コード例 #1
0
        applyFakeRateWeights="4L",
        chargeSumSelections=chargeSumSelections,
        central_or_shifts=central_or_shifts,
        lep_mva_wp=lep_mva_wp,
        jet_cleaning_by_index=jet_cleaning_by_index,
        gen_matching_by_index=gen_matching_by_index,
        max_files_per_job=files_per_job,
        era=era,
        use_lumi=True,
        lumi=lumi,
        check_output_files=check_output_files,
        running_method=running_method,
        num_parallel_jobs=num_parallel_jobs,
        executable_addBackgrounds="addBackgrounds",
        executable_addBackgroundJetToTauFakes="addBackgroundLeptonFakes",
        histograms_to_fit=get_histograms_to_fit(),
        select_rle_output=True,
        dry_run=dry_run,
        isDebug=debug,
        use_nonnominal=use_nonnominal,
        hlt_filter=hlt_filter,
        use_home=use_home,
        keep_logs=keep_logs,
        blacklist=blacklist,
        submission_cmd=sys.argv,
    )

    if mode.find("forBDTtraining") != -1:
        analysis.set_BDT_training(hadTau_selection_relaxed)

    job_statistics = analysis.create()
コード例 #2
0
    leptonChargeSelections                = leptonChargeSelections,
    central_or_shifts                     = central_or_shifts,
    lep_mva_wp                            = lep_mva_wp,
    jet_cleaning_by_index                 = jet_cleaning_by_index,
    gen_matching_by_index                 = gen_matching_by_index,
    max_files_per_job                     = files_per_job,
    era                                   = era,
    use_lumi                              = True,
    lumi                                  = lumi,
    invert_ZbosonMassVeto                 = True,
    check_output_files                    = check_output_files,
    running_method                        = running_method,
    num_parallel_jobs                     = num_parallel_jobs,
    executable_addBackgrounds             = "addBackgrounds",
    executable_addBackgroundJetToTauFakes = "addBackgroundLeptonFakes",
    histograms_to_fit                     = get_histograms_to_fit("numJets", "dihiggsVisMass", "HT", "STMET"),
    select_rle_output                     = True,
    dry_run                               = dry_run,
    isDebug                               = debug,
    use_nonnominal                        = use_nonnominal,
    hlt_filter                            = hlt_filter,
    use_home                              = use_home,
    keep_logs                             = keep_logs,
    blacklist                             = blacklist,
    submission_cmd                        = sys.argv,
  )

  if mode == "forBDTtraining":
    analysis.set_BDT_training()
    #analysis.set_BDT_training(hadTau_selection_relaxed)
コード例 #3
0
        applyFakeRateWeights="2lepton",
        central_or_shifts=central_or_shifts,
        lep_mva_wp=lep_mva_wp,
        jet_cleaning_by_index=jet_cleaning_by_index,
        gen_matching_by_index=gen_matching_by_index,
        max_files_per_job=files_per_job,
        era=era,
        use_lumi=True,
        lumi=lumi,
        check_output_files=check_output_files,
        running_method=running_method,
        num_parallel_jobs=num_parallel_jobs,
        executable_addBackgrounds="addBackgrounds",
        executable_addFakes="addBackgroundLeptonFakes",
        executable_addFlips="addBackgroundLeptonFlips",
        histograms_to_fit=get_histograms_to_fit("dihiggsVisMass"),
        select_rle_output=True,
        dry_run=dry_run,
        isDebug=debug,
        use_nonnominal=use_nonnominal,
        hlt_filter=hlt_filter,
        use_home=use_home,
        keep_logs=keep_logs,
        blacklist=blacklist,
        submission_cmd=sys.argv,
    )

    if mode == "forBDTtraining":
        analysis.set_BDT_training()

    job_statistics = analysis.create()
コード例 #4
0
     "mT_lep2_WZctrl_2lss",
     "dR_ll_WZctrl_2lss",
     "max_lep_eta_WZctrl_2lss",
     "MVAOutput_allBMs",
   ]
   for histogram_to_fit in histograms_to_fit_list:
     histograms_to_fit[histogram_to_fit] = {}
 else:
   histograms_to_fit = get_histograms_to_fit(
     "EventCounter",
     "m3l",
     "dihiggsVisMass_sel",
     "mSFOS2l_closestToZ",
     "dr_LeptonIdx3_AK4jNear_Approach2",
     "dr_LeptonIdx3_2j_inclusive1j_Approach2",
     "dr_los_min",
     "dr_los_max",
     "numSameFlavor_OS_3l",
     "met_LD",
     "numElectrons",
     "numMuons",
     "nJetAK4",
     "nJetAK8_wSelectorAK8_Wjj"
   )
 
 analysis = analyzeConfig_hh_3l(
   configDir = os.path.join("/scratch-persistent", getpass.getuser(), "hhAnalysis", era, version),
   localDir  = os.path.join("/home",               getpass.getuser(), "hhAnalysis", era, version),
   outputDir = os.path.join("/hdfs/local",         getpass.getuser(), "hhAnalysis", era, version),
   executable_analyze                    = "analyze_hh_3l",
   cfgFile_analyze                       = "analyze_hh_3l_cfg.py",
   samples                               = samples,
コード例 #5
0
  
  
if __name__ == '__main__':
  logging.info(
    "Running the jobs with the following systematic uncertainties enabled: %s" % \
    ', '.join(central_or_shifts)
  )
  if not use_preselected:
    logging.warning('Running the analysis on fully inclusive samples!')

  if sample_filter:
    samples = filter_samples(samples, sample_filter)


  histograms_to_fit = get_histograms_to_fit(
    "leptonPairMass", "dihiggsVisMass", "met_LD", "dR_ll", "dR_l_Wjets_min", "dR_l_leadWjet_min", "dR_l_Wjets_max", "dR_l_leadWjet_max", "dR_2j_fromW1", "mT_lep1_met",
     "lep1_conePt", "lep2_conePt", "mindr_lep1_jet", "mindr_lep2_jet", "HT", "mht", "mass_2j_fromW1"
  )
    
  analysis = analyzeConfig_hh_2lss_leq1tau(
    configDir = os.path.join("/scratch-persistent", getpass.getuser(), "hhAnalysis", era, version),
    localDir  = os.path.join("/home",               getpass.getuser(), "hhAnalysis", era, version),
    outputDir = os.path.join("/hdfs/local",         getpass.getuser(), "hhAnalysis", era, version),
    executable_analyze                    = "analyze_hh_2lss_leq1tau",
    cfgFile_analyze                       = "analyze_hh_2lss_leq1tau_cfg.py",
    samples                               = samples,
    hadTauVeto_selection                  = hadTau_selection_veto,
    applyFakeRateWeights                  = "2lepton",
    central_or_shifts                     = central_or_shifts,
    lep_mva_wp                            = lep_mva_wp,
    jet_cleaning_by_index                 = jet_cleaning_by_index,
    gen_matching_by_index                 = gen_matching_by_index,