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Section

Getting and Compiling the HepMC filter

tau1.hep.utexas.edu:

NOTE: To download the source file you need to have an access to ATLAS Subversion system.

1. Set up SVNROOT system variable that points to the ATLAS user's repository

Code Block
languagebash
export SVNROOT=svn+ssh://<username>@svn.cern.ch/reps/atlasusr

where <username> is your username on ATLAS.

2. Check-out the package from SVN

Code Block
languagebash
svn co $SVNROOT/yuraic/ttH/Projects/HepMC_Filter/trunk HepMC_Filter

This will create HepMC_Filter directory and check-out a package in it. If you want to check-out a version with certain tag, use the following command

Code Block
languagebash
svn co $SVNROOT/yuraic/ttH/Projects/HepMC_Filter/tags/HepMC_Filter-00-00-03 HepMC_Filter

This will check-out version HepMC_Filter-00-00-03 of the HepMC filter.
3. Source the setup.file

Code Block
languagebash
cd HepMC_Filter
source setup.sh

4. Compile the filter

Code Block
languagebash
gmake
gmake clean

At this stage you must have 'HepMC_Filter.exe' in the 'HepMC_Filter/bin' directory. This is the actual filter application.

Not the tau1 machine

1. You will need to download, compile and install the HepMC package. You can get more information here - https://savannah.cern.ch/projects/hepmc/

2. The global variable 'HepMC_PATH' from 'setup.sh' needs to be pointing to the directory where HepMC is installed.

3. The remaining steps are similar to the case with the tau1 machine.

Running the filter

In the 'share' subdirectory you will find 'dilepton_filter.sh'. You need to modify this file to star processing the data.

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4. The filter will stop at some point and you should be able to find skimmed files in the output directory. The running timescale depends on number of events you have in the input. In my case, it was roughly 10 mins for about 100,000 input events.

Section

Tips & Tricks

  • Filter efficiency 

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