DQMAnalysisKLM.py

#!/usr/bin/env python3
 

 
import basf2
 
# Set log level.
basf2.set_log_level(basf2.LogLevel.INFO)
useful_tags = ["online"]  # add whatever is relevant for you
for tag in useful_tags:
    basf2.conditions.append_globaltag(tag)
 
# Create main path.
main = basf2.create_path()
 
# random run with reasonable statistics (check rundb.belle2.org)
exp_num = 35
run_num = 2291
exp = "0"*(4-len(str(exp_num)))+str(exp_num)
run = "0"*(6-len(str(run_num)))+str(run_num)
 
# downloaded from dqm.belle2.org
dqm_histo_file = f"hlt_dqm_histo_e{exp}r{run}.root"
 
# Input module.
main.add_module('DQMHistAnalysisInputRootFile',
                Experiment=exp_num,
                RunList=[run_num],
                FileList=[dqm_histo_file],
                SelectHistograms=['KLM/*', 'KLMEfficiencyDQM/*', 'DAQ/*', 'DQMInfo/*'])
 
# Plot some canvases from Input
main.add_module("DQMHistAutoCanvas",
                IncludeFolders=["KLM", "KLMEfficiencyDQM"])
 
# used by DQMHistAnalysisKLM2 for calculating eff. ratios
reference = basf2.register_module('DQMHistReference')
reference.param('ReferenceFile', 'refHisto.root')  # also obtained from dqm.belle2.org
main.add_module(reference)
 
# DQM's KLM analysis module.
main.add_module('DQMHistAnalysisKLM')  # occupancies and timing related
main.add_module('DQMHistAnalysisKLM2')  # layer eff. measurement via muon tracks
 
# Output module.
main.add_module('DQMHistAnalysisOutputFile',
                OutputFolder="./",
                Filename=f'KLMDQMAnalysed_hlt_{exp}_{run}.root',
                SaveHistos=False,
                SaveCanvases=True)
 
# Process main path.
basf2.process(main, calculateStatistics=True)
 
# Print modules' statistics.
print(basf2.statistics)