NIKHEF PAT workshop Oct2006

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Pre-Tutorial

  • This pre-Tutorial is copy of the one given by Ketevi A. Assamagan, adapted to work in 12.0.2
  • here is a link to other Tutorials by Ketevi, and other usful PAT links:

PAT

  • Please follow the following pre-Tutorial before the date of the Workshop. It is a very straight forward, tutorial and will help to set up the athena enviroment for the workshop, so we can focus our time in more interested things

Pre-Tutorial link

Event Selection

First we're going to generate a new AAN that we'll use later for selection. 

cd ~scratch0/Workshop/
source setup.sh -tag=12.0.2,opt
cd 12.0.2/PhysicsAnalysis/AnalysisCommon/UserAnalysis
cp ~ordonez/public/Workshop_files/src/AnalysisSkeleton.cxx src/.
cp ~ordonez/public/Workshop_files/UserAnalysis/AnalysisSkeleton.h UserAnalysis/.
cd cmt
gamke
cd ..
mkdir run2
cd run2
cp ~ordonez/public/Workshop_files/run2/AnalysisSkeleton_jobOptions.py .
cp ~ordonez/public/Workshop_files/data2/PoolFileCatalog.xml .
cp ~ordonez/public/Workshop_files/data2/mc11.004202.ZmumuJimmy.recon.AOD.v11000401.py .
athena AnalysisSkeleton_jobOptions.py | tee athenaOut_AnalysisSkeleton.log

This will generate the file AnalysisSkeleton.aan.root.

Event Selection using TAG

  • First we generate our own TAG.
  • Still in the new Run directory:
cp ~ordonez/public/Workshop_files/run2/Main_topOptions.py .
  • Edit Main_topOptions.py and uncomment the line
### Create TAG file
doWriteTAG=True

athena Main_topOptions.py | tee athenaOut.log
  • This will generate the file called ZmumuOnAOD_TAG.root
  • Now we are ready to run our algorithms with a TAG selection on the fly. Edit Main_topOptions.py again comment out:
#doWriteTAG=True
  • and uncomment
doRunAODwithSelection=True

and

useTag=True
  • Copy:
cp ~ordonez/public/Workshop_files/run2/ZmumuOnAOD_new_jobOptions.py .
  • And run again. Note that only will run the events that satisfy the query:

EventSelector.Query = "NLooseMuon>0 && NLooseMuon<3 && abs(LooseMuonEta1)<2.5 && abs(LooseMuonEta2)<2.5 && LooseMuonPt2>10000 && LooseMuonPt2>10000" 


athena Main_topOptions.py | tee athenaOut.log
  • As an output you have ZmumuOnAOD_withTAGSelection.aan.root. You can have a look at it in root to make sure that the query has been satisfied
  • Now we'll rewrite our own AOD containeing only the events selected. We'll do it for only 50 events to gain some time
  • Edit again Main_topOptions.py and change:
TheApp.EvtMax = 500

to

TheApp.EvtMax = 50
  • Comment out
#doRunAODwithSelection=True
  • uncomment:
doRewriteAOD=True

and run once more 

athena Main_topOptions.py | tee athenaOut.log

You'll see a new Zmumu_new_AOD.root file has been created

Event Selection using AAN

  • Follow as in the previous section but useANN=True instead of useTAG=True. In the end you should have the following two files:


Interactive Analysis in ATHENA

  • In this exercise, we will see how to do interactive analysis in ATHENA, how to browse the Raw Data in the AOD. Proceed as follows:
get_files Interactive_topO.py
  • Edit Interactive_topO.py and replace this line
EventSelector.InputCollections = [ "AOD.pool.root" ]
  • with this line:
include ( "mc11.004202.ZmumuJimmy.recon.AOD.v11000401.py" )
  • run
athena -i Interactive_topO.py
  • Initialize application manager
athena>theApp.initialize()
  • Run 1 event
athena>theApp.nextEvent()
  • Retrieve Muons from AOD
athena>mcon = PyParticleTools.getMuons("MuidMuonCollection")
  • Get the first muon
athena>m = mcon[0]
  • Get a list of methods
athena>dir(m)
  • See pT
athena>m.pt()
  • Get TrackParticle via ElementLink
athena>tp = m.track()
athena>dir(tp)
athena>tp.pt()
  • Retrieve the MC Truth
athena>mcc = PyTruthTools.getMcEvents("TruthEvent")
athena>mc = mcc[0]
athena>mc.alphaQCD()
  • Dump Data Store
athena>dumpSG()
  • Run next event
athena>theApp.nextEvent()

Rewind event counter 

athena>theApp.seek(0)
  • See pT distribution of muons
athena> plot("MuonContainer#MuidMuonCollection","$x.pt()",nEvent=5)

TriggerAware Analyis

Analysis with the EventView

  • Due to the time I won't cover this section during the Workshop. But now you should have the basic knowledge requiered to understand it. You can learn about the Event View here

Analysis on the GRID

  • In the following examples we'll run on Zmumu datasets.
  • This will be a brief introduction to GRID tools for those of you who already went through the trouble of getting a GRID certificate.
  • First we should set up DQ2 tools:
source /afs/usatlas.bnl.gov/Grid/Don-Quijote/dq2_user_client/setup.csh.CERN

PANDA/PATHENA

  • For further details visit panda wiki
  • Setup PATHENA :
cd ~/scratch0/Workshop/12.0.2/PhysicsAnalysis/AnalysisCommon/UserAnalysis
cvs update -r UserAnalysis-00-08-13 -A python
cvs update -r UserAnalysis-00-08-13 -A share/pathena
cvs update -r UserAnalysis-00-08-13 -A share/pathena_util
cvs update -r UserAnalysis-00-08-13 -A share/ConfigExtractor.py
cd cmt
source setup.sh
gmake
cd ../run
  • run pathena

Note: change user.GustavoOrdonezSanz.00008.AAN.root with an appropiate name!! 

pathena ZmumuOnAOD_jobOptions.py --inDS 'csc11.005145.PythiaZmumu.recon.AOD.v11004103' --outDS \
'user.GustavoOrdonezSanz.00008.AAN.root'

GANGA

  • For further details vistit ganga wiki
  • A very simple example of how to use panda move to your ${HOME} directory and do:
export PATH=$PATH:/afs/cern.ch/sw/ganga/install/slc3_gcc323/4.2.0-beta7/bin/

or 

setenv PATH /afs/cern.ch/sw/ganga/install/slc3_gcc323/4.2.0-beta7/bin/:${PATH}
  • Generate a ${HOME}/.gangarc with
ganga -g
  • Edit $HOME/.gangarc as follows:

1. In the section labelled [Configuration] add the line: 

      RUNTIME_PATH = GangaAtlas

2. In the section labelled [LCG] add the line: 

      VirtualOrganisation = atlas
  • Now move to the run directory again and try this:
ganga
  • Inside the Python interpreter:
j = Job()
j.application=Athena()
j.application.prepare()
j.application.option_file='$HOME/scratch0/Workshop/12.0.2/PhysicsAnalysis/AnalysisCommon/UserAnalysis/run/ZmumuOnAOD_jobOptions.py'
j.inputdata=DQ2Dataset()
j.inputdata.type='DQ2_LOCAL'
j.inputdata.dataset='csc11.005145.PythiaZmumu.recon.AOD.v11004103'
j.outputdata=DQ2OutputDataset()
j.outputdata.outputdata=['ZmumuOnAOD.aan.root']
j.backend=LCG()
j.submit()

DQ2 Tools

  • For furhter details visit DQ2 wiki
  • This tools make your life easier when working on the GRID
dq2_ls *Zmumu*AOD*
  • Have a look at the files contained in one of the sets
dq2_ls -f <datasetname>
  • change user.GustavoOrdonezSanz.00008.AAN.root for your own
dq2_get -rv -d . user.GustavoOrdonezSanz.00008.AAN.root
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