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I> to be measured by the detector.<BR><br />
<BR><br />
Underlying events are defined as the sum of all types of events (beam remnants, ISR, secondary parton collisions) which happen at the same time of hard inelastic parton scattering. In the first approssimation, underlying events and minimum bias events are assumed to be governed by the same physical model. However, there can be significant differences, since color interactions between the hard scattering and the underlying events might occur, modifying the spectra of the two classes of events.<br />
At the detector level, underlying events generate extra tracks in the detector and deposit energy in the calorimeter, thus degrading the measurement of the hard scattering. Several studies have been performed to evaluate the effect of underlying events by modelling minimum bias in Montecarlo generators and using the same model to generate underlying events.<BR><br />
<BR><br />
In PYTHIA, the model of minimum bias is the following: the number of underlying events is given by the ration between the cross section for &quot;hard&quot; minimum bias events divided by the cross-section of total, inelastic non-diffractive soft events: <FONT >s</FONT><FONT SIZE=2><I><SUB>hard</SUB></I></FONT>(<I>p</I><FONT SIZE=2><SUB><FONT >^</FONT> <I>min</I></SUB></FONT>)/<FONT >s</FONT><FONT SIZE=2><I><SUB>nd</SUB></I></FONT>(<I>s</I>). While <I>p</I><FONT SIZE=2><SUB><FONT >^</FONT> <I>min</I></SUB></FONT> in principle should be zero, in practise a cut off must be included to prevent the aforementioned ratio to diverge. The minimum momentum applicable is calculated at run-time by PYHTIA with the following formula: <DIV ALIGN=center><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR VALIGN=middle><TD NOWRAP><I>p</I><FONT SIZE=2><SUB><FONT >^</FONT> <I>min</I></SUB></FONT>(<I>s</I>)=<FONT >p</FONT><FONT SIZE=2><SUB>82</SUB></FONT></TD><br />
<TD NOWRAP><FONT ><br />
/<BR><br />
|<BR><br />
|<BR><br />
\ </FONT></TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center><I>E<FONT SIZE=2><SUB>cm</SUB></FONT></I></TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><FONT >p</FONT><FONT SIZE=2><SUB>89</SUB></FONT></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP><FONT ><br />
\ <BR><br />
|<BR><br />
|<BR><br />
/</FONT></TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD ALIGN=left NOWRAP><FONT SIZE=2><FONT >p</FONT><SUB>90</SUB></FONT></TD><br />
</TR><br />
<TR><TD ALIGN=left><BR><br />
<BR><br />
<BR><br />
</TD><br />
</TR><br />
<TR><TD ALIGN=left NOWRAP>&nbsp;</TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP>,</TD><br />
</TR></TABLE></DIV> where the parameters <FONT >p</FONT><FONT SIZE=2><I><SUB>i</SUB></I></FONT> are defined in pythia by PARP(I). The physical meaning of this formula is that when the exchanged momentum between the scattering parton is low, the exchanged gluon cannot resolve the individual colour of the partons, reducing the coupling constant. This screening effect limits the cross-section at low momenta.<BR><br />
<BR><br />
The effect of the impact parameter on the minimum bias collision is parametrized by a double-gaussian parton density: <DIV ALIGN=center><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR VALIGN=middle><TD NOWRAP><FONT >r</FONT>(<I>r</I>)<FONT >&mu;</FONT></TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center>1-<FONT >b</FONT></TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><I>a</I><FONT SIZE=2><SUB>1</SUB><SUP>3</SUP></FONT></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP>exp</TD><br />
<TD NOWRAP><FONT ><br />
/<BR><br />
|<BR><br />
|<BR><br />
\ </FONT></TD><br />
<TD NOWRAP>-</TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center><I>r</I><FONT SIZE=2><SUP>2</SUP></FONT></TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><I>a</I><FONT SIZE=2><SUB>1</SUB><SUP>2</SUP></FONT></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP><FONT ><br />
\ <BR><br />
|<BR><br />
|<BR><br />
/</FONT></TD><br />
<TD NOWRAP>+</TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center><FONT >b</FONT></TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><I>a</I><FONT SIZE=2><SUB>2</SUB><SUP>3</SUP></FONT></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP>exp</TD><br />
<TD NOWRAP><FONT ><br />
/<BR><br />
|<BR><br />
|<BR><br />
\ </FONT></TD><br />
<TD NOWRAP>-</TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center><I>r</I><FONT SIZE=2><SUP>2</SUP></FONT></TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><I>a</I><FONT SIZE=2><SUB>2</SUB><SUP>2</SUP></FONT></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP><FONT ><br />
\ <BR><br />
|<BR><br />
|<BR><br />
/</FONT></TD><br />
<TD NOWRAP>,</TD><br />
</TR></TABLE></DIV> which describes a parton model when a fraction <FONT >b</FONT> of the hadronic matter is contained inside a &quot;core&quot; the radius of which is <I>a</I><FONT SIZE=2><SUB>2</SUB></FONT>/<I>a</I><FONT SIZE=2><SUB>1</SUB></FONT> of the proton radius. This model correctly describes the multiplicity of minimum bias events: harder collisions result in smaller impact parameter, which probes high density regions where minimum bias events are more likely to happen.<BR><br />
<BR><br />
Minum bias was studied at CDF by Rick Field <EM>et al.</EM> to obtain a PYTHIA tuning capable do describe data. The method utilised at CDF is the following: minimum bias data is generated by PYTHIA by selecting MSEL=1 (QCD high- and low-pt events). For each event, jets are reconstructed with a cone of radius 0.7; the phi space is divided into four regions, using the jet with the highest pt in the event as a reference axis. Two of the zones are labelled as &quot;transverse&quot;, and cover a region from 60 to 120 away from the jet axis. All charged particles included in these two regions are examined, event by event: the scalar pt sum of particles surviving the cut |<FONT >h</FONT>|&lt;1, <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I>&gt;0.5&nbsp;GeV is computed, and plotted against the pt of the leading jet. A similar technique can be used by examining jets instead of individual particle, but CDF used charged tracks because of the better resolution of the tracker w.r.t. the calorimeter.<BR><br />
<BR><br />
If we separate the two transverse zones in a region of low energy deposition and a region of high energy deposition and we plot separately the scalar pt sum, we obtain two separate diagrams, where the amount of high energy deposition is correlated with the &quot;hard&quot; fraction of minimum bias, while the low energy plot is correlatedwith the &quot;soft&quot; and collinear scatterings. The PYTHIA parameters were tuned to make these two plots reproduce the same plot drawn for CDF minimum bias data.<BR><br />
<BR><br />
The parametrisation obtained by Field is the following:<br />
<UL><LI>PARP(82)=2.0 regularization scale of the minimum pt in the hard scattering (D=2.1);<br />
<LI>PARP(83)=0.5 fraction of hadronic matter inside the &quot;core&quot; (D=0.5);<br />
<LI>PARP(84)=0.4 ratio between the &quot;core&quot; radius and the proton radius (D=0.2);<br />
<LI>PARP(85)=0.9 probability of having an extra interaction giving two gluons (D=0.33);<br />
<LI>PARP(86)=0.95 probabilty of having an extra interaction giving two gluons or a closed gluon loop (D=0.66);<br />
<LI>PARP(89)=1800 regularization energy of the minimum pt --- 1.8&nbsp;TeV (D=1000.);<br />
<LI>PARP(90)=0.25 exponent of the regularization function (D=0.16);<br />
<LI>PARP(67)=4.0 maximum virtuality (4× <I>Q</I><FONT SIZE=2><SUP>2</SUP></FONT>) for spacelike parton showers (D=1.);<br />
</UL><br />
The main effect of the above tuning is to increase the core size, thus reducing the parton density and thus decrease the multiplicity, and to increase initial state showers. No plot this time, I screwed up badly.<BR><br />
<BR><br />
The parametrization used at DC2, instead, is very simple:<br />
<UL><LI>MSTJ(11)=3 fragmentation scheme: use Peterson fragmentation function <DIV ALIGN=center><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR VALIGN=middle><TD NOWRAP><I>f</I>(<I>z</I>)=</TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center>1</TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR VALIGN=middle><TD NOWRAP><I>z</I></TD><br />
<TD NOWRAP><FONT ><br />
/<BR><br />
|<BR><br />
|<BR><br />
\ </FONT></TD><br />
<TD NOWRAP>1-</TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center>1</TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><I>z</I></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP>-</TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center>(-<I>c</I>)</TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center>1-<I>z</I></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP><FONT ><br />
\ <BR><br />
|<BR><br />
|<BR><br />
/</FONT></TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD ALIGN=left NOWRAP><FONT SIZE=2>2</FONT></TD><br />
</TR><br />
<TR><TD ALIGN=left><BR><br />
<BR><br />
<BR><br />
</TD><br />
</TR><br />
<TR><TD ALIGN=left NOWRAP>&nbsp;</TD><br />
</TR></TABLE></TD><br />
</TR></TABLE></TD><br />
</TR></TABLE></TD><br />
</TR></TABLE></DIV> for b- and c-quarks;<br />
<LI>MSTJ(22)=2 decay cutoff: decay particles only if <I>c</I><FONT >t</FONT>&gt;10&nbsp;mm;<br />
<LI>PARJ(54)=-0.07 <I>c</I> factor in the Peterson function for c-quarks (D=-0.05);<br />
<LI>PARJ(55)=-0.006 <I>c</I> factor in the Peterson function for b-quarks (D=-0.005);<br />
<LI>PARP(82)=1.8 regularization scale of the minimum pt in the hard scattering (D=2.1);<br />
<LI>PARP(84)=0.5 ratio between the &quot;core&quot; radius and the proton radius (D=0.2);<br />
</UL><br />
UPDATE: the Field parametrization is now default in PYTHIA. DOH!<BR><br />
<BR><br />
<!--TOC subsection Multiple interactions--><br />
<br />
<H3>6.5.2&nbsp;&nbsp;Multiple interactions</H3><!--SEC END --><br />
<br />
Using the Pileup sample instead of the normal one.<BR><br />
<BR><br />
<!--TOC subsection Missing Et--><br />
<br />
<H3>6.5.3&nbsp;&nbsp;Missing Et</H3><!--SEC END --><br />
<br />
<!--TOC subsection Jet energy scale--><br />
<br />
<H3>6.5.4&nbsp;&nbsp;Jet energy scale</H3><!--SEC END --><br />
<br />
<!--TOC subsection B-jet tagging--><br />
<br />
<H3>6.5.5&nbsp;&nbsp;B-jet tagging</H3><!--SEC END --></div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=File:Ele_eff.gif&diff=4738File:Ele eff.gif2005-10-12T13:46:42Z<p>Barison: </p>
<hr />
<div></div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=File:Ele_thr.gif&diff=4737File:Ele thr.gif2005-10-12T13:46:21Z<p>Barison: </p>
<hr />
<div></div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=File:Ele_dr.gif&diff=4736File:Ele dr.gif2005-10-12T13:46:08Z<p>Barison: </p>
<hr />
<div></div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=File:Ele_dpt.gif&diff=4735File:Ele dpt.gif2005-10-12T13:46:00Z<p>Barison: </p>
<hr />
<div></div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=File:Ele_pt.gif&diff=4734File:Ele pt.gif2005-10-12T13:45:52Z<p>Barison: </p>
<hr />
<div></div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=File:Chg.gif&diff=4733File:Chg.gif2005-10-12T13:45:42Z<p>Barison: </p>
<hr />
<div></div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=Chapter_VI&diff=653Chapter VI2005-10-12T13:43:10Z<p>Barison: </p>
<hr />
<div>--[[User:Barison|Barison]] 14:38, 12 Oct 2005 (MET DST)<br />
<br />
<!--TOC chapter Analysis--><br />
<br />
<H1>Chapter&nbsp;6&nbsp;&nbsp;Analysis</H1><!--SEC END --><br />
<br />
<UL><LI>single top channels are little affected by combinatorics<br />
<LI>however ttbar and wjj backgrounds are dominant<br />
<LI>need to find good trade-off between selection efficiency and background rejection<br />
</UL><br />
<!--TOC section AOD Definitions--><br />
<br />
<H2>6.1&nbsp;&nbsp;AOD Definitions</H2><!--SEC END --><br />
<br />
Insert work on: electron selection, bjet tagging<BR><br />
<BR><br />
<!--TOC subsection Electrons--><br />
<br />
<H3>6.1.1&nbsp;&nbsp;Electrons</H3><!--SEC END --><br />
<br />
In the AOD data file, two types of electron candidates are present, reconstructed with different algorithms:<br />
<UL><LI>the <TT>softe</TT> algorithm, which is optimised to reconstruct electron candidates with <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I>&lt; 10&nbsp;GeV;<br />
<LI>the <TT>egamma</TT> algorithm, which reconstructs hard electrons.<br />
</UL><br />
Since electrons from single top decays are highly energetic, in my analysis I will consider <TT>egamma</TT> electrons only. There are also two methods to discriminate between electrons and pions/photons in the candidate list:<br />
<UL><LI>the <TT>isEM</TT> flag, which is a 16-bit word where each bit represents the result of a discriminating algorithm. The candidate is an electron if <TT>isEM = 0</TT>.<br />
<LI>the &quot;weight&quot; which assigns to the candidate a probability of being an electron or a pion/photon. The candidate is an electron if <DIV ALIGN=center><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR VALIGN=middle><TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center><I>W<FONT SIZE=2><SUB>e</SUB></FONT></I></TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><I>W<FONT SIZE=2><SUB>e</SUB></FONT></I>+<I>W</I><FONT SIZE=2><SUB>p</SUB></FONT></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP>&gt;0.6</TD><br />
</TR></TABLE></DIV><br />
</UL><br />
Finally, the single top analysis requires isolated electrons. To define isolation, the total transverse energy deposed in a 0.2 cone around the electron needs to be lower than 10&nbsp;GeV. This definition matches the isolation cut defined in ATLFAST (see Section&nbsp;??).<BR><br />
<BR><br />
I performed an analysis to investigate which one of the two discriminating methods gives the best results for identifying electrons. First of all I searched for the true electron from the <I>W</I> decay in the MC truth. Then, I ordered the reconstructed electrons by descending <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I>. I obtained two lists, one for each selection method. From each list I considered only the highest <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I> electron. Then I analysed the <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I> spectra, the efficiency of the two methods, and the angular resolution w.r.t. the MC truth.<BR><br />
<BR><br />
<!--TOC subsubsection <I>p</I><SUB><FONT SIZE=2><I>T</I></FONT></SUB> Spectrum--><br />
<br />
<H4><I>p<FONT SIZE=2><SUB>T</SUB></FONT></I> Spectrum</H4><!--SEC END --><br />
<br />
<BLOCKQUOTE><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV><DIV ALIGN=center> [[Image:Ele_pt.gif]]<br />
</DIV><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV></BLOCKQUOTE><br />
The plot shows the Pt spectrum of the MC electrons (black), the isEM electrons (red) and the Likelihhod electrons (blue). Nothing wrong in the spectrum, but it is obvious that the Likelihood choice gives higher efficiency,and a few fakes.<BR><br />
<BR><br />
<!--TOC subsubsection Efficiency--><br />
<br />
<H4>Efficiency</H4><!--SEC END --><br />
<br />
By defining efficiency as the probability of finding exatcly one electron above a 20 GeV threshold, efficiency for isEM is 70.7<br />
<BLOCKQUOTE><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV><DIV ALIGN=center> [[Image:Ele_eff.gif]]<br />
<BR><br />
<DIV ALIGN=center>Figure 6.1: Efficiency w.r.t. Pseudorapidity for the two choices. The cracks in the intermediate region are clearly visible.</DIV><BR><br />
<br />
</DIV><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV></BLOCKQUOTE><br />
<!--TOC subsubsection <I>p</I><SUB><FONT SIZE=2><I>T</I></FONT></SUB> Resolution--><br />
<br />
<H4><I>p<FONT SIZE=2><SUB>T</SUB></FONT></I> Resolution</H4><!--SEC END --><br />
<br />
Ratio between the Pt of reconstructed electron and the true electron.<br />
Percentage of events with ratio inside (20%, 40%, 60%) for isEM:<br />
96.1% -- 98.2% -- 99.1%<br />
Percentage of events with ratio inside (20%, 40%, 60%) for Likelihood:<br />
91.6% -- 94.7% -- 96.2%<br />
<BLOCKQUOTE><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV><DIV ALIGN=center> [[Image:Ele_dpt.gif]]<br />
<BR><br />
<DIV ALIGN=center>Figure 6.2: </DIV><BR><br />
<br />
</DIV><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV></BLOCKQUOTE><br />
<!--TOC subsubsection Angular Resolution--><br />
<br />
<H4>Angular Resolution</H4><!--SEC END --><br />
<br />
I plot the angular distance between the true electron and the highest Pt electron candidate.<br />
<BLOCKQUOTE><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV><DIV ALIGN=center> [[Image:Ele_dr.gif]]<br />
<BR><br />
<DIV ALIGN=center>Figure 6.3: </DIV><BR><br />
<br />
</DIV><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV></BLOCKQUOTE><br />
<!--TOC subsubsection Fake Rate--><br />
<br />
<H4>Fake Rate</H4><!--SEC END --><br />
<br />
If there are no hard electrons in the MC truth, I count the reconstructed electrons as fakes. The ratio of fakes that go over a 20 GeV threshold is 0.3% for isEM and 1.6% for Likelihood.<br />
<BLOCKQUOTE><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV><DIV ALIGN=center> [[Image:Ele_thr.gif]]<br />
<BR><br />
<DIV ALIGN=center>Figure 6.4: </DIV><BR><br />
<br />
</DIV><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV></BLOCKQUOTE><br />
<!--TOC subsubsection Charge--><br />
<br />
<H4>Charge</H4><!--SEC END --><br />
<br />
In this plot I compare the charge of the MC electron with the charge of the reconstructed electron with the highest pt. The bin labelled "1" identifies a correct cha<br />
rge match, while "-1" identifies a charge mismatch. The mismatch rate for isEM is 0.8% while for Likelihood is 3.5%<br />
<BLOCKQUOTE><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV><DIV ALIGN=center> [[Image:Chg.gif]]<br />
<BR><br />
<DIV ALIGN=center>Figure 6.5: </DIV><BR><br />
<br />
</DIV><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV></BLOCKQUOTE><br />
<!--TOC subsubsection Conclusions--><br />
<br />
<H4>Conclusions</H4><!--SEC END --><br />
<br />
Overall, isEM offers a slightly better performance in term of angular resolution, momentum resolution and charge identification. However, this is offset by the high efficiency of the Likelihood.<br />
If precision measurements are necessary, the isEM method is preferrable (though lets not forget it is currently buggy, and its performance could improve in future SW releases).<br />
If the analysis is performed on a small sample, and reconstruction efficiency has to be maximized, the Likelihood method is a better choice.<BR><br />
<BR><br />
<!--TOC section Selection cuts--><br />
<br />
<H2>6.2&nbsp;&nbsp;Selection cuts</H2><!--SEC END --><br />
<br />
<br />
Cut efficiency studies in the past have been performed with old montecarlo generator.<br />
As first check, the efficiency is now lower (50%). Need a better study of cut efficiecies.<br />
<UL><LI>isolated lepton cut: trigger efficiency, cut efficiency<br />
<LI>b-tagging: why do we use single instead of double b-tag (collinear b)<br />
<LI>forward light jet: discriminant against Wjj backgrounds<br />
<LI>no cut on missing Et. Need to insert one?<br />
</UL><br />
Here put a graph of the selection cuts with the efficiencies.<br />
<UL><LI>Isolated lepton distributions <br />
<LI>Jet distribution<br />
<LI>Total invariant mass<br />
<LI>Other?<br />
</UL><br />
<!--TOC section Kinematic fit to the W mass--><br />
<br />
<H2>6.3&nbsp;&nbsp;Kinematic fit to the W mass</H2><!--SEC END --><br />
<br />
<UL><LI>W mass measured with good resolution<br />
<LI>W mass can be used for calibration purposes (ttbar, usually)<br />
<LI>Quadratic function: two results. Good need handle on missing Et<br />
</UL><br />
<!--TOC section Combinatorics and Top selection--><br />
<br />
<H2>6.4&nbsp;&nbsp;Combinatorics and Top selection</H2><!--SEC END --><br />
<br />
There are almost no combinatorics, however there is a double ambiguity. A few methods to solve it:<BR><br />
<BR><br />
<!--TOC subsection Target mass--><br />
<br />
<H3>6.4.1&nbsp;&nbsp;Target mass</H3><!--SEC END --><br />
<br />
Retain the solution with mass closest to 175. It biases the event.<BR><br />
<BR><br />
<!--TOC subsection Reverse boost--><br />
<br />
<H3>6.4.2&nbsp;&nbsp;Reverse boost</H3><!--SEC END --><br />
<br />
Boost all the decay particles back to the top frame and select the couple close to the back-to-back configuration. It does not work very well (jet scale might be a problem).<BR><br />
<BR><br />
<!--TOC subsection Highest Pt--><br />
<br />
<H3>6.4.3&nbsp;&nbsp;Highest Pt</H3><!--SEC END --><br />
<br />
Select the top with the highest pt. Works well, but the physics of it escapes me.<BR><br />
<BR><br />
<!--TOC section Systematics--><br />
<br />
<H2>6.5&nbsp;&nbsp;Systematics</H2><!--SEC END --><br />
<br />
<!--TOC subsection Minimum bias--><br />
<br />
<H3>6.5.1&nbsp;&nbsp;Minimum bias</H3><!--SEC END --><br />
<br />
Minimum bias events are events where the colliding protons undergo a soft elastic collisions or a soft parton collision (diffractive events). Occasionally, a soft parton collision might &quot;fluctuate&quot; to result in an event with high enough <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I> to be measured by the detector.<BR><br />
<BR><br />
Underlying events are defined as the sum of all types of events (beam remnants, ISR, secondary parton collisions) which happen at the same time of hard inelastic parton scattering. In the first approssimation, underlying events and minimum bias events are assumed to be governed by the same physical model. However, there can be significant differences, since color interactions between the hard scattering and the underlying events might occur, modifying the spectra of the two classes of events.<br />
At the detector level, underlying events generate extra tracks in the detector and deposit energy in the calorimeter, thus degrading the measurement of the hard scattering. Several studies have been performed to evaluate the effect of underlying events by modelling minimum bias in Montecarlo generators and using the same model to generate underlying events.<BR><br />
<BR><br />
In PYTHIA, the model of minimum bias is the following: the number of underlying events is given by the ration between the cross section for &quot;hard&quot; minimum bias events divided by the cross-section of total, inelastic non-diffractive soft events: <FONT >s</FONT><FONT SIZE=2><I><SUB>hard</SUB></I></FONT>(<I>p</I><FONT SIZE=2><SUB><FONT >^</FONT> <I>min</I></SUB></FONT>)/<FONT >s</FONT><FONT SIZE=2><I><SUB>nd</SUB></I></FONT>(<I>s</I>). While <I>p</I><FONT SIZE=2><SUB><FONT >^</FONT> <I>min</I></SUB></FONT> in principle should be zero, in practise a cut off must be included to prevent the aforementioned ratio to diverge. The minimum momentum applicable is calculated at run-time by PYHTIA with the following formula: <DIV ALIGN=center><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR VALIGN=middle><TD NOWRAP><I>p</I><FONT SIZE=2><SUB><FONT >^</FONT> <I>min</I></SUB></FONT>(<I>s</I>)=<FONT >p</FONT><FONT SIZE=2><SUB>82</SUB></FONT></TD><br />
<TD NOWRAP><FONT ><br />
/<BR><br />
|<BR><br />
|<BR><br />
\ </FONT></TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center><I>E<FONT SIZE=2><SUB>cm</SUB></FONT></I></TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><FONT >p</FONT><FONT SIZE=2><SUB>89</SUB></FONT></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP><FONT ><br />
\ <BR><br />
|<BR><br />
|<BR><br />
/</FONT></TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD ALIGN=left NOWRAP><FONT SIZE=2><FONT >p</FONT><SUB>90</SUB></FONT></TD><br />
</TR><br />
<TR><TD ALIGN=left><BR><br />
<BR><br />
<BR><br />
</TD><br />
</TR><br />
<TR><TD ALIGN=left NOWRAP>&nbsp;</TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP>,</TD><br />
</TR></TABLE></DIV> where the parameters <FONT >p</FONT><FONT SIZE=2><I><SUB>i</SUB></I></FONT> are defined in pythia by PARP(I). The physical meaning of this formula is that when the exchanged momentum between the scattering parton is low, the exchanged gluon cannot resolve the individual colour of the partons, reducing the coupling constant. This screening effect limits the cross-section at low momenta.<BR><br />
<BR><br />
The effect of the impact parameter on the minimum bias collision is parametrized by a double-gaussian parton density: <DIV ALIGN=center><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR VALIGN=middle><TD NOWRAP><FONT >r</FONT>(<I>r</I>)<FONT >&mu;</FONT></TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center>1-<FONT >b</FONT></TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><I>a</I><FONT SIZE=2><SUB>1</SUB><SUP>3</SUP></FONT></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP>exp</TD><br />
<TD NOWRAP><FONT ><br />
/<BR><br />
|<BR><br />
|<BR><br />
\ </FONT></TD><br />
<TD NOWRAP>-</TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center><I>r</I><FONT SIZE=2><SUP>2</SUP></FONT></TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><I>a</I><FONT SIZE=2><SUB>1</SUB><SUP>2</SUP></FONT></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP><FONT ><br />
\ <BR><br />
|<BR><br />
|<BR><br />
/</FONT></TD><br />
<TD NOWRAP>+</TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center><FONT >b</FONT></TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><I>a</I><FONT SIZE=2><SUB>2</SUB><SUP>3</SUP></FONT></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP>exp</TD><br />
<TD NOWRAP><FONT ><br />
/<BR><br />
|<BR><br />
|<BR><br />
\ </FONT></TD><br />
<TD NOWRAP>-</TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center><I>r</I><FONT SIZE=2><SUP>2</SUP></FONT></TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><I>a</I><FONT SIZE=2><SUB>2</SUB><SUP>2</SUP></FONT></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP><FONT ><br />
\ <BR><br />
|<BR><br />
|<BR><br />
/</FONT></TD><br />
<TD NOWRAP>,</TD><br />
</TR></TABLE></DIV> which describes a parton model when a fraction <FONT >b</FONT> of the hadronic matter is contained inside a &quot;core&quot; the radius of which is <I>a</I><FONT SIZE=2><SUB>2</SUB></FONT>/<I>a</I><FONT SIZE=2><SUB>1</SUB></FONT> of the proton radius. This model correctly describes the multiplicity of minimum bias events: harder collisions result in smaller impact parameter, which probes high density regions where minimum bias events are more likely to happen.<BR><br />
<BR><br />
Minum bias was studied at CDF by Rick Field <EM>et al.</EM> to obtain a PYTHIA tuning capable do describe data. The method utilised at CDF is the following: minimum bias data is generated by PYTHIA by selecting MSEL=1 (QCD high- and low-pt events). For each event, jets are reconstructed with a cone of radius 0.7; the phi space is divided into four regions, using the jet with the highest pt in the event as a reference axis. Two of the zones are labelled as &quot;transverse&quot;, and cover a region from 60 to 120 away from the jet axis. All charged particles included in these two regions are examined, event by event: the scalar pt sum of particles surviving the cut |<FONT >h</FONT>|&lt;1, <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I>&gt;0.5&nbsp;GeV is computed, and plotted against the pt of the leading jet. A similar technique can be used by examining jets instead of individual particle, but CDF used charged tracks because of the better resolution of the tracker w.r.t. the calorimeter.<BR><br />
<BR><br />
If we separate the two transverse zones in a region of low energy deposition and a region of high energy deposition and we plot separately the scalar pt sum, we obtain two separate diagrams, where the amount of high energy deposition is correlated with the &quot;hard&quot; fraction of minimum bias, while the low energy plot is correlatedwith the &quot;soft&quot; and collinear scatterings. The PYTHIA parameters were tuned to make these two plots reproduce the same plot drawn for CDF minimum bias data.<BR><br />
<BR><br />
The parametrisation obtained by Field is the following:<br />
<UL><LI>PARP(82)=2.0 regularization scale of the minimum pt in the hard scattering (D=2.1);<br />
<LI>PARP(83)=0.5 fraction of hadronic matter inside the &quot;core&quot; (D=0.5);<br />
<LI>PARP(84)=0.4 ratio between the &quot;core&quot; radius and the proton radius (D=0.2);<br />
<LI>PARP(85)=0.9 probability of having an extra interaction giving two gluons (D=0.33);<br />
<LI>PARP(86)=0.95 probabilty of having an extra interaction giving two gluons or a closed gluon loop (D=0.66);<br />
<LI>PARP(89)=1800 regularization energy of the minimum pt --- 1.8&nbsp;TeV (D=1000.);<br />
<LI>PARP(90)=0.25 exponent of the regularization function (D=0.16);<br />
<LI>PARP(67)=4.0 maximum virtuality (4× <I>Q</I><FONT SIZE=2><SUP>2</SUP></FONT>) for spacelike parton showers (D=1.);<br />
</UL><br />
The main effect of the above tuning is to increase the core size, thus reducing the parton density and thus decrease the multiplicity, and to increase initial state showers. No plot this time, I screwed up badly.<BR><br />
<BR><br />
The parametrization used at DC2, instead, is very simple:<br />
<UL><LI>MSTJ(11)=3 fragmentation scheme: use Peterson fragmentation function <DIV ALIGN=center><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR VALIGN=middle><TD NOWRAP><I>f</I>(<I>z</I>)=</TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center>1</TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR VALIGN=middle><TD NOWRAP><I>z</I></TD><br />
<TD NOWRAP><FONT ><br />
/<BR><br />
|<BR><br />
|<BR><br />
\ </FONT></TD><br />
<TD NOWRAP>1-</TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center>1</TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><I>z</I></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP>-</TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center>(-<I>c</I>)</TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center>1-<I>z</I></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP><FONT ><br />
\ <BR><br />
|<BR><br />
|<BR><br />
/</FONT></TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD ALIGN=left NOWRAP><FONT SIZE=2>2</FONT></TD><br />
</TR><br />
<TR><TD ALIGN=left><BR><br />
<BR><br />
<BR><br />
</TD><br />
</TR><br />
<TR><TD ALIGN=left NOWRAP>&nbsp;</TD><br />
</TR></TABLE></TD><br />
</TR></TABLE></TD><br />
</TR></TABLE></TD><br />
</TR></TABLE></DIV> for b- and c-quarks;<br />
<LI>MSTJ(22)=2 decay cutoff: decay particles only if <I>c</I><FONT >t</FONT>&gt;10&nbsp;mm;<br />
<LI>PARJ(54)=-0.07 <I>c</I> factor in the Peterson function for c-quarks (D=-0.05);<br />
<LI>PARJ(55)=-0.006 <I>c</I> factor in the Peterson function for b-quarks (D=-0.005);<br />
<LI>PARP(82)=1.8 regularization scale of the minimum pt in the hard scattering (D=2.1);<br />
<LI>PARP(84)=0.5 ratio between the &quot;core&quot; radius and the proton radius (D=0.2);<br />
</UL><br />
UPDATE: the Field parametrization is now default in PYTHIA. DOH!<BR><br />
<BR><br />
<!--TOC subsection Multiple interactions--><br />
<br />
<H3>6.5.2&nbsp;&nbsp;Multiple interactions</H3><!--SEC END --><br />
<br />
Using the Pileup sample instead of the normal one.<BR><br />
<BR><br />
<!--TOC subsection Missing Et--><br />
<br />
<H3>6.5.3&nbsp;&nbsp;Missing Et</H3><!--SEC END --><br />
<br />
<!--TOC subsection Jet energy scale--><br />
<br />
<H3>6.5.4&nbsp;&nbsp;Jet energy scale</H3><!--SEC END --><br />
<br />
<!--TOC subsection B-jet tagging--><br />
<br />
<H3>6.5.5&nbsp;&nbsp;B-jet tagging</H3><!--SEC END --></div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=Chapter_VI&diff=652Chapter VI2005-10-12T12:38:38Z<p>Barison: </p>
<hr />
<div>--[[User:Barison|Barison]] 14:38, 12 Oct 2005 (MET DST)<br />
<br />
<!--TOC chapter Analysis--><br />
<br />
<H1>Chapter&nbsp;6&nbsp;&nbsp;Analysis</H1><!--SEC END --><br />
<br />
<UL><LI>single top channels are little affected by combinatorics<br />
<LI>however ttbar and wjj backgrounds are dominant<br />
<LI>need to find good trade-off between selection efficiency and background rejection<br />
</UL><br />
<!--TOC section AOD Definitions--><br />
<br />
<H2>6.1&nbsp;&nbsp;AOD Definitions</H2><!--SEC END --><br />
<br />
Insert work on: electron selection, bjet tagging<BR><br />
<BR><br />
<!--TOC section Selection cuts--><br />
<br />
<H2>6.2&nbsp;&nbsp;Selection cuts</H2><!--SEC END --><br />
<br />
<br />
Cut efficiency studies in the past have been performed with old montecarlo generator.<br />
As first check, the efficiency is now lower (50%). Need a better study of cut efficiecies.<br />
<UL><LI>isolated lepton cut: trigger efficiency, cut efficiency<br />
<LI>b-tagging: why do we use single instead of double b-tag (collinear b)<br />
<LI>forward light jet: discriminant against Wjj backgrounds<br />
<LI>no cut on missing Et. Need to insert one?<br />
</UL><br />
Here put a graph of the selection cuts with the efficiencies.<br />
<UL><LI>Isolated lepton distributions <br />
<LI>Jet distribution<br />
<LI>Total invariant mass<br />
<LI>Other?<br />
</UL><br />
<!--TOC section Kinematic fit to the W mass--><br />
<br />
<H2>6.3&nbsp;&nbsp;Kinematic fit to the W mass</H2><!--SEC END --><br />
<br />
<UL><LI>W mass measured with good resolution<br />
<LI>W mass can be used for calibration purposes (ttbar, usually)<br />
<LI>Quadratic function: two results. Good need handle on missing Et<br />
</UL><br />
<!--TOC section Combinatorics and Top selection--><br />
<br />
<H2>6.4&nbsp;&nbsp;Combinatorics and Top selection</H2><!--SEC END --><br />
<br />
There are almost no combinatorics, however there is a double ambiguity. A few methods to solve it:<BR><br />
<BR><br />
<!--TOC subsection Target mass--><br />
<br />
<H3>6.4.1&nbsp;&nbsp;Target mass</H3><!--SEC END --><br />
<br />
Retain the solution with mass closest to 175. It biases the event.<BR><br />
<BR><br />
<!--TOC subsection Reverse boost--><br />
<br />
<H3>6.4.2&nbsp;&nbsp;Reverse boost</H3><!--SEC END --><br />
<br />
Boost all the decay particles back to the top frame and select the couple close to the back-to-back configuration. It does not work very well (jet scale might be a problem).<BR><br />
<BR><br />
<!--TOC subsection Highest Pt--><br />
<br />
<H3>6.4.3&nbsp;&nbsp;Highest Pt</H3><!--SEC END --><br />
<br />
Select the top with the highest pt. Works well, but the physics of it escapes me.<BR><br />
<BR><br />
<!--TOC section Systematics--><br />
<br />
<H2>6.5&nbsp;&nbsp;Systematics</H2><!--SEC END --><br />
<br />
<!--TOC subsection Minimum bias--><br />
<br />
<H3>6.5.1&nbsp;&nbsp;Minimum bias</H3><!--SEC END --><br />
<br />
Minimum bias events are events where the colliding protons undergo a soft elastic collisions or a soft parton collision (diffractive events). Occasionally, a soft parton collision might &quot;fluctuate&quot; to result in an event with high enough <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I> to be measured by the detector.<BR><br />
<BR><br />
Underlying events are defined as the sum of all types of events (beam remnants, ISR, secondary parton collisions) which happen at the same time of hard inelastic parton scattering. In the first approssimation, underlying events and minimum bias events are assumed to be governed by the same physical model. However, there can be significant differences, since color interactions between the hard scattering and the underlying events might occur, modifying the spectra of the two classes of events.<br />
At the detector level, underlying events generate extra tracks in the detector and deposit energy in the calorimeter, thus degrading the measurement of the hard scattering. Several studies have been performed to evaluate the effect of underlying events by modelling minimum bias in Montecarlo generators and using the same model to generate underlying events.<BR><br />
<BR><br />
In PYTHIA, the model of minimum bias is the following: the number of underlying events is given by the ration between the cross section for &quot;hard&quot; minimum bias events divided by the cross-section of total, inelastic non-diffractive soft events: <FONT >s</FONT><FONT SIZE=2><I><SUB>hard</SUB></I></FONT>(<I>p</I><FONT SIZE=2><SUB><FONT >^</FONT> <I>min</I></SUB></FONT>)/<FONT >s</FONT><FONT SIZE=2><I><SUB>nd</SUB></I></FONT>(<I>s</I>). While <I>p</I><FONT SIZE=2><SUB><FONT >^</FONT> <I>min</I></SUB></FONT> in principle should be zero, in practise a cut off must be included to prevent the aforementioned ratio to diverge. The minimum momentum applicable is calculated at run-time by PYHTIA with the following formula: <DIV ALIGN=center><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR VALIGN=middle><TD NOWRAP><I>p</I><FONT SIZE=2><SUB><FONT >^</FONT> <I>min</I></SUB></FONT>(<I>s</I>)=<FONT >p</FONT><FONT SIZE=2><SUB>82</SUB></FONT></TD><br />
<TD NOWRAP><FONT ><br />
/<BR><br />
|<BR><br />
|<BR><br />
\ </FONT></TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center><I>E<FONT SIZE=2><SUB>cm</SUB></FONT></I></TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><FONT >p</FONT><FONT SIZE=2><SUB>89</SUB></FONT></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP><FONT ><br />
\ <BR><br />
|<BR><br />
|<BR><br />
/</FONT></TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD ALIGN=left NOWRAP><FONT SIZE=2><FONT >p</FONT><SUB>90</SUB></FONT></TD><br />
</TR><br />
<TR><TD ALIGN=left><BR><br />
<BR><br />
<BR><br />
</TD><br />
</TR><br />
<TR><TD ALIGN=left NOWRAP>&nbsp;</TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP>,</TD><br />
</TR></TABLE></DIV> where the parameters <FONT >p</FONT><FONT SIZE=2><I><SUB>i</SUB></I></FONT> are defined in pythia by PARP(I). The physical meaning of this formula is that when the exchanged momentum between the scattering parton is low, the exchanged gluon cannot resolve the individual colour of the partons, reducing the coupling constant. This screening effect limits the cross-section at low momenta.<BR><br />
<BR><br />
The effect of the impact parameter on the minimum bias collision is parametrized by a double-gaussian parton density: <DIV ALIGN=center><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR VALIGN=middle><TD NOWRAP><FONT >r</FONT>(<I>r</I>)<FONT >&mu;</FONT></TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center>1-<FONT >b</FONT></TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><I>a</I><FONT SIZE=2><SUB>1</SUB><SUP>3</SUP></FONT></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP>exp</TD><br />
<TD NOWRAP><FONT ><br />
/<BR><br />
|<BR><br />
|<BR><br />
\ </FONT></TD><br />
<TD NOWRAP>-</TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center><I>r</I><FONT SIZE=2><SUP>2</SUP></FONT></TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><I>a</I><FONT SIZE=2><SUB>1</SUB><SUP>2</SUP></FONT></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP><FONT ><br />
\ <BR><br />
|<BR><br />
|<BR><br />
/</FONT></TD><br />
<TD NOWRAP>+</TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center><FONT >b</FONT></TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><I>a</I><FONT SIZE=2><SUB>2</SUB><SUP>3</SUP></FONT></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP>exp</TD><br />
<TD NOWRAP><FONT ><br />
/<BR><br />
|<BR><br />
|<BR><br />
\ </FONT></TD><br />
<TD NOWRAP>-</TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center><I>r</I><FONT SIZE=2><SUP>2</SUP></FONT></TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><I>a</I><FONT SIZE=2><SUB>2</SUB><SUP>2</SUP></FONT></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP><FONT ><br />
\ <BR><br />
|<BR><br />
|<BR><br />
/</FONT></TD><br />
<TD NOWRAP>,</TD><br />
</TR></TABLE></DIV> which describes a parton model when a fraction <FONT >b</FONT> of the hadronic matter is contained inside a &quot;core&quot; the radius of which is <I>a</I><FONT SIZE=2><SUB>2</SUB></FONT>/<I>a</I><FONT SIZE=2><SUB>1</SUB></FONT> of the proton radius. This model correctly describes the multiplicity of minimum bias events: harder collisions result in smaller impact parameter, which probes high density regions where minimum bias events are more likely to happen.<BR><br />
<BR><br />
Minum bias was studied at CDF by Rick Field <EM>et al.</EM> to obtain a PYTHIA tuning capable do describe data. The method utilised at CDF is the following: minimum bias data is generated by PYTHIA by selecting MSEL=1 (QCD high- and low-pt events). For each event, jets are reconstructed with a cone of radius 0.7; the phi space is divided into four regions, using the jet with the highest pt in the event as a reference axis. Two of the zones are labelled as &quot;transverse&quot;, and cover a region from 60 to 120 away from the jet axis. All charged particles included in these two regions are examined, event by event: the scalar pt sum of particles surviving the cut |<FONT >h</FONT>|&lt;1, <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I>&gt;0.5&nbsp;GeV is computed, and plotted against the pt of the leading jet. A similar technique can be used by examining jets instead of individual particle, but CDF used charged tracks because of the better resolution of the tracker w.r.t. the calorimeter.<BR><br />
<BR><br />
If we separate the two transverse zones in a region of low energy deposition and a region of high energy deposition and we plot separately the scalar pt sum, we obtain two separate diagrams, where the amount of high energy deposition is correlated with the &quot;hard&quot; fraction of minimum bias, while the low energy plot is correlatedwith the &quot;soft&quot; and collinear scatterings. The PYTHIA parameters were tuned to make these two plots reproduce the same plot drawn for CDF minimum bias data.<BR><br />
<BR><br />
The parametrisation obtained by Field is the following:<br />
<UL><LI>PARP(82)=2.0 regularization scale of the minimum pt in the hard scattering (D=2.1);<br />
<LI>PARP(83)=0.5 fraction of hadronic matter inside the &quot;core&quot; (D=0.5);<br />
<LI>PARP(84)=0.4 ratio between the &quot;core&quot; radius and the proton radius (D=0.2);<br />
<LI>PARP(85)=0.9 probability of having an extra interaction giving two gluons (D=0.33);<br />
<LI>PARP(86)=0.95 probabilty of having an extra interaction giving two gluons or a closed gluon loop (D=0.66);<br />
<LI>PARP(89)=1800 regularization energy of the minimum pt --- 1.8&nbsp;TeV (D=1000.);<br />
<LI>PARP(90)=0.25 exponent of the regularization function (D=0.16);<br />
<LI>PARP(67)=4.0 maximum virtuality (4× <I>Q</I><FONT SIZE=2><SUP>2</SUP></FONT>) for spacelike parton showers (D=1.);<br />
</UL><br />
The main effect of the above tuning is to increase the core size, thus reducing the parton density and thus decrease the multiplicity, and to increase initial state showers. No plot this time, I screwed up badly.<BR><br />
<BR><br />
The parametrization used at DC2, instead, is very simple:<br />
<UL><LI>MSTJ(11)=3 fragmentation scheme: use Peterson fragmentation function <DIV ALIGN=center><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR VALIGN=middle><TD NOWRAP><I>f</I>(<I>z</I>)=</TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center>1</TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR VALIGN=middle><TD NOWRAP><I>z</I></TD><br />
<TD NOWRAP><FONT ><br />
/<BR><br />
|<BR><br />
|<BR><br />
\ </FONT></TD><br />
<TD NOWRAP>1-</TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center>1</TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><I>z</I></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP>-</TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center>(-<I>c</I>)</TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center>1-<I>z</I></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP><FONT ><br />
\ <BR><br />
|<BR><br />
|<BR><br />
/</FONT></TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD ALIGN=left NOWRAP><FONT SIZE=2>2</FONT></TD><br />
</TR><br />
<TR><TD ALIGN=left><BR><br />
<BR><br />
<BR><br />
</TD><br />
</TR><br />
<TR><TD ALIGN=left NOWRAP>&nbsp;</TD><br />
</TR></TABLE></TD><br />
</TR></TABLE></TD><br />
</TR></TABLE></TD><br />
</TR></TABLE></DIV> for b- and c-quarks;<br />
<LI>MSTJ(22)=2 decay cutoff: decay particles only if <I>c</I><FONT >t</FONT>&gt;10&nbsp;mm;<br />
<LI>PARJ(54)=-0.07 <I>c</I> factor in the Peterson function for c-quarks (D=-0.05);<br />
<LI>PARJ(55)=-0.006 <I>c</I> factor in the Peterson function for b-quarks (D=-0.005);<br />
<LI>PARP(82)=1.8 regularization scale of the minimum pt in the hard scattering (D=2.1);<br />
<LI>PARP(84)=0.5 ratio between the &quot;core&quot; radius and the proton radius (D=0.2);<br />
</UL><br />
UPDATE: the Field parametrization is now default in PYTHIA. DOH!<BR><br />
<BR><br />
<!--TOC subsection Multiple interactions--><br />
<br />
<H3>6.5.2&nbsp;&nbsp;Multiple interactions</H3><!--SEC END --><br />
<br />
Using the Pileup sample instead of the normal one.<BR><br />
<BR><br />
<!--TOC subsection Missing Et--><br />
<br />
<H3>6.5.3&nbsp;&nbsp;Missing Et</H3><!--SEC END --><br />
<br />
<!--TOC subsection Jet energy scale--><br />
<br />
<H3>6.5.4&nbsp;&nbsp;Jet energy scale</H3><!--SEC END --><br />
<br />
<!--TOC subsection B-jet tagging--><br />
<br />
<H3>6.5.5&nbsp;&nbsp;B-jet tagging</H3><!--SEC END --></div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=User:Barison&diff=657User:Barison2005-10-12T12:18:40Z<p>Barison: </p>
<hr />
<div>The chapters of my doctoral thesis Mass measurements of the top quark in electroweak production channels at ATLAS<br />
<br />
[[Introduction]]<br />
<br />
[[Chapter I]]<br />
<br />
[[Chapter II]]<br />
<br />
[[Chapter III]]<br />
<br />
[[Chapter IV]]<br />
<br />
[[Chapter V]]<br />
<br />
[[Chapter VI]]<br />
<br />
[[Bibliography]]<br />
<br />
--[[User:Barison|Barison]] 14:18, 12 Oct 2005 (MET DST)</div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=Bibliography&diff=4703Bibliography2005-10-12T12:17:59Z<p>Barison: </p>
<hr />
<div>--[[User:Barison|Barison]] 14:17, 12 Oct 2005 (MET DST)<br />
<br />
<!--TOC chapter References--><br />
<br />
<H1>References</H1><!--SEC END --><br />
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<TT>http://hsi.web.cern.ch/HSI/s-link/</TT><br />
<DT><FONT COLOR=purple>[87]</FONT><DD>CERN HOLA Homepage<BR><br />
<TT>http://hsi.web.cern.ch/HSI/s-link/devices/hola/</TT><br />
<DT><FONT COLOR=purple>[88]</FONT><DD>CERN GOL Homepage<BR><br />
<TT>http://proj-gol.web.cern.ch/proj-gol/</TT><br />
<DT><FONT COLOR=purple>[89]</FONT><DD>C.Timmermans <EM>The effect of radiation background on the MDT data acquisition</EM>, 1/9/2003<BR><br />
<TT>http://www.hef.kun.nl/atlas/Pub/rates2.pdf</TT><br />
<DT><FONT COLOR=purple>[90]</FONT><DD>P.Jansweijer, <EM>MROD-In Programmers Manual v1.1</EM>, 22-10-2002<BR><br />
<TT>http://www.nikhef.nl/~peterj</TT><br />
<DT><FONT COLOR=purple>[91]</FONT><DD>Wikipedia, The Free Encyclopedia<BR><br />
<TT>http://en.wikipedia.org/wiki/tetris</TT><br />
<DT><FONT COLOR=purple>[92]</FONT><DD>CSMUX picture<BR><br />
<TT>http://www.hef.kun.nl/atlas/Pub/csmux1.pdf</TT><br />
<DT><FONT COLOR=purple>[93]</FONT><DD>P.Branchini <EM>et al.</EM>, <EM>The cosmic ray hodoscope for the MDT chamber test site in Roma Tre</EM>, ATLAS Internal Note ATL-MUON-2001-007, 7/5/2001<br />
<DT><FONT COLOR=purple>[94]</FONT><DD> C.Bacci <EM>et al.</EM>, <EM>Design of a cosmic test site for the Quality Assurance and Quality Control (QAQC) of full MDT chambers</EM>, ATLAS Internal Note MUON-NO-241, 3/6/1998<br />
<DT><FONT COLOR=purple>[95]</FONT><DD> M.Woudstra, <EM>Precision of the ATLAS muon spectrometer</EM>, NIKHEF 2002<br />
<DT><FONT COLOR=purple>[96]</FONT><DD> A.K\ nig, <EM>Status of MROD upgrade</EM>, presentation given at the Muon Electronics meeting, CERN, 13/12/2004<BR><br />
<BR><br />
<DT><FONT COLOR=purple>[97]</FONT><DD> Z.Sullivan, <EM>Understanding single-top-quark production and jets at hadron colliders</EM>, Phys. Rev. D&nbsp;70, 114012 (2004)<br />
<DT><FONT COLOR=purple>[98]</FONT><DD> <TT>http://www.pa.msu.edu/~brock/atlas-1top/EW-top-home.html</TT><br />
<DT><FONT COLOR=purple>[99]</FONT><DD> Stelzer, Sullivan, and Willenbrock [arXiv:hep-ph/9807340 11 Jul 1998]<br />
<DT><FONT COLOR=purple>[100]</FONT><DD>Stelzer, Sullivan, and Willenbrock [arXiv:hep-ph/9705398 10 Dec 1997]<br />
<DT><FONT COLOR=purple>[101]</FONT><DD> Tait and Yuan [arXiv:hep-ph/9710372 16 Oct 1997]<br />
<DT><FONT COLOR=purple>[102]</FONT><DD> Smith and Willenbrock [arXiv:hep-ph/9604223 1 Nov 1996]<br />
<DT><FONT COLOR=purple>[103]</FONT><DD> Heinson, Belyaev and Boos [arXiv:hep-ph/9612424 19 Dec 1996]<br />
<DT><FONT COLOR=purple>[104]</FONT><DD> Belyaev, Boos, and Dudko [arXiv:hep-ph/9806332 15 Jan 1999]<br />
<DT><FONT COLOR=purple>[105]</FONT><DD> Kostioukhine [ATL-PHYS-2001-006 5 Jul 2001] </DL></div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=File:Txman_411.gif&diff=4731File:Txman 411.gif2005-10-12T12:12:38Z<p>Barison: </p>
<hr />
<div></div>Barisonhttps://wiki.nikhef.nl/atlas/index.php?title=Chapter_V&diff=4725Chapter V2005-10-12T12:10:30Z<p>Barison: </p>
<hr />
<div>--[[User:Barison|Barison]] 14:10, 12 Oct 2005 (MET DST)<br />
<br />
<!--TOC chapter Event Generation and Reconstruction--><br />
<br />
<H1>Chapter&nbsp;5&nbsp;&nbsp;Event Generation and Reconstruction</H1><!--SEC END --><br />
<br />
The startup of the LHC machine will take place in April 2007, and few months will pass before a data sample is ready for analysis. In the meantime, simulations of the physics processes can be used to tune the physical analysis and forecast the results. Simulation software is composed by a chain of different elements:<br />
<UL><LI>Monte Carlo Event Generators, which compute the matrix elements of the partonic scattering at fixed order; <br />
<LI>Parton Shower Algorithms, which hadronise the scattered partons and simulate the emission of soft gluons and photons in the non-perturbative regime;<br />
<LI>Detector Simulations, which reproduce the effects of the finite resolution of the detector instrumentation on the observables. Detector simulations are of two types: <br />
<UL><LI><br />
Fast Detector Simulations, where the momenta of the particles are convoluted with parametrised smearing functions;<br />
<LI>Full Detector Simulations, where the interaction of particles with the detector is simulated at the microscopic scale --- resulting in, for example, realistic electromagnetic shower shapes, multiple scattering, etc. <br />
</UL><br />
</UL><br />
The ATLAS collaboration organizes every two years a conference to discuss issues and results of the prospective physics analyses. In preparation for the 2005 conference, held in Rome, a sample of five million events was produced with full detector simulation. As member of the ATLAS Top Physics Working Group, I had the task to generate a fraction of this sample, dedicated to single top production. In this Chapter I will outline the software framework for the simulation of physics processes in ATLAS, the systematic uncertainties in the use of fixed-order Monte Carlo generators, and the data sample for the ATLAS Physics Workshop 2005.<BR><br />
<BR><br />
<!--TOC section Monte Carlo Generators--><br />
<br />
<H2>5.1&nbsp;&nbsp;Monte Carlo Generators</H2><!--SEC END --><br />
<br />
<!--TOC subsection TopReX--><br />
<br />
<H3>5.1.1&nbsp;&nbsp;TopReX</H3><!--SEC END --><br />
<br />
The Monte Carlo generator was written with the specific intent of treating top production and decay []. provides production processes not implemented in popular Monte Carlo packages such as <FONT COLOR=navy>Pythia</FONT> or <FONT COLOR=navy>Herwig</FONT>. In particular, implements both the Feynman diagrams associated with W-gluon fusion and takes into account the spin polarization of the decay products of the top quark.<BR><br />
<BR><br />
As alread explained in Section&nbsp;1.3.2, the W-gluon fusion channel is described by the interference of LO and NLO diagrams. The NLO diagram features an extra <I>b</I> quark in the final state; however, this extra quark could be produced at LO by initial state radiation. In order to avoid the double-counting of events and produce a cross-section consistent with theory, introduces two cut-off parameters <I>k</I><FONT SIZE=2><SUB>0</SUB></FONT><U>~</U>20&nbsp;GeV and <I>p</I><FONT SIZE=2><SUB>0</SUB></FONT><U>~</U>10&nbsp;GeV. For each simulated event, the program generates the transverse momentum <I>k<FONT SIZE=2><SUB>T</SUB></FONT></I> of the light quark in the final state. If <I>k<FONT SIZE=2><SUB>T</SUB></FONT></I>&lt;<I>k</I><FONT SIZE=2><SUB>0</SUB></FONT>, the 2<FONT >&rarr;</FONT>2 process is used; otherwise the 2<FONT >&rarr;</FONT>3 process is used. For the generated event to be accepted, a check is performed on the transverse momentum <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I>(<I>b</I>) of the <I>b</I> quark. In the 2<FONT >&rarr;</FONT>2 process, the <I>b</I> is produced by soft gluon splitting, so it is required that <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I>(<I>b</I>)&lt;<I>p</I><FONT SIZE=2><SUB>0</SUB></FONT>. In the 2<FONT >&rarr;</FONT>3 process it is required that <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I>(<I>b</I>)&gt;<I>p</I><FONT SIZE=2><SUB>0</SUB></FONT>.<BR><br />
<BR><br />
The resulting sample is the sum of the two contributions []:<BR><br />
<DIV ALIGN=center><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR VALIGN=middle><TD NOWRAP><br />
<br />
<br />
<br />
<br />
</TD><br />
<TD NOWRAP><TABLE CELLSPACING=2 CELLPADDING=0><br />
<TR><TD ALIGN=right NOWRAP> <I>N</I>(<I>pp</I><FONT >&rarr;</FONT> <I>tX</I>)<FONT SIZE=2><SUB><I>t</I>-<I>channel</I></SUB></FONT></TD><br />
<TD ALIGN=center NOWRAP> =</TD><br />
<TD ALIGN=left NOWRAP> <I>N</I><FONT SIZE=2><SUP>2<FONT >&rarr;</FONT> 2</SUP></FONT>(<I>pp</I><FONT >&rarr;</FONT> <I>tqb</I>; <I>k<FONT SIZE=2><SUB>T</SUB></FONT></I>&lt;<I>k</I><FONT SIZE=2><SUB>0</SUB></FONT>; <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I>(<I>b</I>)&lt;<I>p</I><FONT SIZE=2><SUB>0</SUB></FONT>) </TD><br />
<TD ALIGN=right NOWRAP>&nbsp;</TD><br />
</TR><br />
<TR><TD ALIGN=right NOWRAP>&nbsp;</TD><br />
<TD ALIGN=center NOWRAP> +</TD><br />
<TD ALIGN=left NOWRAP> <I>N</I><FONT SIZE=2><SUP>2<FONT >&rarr;</FONT> 3</SUP></FONT>(<I>pp</I><FONT >&rarr;</FONT> <I>tqb</I>; <I>k<FONT SIZE=2><SUB>T</SUB></FONT></I>&gt;<I>k</I><FONT SIZE=2><SUB>0</SUB></FONT>; <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I>(<I>b</I>)&gt;<I>p</I><FONT SIZE=2><SUB>0</SUB></FONT>)<br />
</TD><br />
<TD ALIGN=right NOWRAP>&nbsp;</TD><br />
</TR></TABLE></TD><br />
</TR></TABLE></DIV><BR><br />
The spectrum of the extra <I>b</I> obtained by using the cut-offs is shown in Figure&nbsp;5.1.<BR><br />
<BR><br />
The hadronisation of the partons generated by is handled by an interface with <FONT COLOR=navy>Pythia</FONT>.<br />
<BLOCKQUOTE><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV><DIV ALIGN=center> [[Image:Txman_411.gif]]<br />
<BR><br />
<DIV ALIGN=center>Figure 5.1: <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I> spectrum of the additional <I>b</I> in the LO 2<FONT >&rarr;</FONT>2 (dotted curve) and the NLO 2<FONT >&rarr;</FONT>3 (dashed curve) W-gluon process. The full line shows the spectrum generated by mixing the 2<FONT >&rarr;</FONT>2 spectrum below the 10&nbsp;GeV threshold with the 2<FONT >&rarr;</FONT>3 spectrum above the threshold [].</DIV><BR><br />
<br />
</DIV><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV></BLOCKQUOTE><br />
<!--TOC subsection Comparison with NLO calculation--><br />
<br />
<H3>5.1.2&nbsp;&nbsp;Comparison with NLO calculation</H3><!--SEC END --><br />
<br />
The output of generators needs to be checked with theory in order to validate the Monte Carlo simulation. In a paper from Z.Sullivan, the events generated with <FONT COLOR=navy>Pythia</FONT> and were checked against the NLO calculations of the ZTOP package [97]. Since both MC generators implement only the LO diagram for t-channel single top production, the <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I> spectrum of the additional <I>b</I> in the generated sample is softer than the spectrum predicted by the NLO calculation.<BR><br />
<BR><br />
Using the same ZTOP results, I performed a comparison between the NLO calculations and the results. First of all, I ran ZTOP, generating the differential distributions for the t-channel. The selected set parton distribution functions was CTEQ5M and the factorization and renormalization scales were set to <I>Q</I><FONT SIZE=2><SUP>2</SUP></FONT> for light quarks and <I>Q</I><FONT SIZE=2><SUP>2</SUP></FONT>+<I>m</I><FONT SIZE=2><SUB><I>t</I></SUB><SUP>2</SUP></FONT> for the top quark. The final state included the top quark --- ZTOP does not simulate top decay --- and at least one reconstructed jet with <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I>&gt;10&nbsp;GeV, |<FONT >h</FONT>|&lt;5.<BR><br />
<BR><br />
The sample was composed of 20000 events generated with the CTEQ5L PDF (which is better suited for LO distributions), and with factorization and renormalization scales set to <I>m<FONT SIZE=2><SUB>t</SUB></FONT></I>. Since the cross-section calculated by ZTOP is for <I>kT</I> jets, not particles, I ran a jet algorithm on the particle list output by +<FONT COLOR=navy>Pythia</FONT>. I used a <I>kT</I> algorithm with cut parameter <I>D</I>=0.54 --- which is equivalent to a cone of <I>R</I>=0.4 for cone algorithms --- and with a energy threshold of 10&nbsp;GeV. Then, I proceeded to identify the jets in the list: a jet was tagged as a b-jet if a <I>b</I>-quark from the MC truth was found inside the jet cone. The b-jet from the top decay was discarded, and the <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I> spectra of the additional b-jet and the light jet were compared with the ZTOP results.<BR><br />
<BR><br />
To proceed with the comparison, first of all a multiplying factor was applied to all histograms, in order to obtain the same cross-section between and ZTOP: <DIV ALIGN=center><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR VALIGN=middle><TD NOWRAP> <I>K</I>=</TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center><FONT >s</FONT><FONT SIZE=2><I><SUB>ZTOP</SUB></I></FONT></TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><FONT >s</FONT><FONT SIZE=2><I><SUB>TopReX</SUB></I></FONT></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP>=</TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center>247.6 <I>pb</I></TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center>251.4 <I>pb</I></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP><U>~</U>0.985</TD><br />
</TR></TABLE></DIV> <br />
The <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I> and <FONT >h</FONT> distributions of the generated top quark are shown in Figures&nbsp;5.2 and 5.3. The distributions agree with the ZTOP previsions.<br />
<BLOCKQUOTE><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV><DIV ALIGN=center> [[Image:Top-pt-spectrum.gif]]<br />
<BR><br />
<DIV ALIGN=center>Figure 5.2: <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I> distribution of the top quark by NLO predictions (grey) and . The histograms are normalized to the NLO cross-section.</DIV><BR><br />
<br />
</DIV><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV></BLOCKQUOTE><br />
<BLOCKQUOTE><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV><DIV ALIGN=center> [[Image:Top-eta-spectrum.gif]]<br />
<BR><br />
<DIV ALIGN=center>Figure 5.3: <FONT >h</FONT> distribution of the top quark by NLO predictions (grey) and . The histograms are normalized to the NLO cross-section.</DIV><BR><br />
<br />
</DIV><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV></BLOCKQUOTE><br />
The <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I> spectra for light jets and b-jets are shown respectively in Figures&nbsp;5.4 and 5.5. The light jet spectrum is roughly consistent with the NLO predictions, but the b-jet spectrum has an integrated cross-section which is considerably considerably lower than the NLO predictions. The cross-section for b-jets with <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I>&gt;50&nbsp;GeV is 26% lower than the corresponding cross-section from NLO; after applying a scaling factor to compensate for the different cross-section, the <I>eta</I> spectrum is compatible with the NLO predictions. Thus, the presence of an additional b-jet in the data sample is underestimated. Since the selection cuts for the t-channel sample require the presence of only one b-jet with <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I>&gt;50&nbsp;GeV (see Section&nbsp;??), the selection efficiency from real data could be lower than from the MC sample. <br />
<BLOCKQUOTE><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV><DIV ALIGN=center> [[Image:Comp-q-pt-spectrum.gif]]<br />
<BR><br />
<DIV ALIGN=center>Figure 5.4: <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I> distribution of light jets by NLO predictions (grey) and . The histograms are normalized to the NLO cross-section.</DIV><BR><br />
<br />
</DIV><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV></BLOCKQUOTE><br />
<BLOCKQUOTE><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV><DIV ALIGN=center> [[Image:Comp-b-pt-spectrum.gif]] <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I> distribution of b-jets by NLO predictions (grey) and . The histograms are normalized to the NLO cross-section.<br />
<BR><br />
<DIV ALIGN=center>Figure 5.5: </DIV><BR><br />
<br />
</DIV><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV></BLOCKQUOTE><br />
<!--TOC section Parton Shower Algorithms--><br />
<br />
<H2>5.2&nbsp;&nbsp;Parton Shower Algorithms</H2><!--SEC END --><br />
<br />
Pythia. Brief description of the string model<BR><br />
<BR><br />
<!--TOC section Fast simulation--><br />
<br />
<H2>5.3&nbsp;&nbsp;Fast simulation</H2><!--SEC END --><br />
<br />
<!--TOC subsection ATLFAST--><br />
<br />
<H3>5.3.1&nbsp;&nbsp;ATLFAST</H3><!--SEC END --><br />
<br />
Atlfast algorithm chain:<br />
<OL type=1><LI><br />
Cell Maker and Clu. All particles are divided in cells of granularity 0.1×0.1 for the barrel and 0.2×0.2 for the endcap. The <FONT >f</FONT> angle is smeared according to two parametrizations of the magnetic fields in the barrel and in the endcap. All cells with <I>E<FONT SIZE=2><SUB>t</SUB></FONT></I>&gt;1.5&nbsp;GeV are selected as cluster seeds and listed in descending order. For each seed, all cells inside a cone of <FONT >D</FONT> <I>R</I>&lt;0.4 belong to the cluster. A cluster is accepted if the total <I>E<FONT SIZE=2><SUB>t</SUB></FONT></I> is higher than 10&nbsp;GeV and the cells used are removed from the list; thus jet energy sharing is not implemented. Atlfast can also be instr<br />
ucted to use kT or sliding window algorithms.<br />
<LI>Isolator. The isolator algorithm associates each reconstructed cluster with a particle of the MC truth. The associated particle must have |<FONT >h</FONT>|&lt;2.5, <I>p<FONT SIZE=2><SUB>t</SUB></FONT></I>&gt;10&nbsp;GeV and with a separation <FONT >D</FONT> <I>R</I>&lt;0.1 from the cluster baricenter. The particle is declared as isolated if the associated cluster is atleast <FONT >D</FONT> <I>R</I>&gt;0.4 away from the closest reconstructed cluster and the transverse energy deposited in a cone <FONT >D</FONT> <I>R</I>&lt;0.2 around the particle is lower than 10&nbsp;GeV. Photons, Electron and Muons follow the same procedure. Muons have a lower <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I> threshold (6&nbsp;GeV) and, in addition, receive a <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I> smearing. The smearing in the Inner Detector is given by <DIV ALIGN=center><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR VALIGN=middle><TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center>&delta; <I>p<FONT SIZE=2><SUB>T</SUB></FONT></I></TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><I>p<FONT SIZE=2><SUB>T</SUB></FONT></I></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP>=5×10<FONT SIZE=2><SUP>-4</SUP></FONT><FONT >&oplus;</FONT>0.012</TD><br />
</TR></TABLE></DIV> The smearing in the Muon Spectrometer is not documented.<br />
<LI>Jet Maker. Unidentified clusters are treated as hadron jets and smeared with the following (low-luminosity): <DIV ALIGN=center><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR VALIGN=middle><TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center>&delta; <I>E</I></TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><I>E</I></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP>=</TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center>0.5</TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><I>E</I></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP><FONT >&oplus;</FONT>0.03&nbsp;&nbsp;(<I>barrel</I>)</TD><br />
</TR></TABLE></DIV> <DIV ALIGN=center><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR VALIGN=middle><TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center>&delta; <I>E</I></TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><I>E</I></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP>=</TD><br />
<TD NOWRAP><TABLE CELLSPACING=0 CELLPADDING=0><br />
<TR><TD NOWRAP ALIGN=center>1.0</TD><br />
</TR><br />
<TR><TD BGCOLOR=black><TABLE BORDER=0 WIDTH="100%" CELLSPACING=0 CELLPADDING=1><TR><TD></TD></TR></TABLE></TD><br />
</TR><br />
<TR><TD NOWRAP ALIGN=center><I>E</I></TD><br />
</TR></TABLE></TD><br />
<TD NOWRAP><FONT >&oplus;</FONT>0.07&nbsp;&nbsp;(<I>endcap</I>)</TD><br />
</TR></TABLE></DIV> For high luminosity, a pile-up term of 7.5&nbsp;GeV&nbsp;<I>E<FONT SIZE=2><SUB>t</SUB></FONT></I> is added to non-empty cells. Non-isolated muons are added to jet energy too. If the total <I>E<FONT SIZE=2><SUB>t</SUB></FONT></I> exceeds 15&nbsp;GeV, the hadron jet is accepted.<br />
<LI>Missing <I>E<FONT SIZE=2><SUB>t</SUB></FONT></I>. The total <I>E<FONT SIZE=2><SUB>t</SUB></FONT></I> of the event is computed by summing the transverse momenta of identified isolated particles, hadronic jets, non-isolated muons and unused clusters and cells. The missing <I>E<FONT SIZE=2><SUB>t</SUB></FONT></I> is obtained by balancing the total <I>E<FONT SIZE=2><SUB>t</SUB></FONT></I>. Thus it contains neutrinos, SUSY particles (if any) and muons outside the detector acceptance. Since by construction ATLFAST does not add pileup to empty cells, the Missing energy might be a little higher than the true value.<br />
.<LI>Atlfast-B. This algorithm calibrates the jet energy of b-jets, on the premise that b-jets have usually a lower energy than the originating b-quark, because of the presence of leptons (and hence neutrinos) in the decay chain. This algorithm, moreover, provides a realistic b-tagging and c-tagging efficiency, as opposed to the next to 100% efficiency of the standard ATLFAST algorithm.<br />
</OL><br />
<!--TOC section Full Simulation--><br />
<br />
<H2>5.4&nbsp;&nbsp;Full Simulation</H2><!--SEC END --><br />
<br />
(Very brief, just an outline on GEANT4 and the Rome Layout)<BR><br />
<BR><br />
<!--TOC section ATHENA and the ATLAS Data Model--><br />
<br />
<H2>5.5&nbsp;&nbsp;ATHENA and the ATLAS Data Model</H2><!--SEC END --><br />
<br />
<BLOCKQUOTE><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV><DIV ALIGN=center> [[Image:Atlas_EDM.gif]]<br />
<BR><br />
<DIV ALIGN=center>Figure 5.6: </DIV><BR><br />
<br />
</DIV><DIV ALIGN=center><HR WIDTH="80%" SIZE=2></DIV></BLOCKQUOTE><br />
What do I find inside an AOD?<BR><br />
<BR><br />
<!--TOC section The Rome Data Challenge--><br />
<br />
<H2>5.6&nbsp;&nbsp;The Rome Data Challenge</H2><!--SEC END --><br />
<br />
5 Million events of various nature. Single top samples:<br />
<UL><LI>100k W-gluon fusion<br />
<LI>40k+40k Associated production<br />
<LI>60k s-channel<br />
<LI>25k+25k W-gluon fusion with FCNC decays<br />
</UL><br />
<UL><LI>W+2jets<br />
<LI>W+3jets<br />
<LI>W+4jets<br />
<LI><I>Wbb</I><br />
<LI><I>tt</I> MC@NLO<br />
</UL></div>Barison