ATLAS Support Center

1. Check out HepMC from SVN:

   svn co svn+ssh://username@atlas1.hep.anl.gov/users/svn/hpc/tools/HepMC-2.06.08 <destination_path>

2. Inside the HepMC folder run

   ./bgq-make.sh

1. Check out Pythia from SVN:

   svn co svn+ssh://username@atlas1.hep.anl.gov/users/svn/hpc/generators/pythia/v8180/bgq/trunk <destination_path>

2. Inside the Pythia folder run

   ./bgq-make.sh

1. Check out TCLAP from SVN:

   svn co svn+ssh://username@atlas1.hep.anl.gov/users/svn/hpc/tools/tclap-1.2.1 <destination_path>

2. Check out Pythia user code from SVN:

   svn co svn+ssh://username@atlas1.hep.anl.gov/users/svn/hpc/generators/pythia/usercode <destination_path>

3. Inside the usercode folder you will find different programs written to use Pythia. As of this writting there was only one:
   • alpToHepmc/runPythiaOnAlpgen.cpp which can be used to shower Alpgen events and output HepMC format
     • There is a Makefile which can be used to make an executable, be sure to edit the paths inside the Makefile to point to the HepMC/Pythia/TCLAP installations

This is the Pythia performance on ascinode.hep.anl.gov while hadronizing Alpgen Z+N-jet events.

• 'N Showered Events' are the number of events Pythia showered during the test.
• 'CPU Time' are the seconds reported by the 'time' command line that it took Pythia to run.
• 'Rate' = 'N Showered Events'/'CPU Time'
• 'Accepted Events' are the number of events that passed the Jet Matching that Pythia performs in order to avoid double counting.
• 'Acceptance Efficieny' = 'Accepted Events'/'N Showered Events'
• 'Accepted Rate' = 'Accepted Events'/'CPU Time'

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