mc.MGPy8EG_ttbar_p83_art.py

Go to the documentation of this file.

# Copyright (C) 2002-2026 CERN for the benefit of the ATLAS collaboration
 
from EvgenJobTransforms.EvgenCAConfig import EvgenConfig
 
class Sample(EvgenConfig):
 
    def setupFlags(self, flags):
        self.description = "MadGraph LO ttbar OTF with Pythia8 showering"
        self.keywords = ["ttbar", "jets"]
        self.contact = ["spyros.argyropoulos@cern.ch"]
        self.nEventsPerJob = 10000
 
    def setupProcess(self, flags):
        # MadGraph process to generate
        process_def = """
                      import model sm
                      define p = g u c d s u~ c~ d~ s~
                      define j = g u c d s u~ c~ d~ s~
                      generate p p > t t~
                      output -f
                      """
 
        # Custom settings to pass to MadGraphControl.
        # These are native MadGraph settings, not MadGraphControl settings.
        settings = { 
                    'lhe_version':'3.0', 
                    'cut_decays':'F', 
                    'pdlabel':'lhapdf',
                    'lhaid':'247000',
                    'use_syst':'False'
                    }
 
        # Run MG to prepare the LHE file for showering
        from MadGraphControl.MadGraphConfig import MadGraphCfg
        sampleConfig = MadGraphCfg(
            flags,
            process_definition=process_def,
            settings=settings,
            prepare_lhe_for_shower=True
        )
 
        # Merge Pythia8 specifying the shower configuration
        # with the A14 tune and NNPDF23LO PDF set, 
        # adding EvtGen for hadron decays on top.
        from Pythia8_i.Pythia8Config import (
            Pythia8_MadGraph_Cfg,
            Pythia8_A14_NNPDF23LO_EvtGen_Common_Cfg
        )
 
        # Pythia8_MadGraph_Cfg tells the CA to run Pythia8 reading LHE 
        # generated by MadGraph. 
        # ShowerCfg specifies which configuration
        # (tune,PDF) to use in the shower and whether EvtGen should be 
        # added on top.
        sampleConfig.merge(Pythia8_MadGraph_Cfg(
            flags,
            ShowerCfg=Pythia8_A14_NNPDF23LO_EvtGen_Common_Cfg
        ))
 
        return sampleConfig