Produce and read microDSTs using the Grid

Producing microDSTs standalone

Getting the relevant packages

SetupProject DaVinci v22r0p2 --build-env
SetupProject DaVinci v22r0p2

getpack Phys/DaVinci v22r0p2
getpack PhysSel/Ccbar
getpack Ex/MicroDSTExample

cd ${User_release_area}/DaVinci_v22r0p2/Phys/DaVinci_v22r0p2/Phys/DaVinci/cmt
gmake

cd ${User_release_area}/DaVinci_v22r0p2/Ex/MicroDSTExample/cmt
gmake

cd ${User_release_area}/DaVinci_v22r0p2/PhysSel/Ccbar/cmt
gmake

Then create a test MicroDST doing:

cd ${User_release_area}/DaVinci_v22r0p2/Ex/MicroDSTExample/job
gaudirun.py ../options/TestMicroDSTMake.py
ls -ltr

You should now see a .dst file in this directory which has just been created. For this standalone production of microDSTs take care that the following lines in the file cd ${User_release_area}/DaVinci_v22r0p2/Ex/MicroDSTExample/options/TestMicroDSTMake.py:

#importOptions( "$MICRODSTEXAMPLEROOT/options/JpsiPhiDataLFN.py")                                                                                            
importOptions( "$MICRODSTEXAMPLEROOT/options/JpsiPhiDataPFN.py")

job> gaudirun.py ../options/TestMicroDst.py

Producing microDSTs on the Grid

Become a gRidder

First obtain a Grid Certificate from the Dutch Grid CA

When you've done this, become a member of the LHCb VO by following this link.

To use the Grid from lxplus you need to copy your certificate to lxplus. You do this by copying the entire .globus directory to your home on lxplus.

job> ganga MicriDST_Ganga.py

note: set

• setenv CMTCONFIG 'slc_ia34_...' # no 64 bit machines on Grid
• job.backend() = Dirac() # use Dirac as backend
• job.outputsandbox = [] # let the uDSTs go to 'dataoutput', so Grid SE (Storage Element)

Reading microDSTs

microDSTReadingExample.py

of maak wat nieuws in Bender

Analysis

P2VV

getpack PhysFit/P2VV getpack PhysFit/P2VVPython

and use the RooFit based fit package