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import ROOT
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| 2 |
import ConfigParser, re
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import sys
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sys.path.append( '/afs/naf.desy.de/user/n/nowaf/CMSSW_3_3_6/src/LeptonSel/LeptonSel/rootScripts' )
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import definitions as Def
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from math import sqrt
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def main(argv):
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#import sys
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basepath = ''
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try:
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options, arguments = getopt.getopt(argv, "hp:", ["help","path="])
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except getopt.GetoptError:
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usage()
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sys.exit(2)
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for opt, arg in options:
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if opt in ("-h", "--help"):
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usage()
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sys.exit(2)
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elif opt in ("-p", "--path"):
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basepath = arg
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if basepath == '':
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print "Error! Need path to .cfg file to continue."
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sys.exit(2)
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return basepath
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def usage():
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print "Script to plot all XC study plots for the di lepton analysis"
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print "Options and arguments:"
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print "-h, --help\t\t: print this help message and exit"
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print "-p, --path\t\t: relative path to the .cfg file"
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pass
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def readTheConfig(name):
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"""
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read in the config file
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"""
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config = ConfigParser.ConfigParser()
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config.read( name )
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return config
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def getStudiedCut( name ):
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"""
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gets the studied cut out of the section name
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"""
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studied = ""
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if re.search( "EJ", name ) or re.search( "PJ", name ):
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studied = "cut on E_{shared}/E_{Jet}"
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if re.search( "dR", name ):
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studied = "max #delta R (non iso elec, jet)"
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elif re.search( "MJ", name ):
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studied = "#delta R (muon, jet)"
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return studied
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def MakeDivision( h_1, h_2, option, name ):
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"""
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divides two histograms, computes errors
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and returns the result
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"""
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#h_1.Sumw2()
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#h_2.Sumw2()
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hist = h_2.Clone()
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hist.Divide( h_1, h_2, 1., 1., option )
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hist.SetName( name )
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return hist
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def Fill( hist, option, weight, section ):
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"""
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h.SetBinContent sets the content right, but has only
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one wheighted entry then. This gives problems in dividing the
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histograms. This fill function takes care of that
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"""
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#print "hist type: ", type( hist )
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### how to set a bin declaration from a float to a
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### description like "no xclean"?
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if re.search( "EJ_dR", section ):
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if float( option ) == -1:
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option = 0.1
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else:
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if float( option ) == -1:
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option = 0
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for i in range( 0, weight ):
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hist.Fill( float( option ) )
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return hist
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def getCase( section ):
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"""
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strips the section name off the 'studied cut'
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"""
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case = section
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if re.search( "EJ_dR", section ):
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case = section.strip( "EJ_dR_" )
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elif re.search( "EJ_", section ):
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case = section.strip( "EJ_" )
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elif re.search( "MJ_", section ):
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case = section.strip( "MJ_" )
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return case
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if __name__ == "__main__":
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import getopt
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basepath = main(sys.argv[1:])
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Def.SetGlobalStyles( "emr" )
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saves = {}
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config = readTheConfig( basepath )
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hist_list_mu_eff = []
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hist_list_mu_cont = []
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hist_list_el_eff = []
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hist_list_el_cont = []
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hist_list_ph_eff = []
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hist_list_ph_cont = []
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hist_list_je_eff = []
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hist_list_je_cont = []
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case_list = []
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#hist_list_all = []
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hists = {}
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section_list = []
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order = {}
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color_list = [1,6,8,50,24,59]
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studied_cut = ''
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fout = ROOT.TFile.Open( 'studyCompare.root', "RECREATE" )
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for section in config.sections():
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print "section: ", section
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section_list.append( section )
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studied_cut = getStudiedCut( section )
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case = getCase( section )
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case_list.append( case )
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nbin = 10
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min = -0.05
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max = 0.95
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if( re.search( "EJ_dR", section ) ):
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min = 0.05
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max = 1.05
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pass
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| 170 |
h_mu_m = ROOT.TH1F( "h_mu_m" + section , "h_mu_m" ,nbin,min,max )
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h_mu_gen = ROOT.TH1F( "h_mu_gen" + section , "h_mu_gen" ,nbin,min,max )
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h_mu_nm = ROOT.TH1F( "h_mu_nm" + section , "h_mu_nm" ,nbin,min,max )
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h_mu_all = ROOT.TH1F( "h_mu_all" + section , "h_mu_all" ,nbin,min,max )
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h_el_m = ROOT.TH1F( "h_el_m" + section , "h_el_m" ,nbin,min,max )
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h_el_gen = ROOT.TH1F( "h_el_gen" + section , "h_el_gen" ,nbin,min,max )
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h_el_nm = ROOT.TH1F( "h_el_nm" + section , "h_el_nm" ,nbin,min,max )
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h_el_all = ROOT.TH1F( "h_el_all" + section , "h_el_all" ,nbin,min,max )
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h_ph_m = ROOT.TH1F( "h_ph_m" + section , "h_ph_m" ,nbin,min,max )
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h_ph_gen = ROOT.TH1F( "h_ph_gen" + section , "h_ph_gen" ,nbin,min,max )
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h_ph_nm = ROOT.TH1F( "h_ph_nm" + section , "h_ph_nm" ,nbin,min,max )
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h_ph_all = ROOT.TH1F( "h_ph_all" + section , "h_ph_all" ,nbin,min,max )
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h_je_m = ROOT.TH1F( "h_je_m" + section , "h_je_m" ,nbin,min,max )
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h_je_gen = ROOT.TH1F( "h_je_gen" + section , "h_je_gen" ,nbin,min,max )
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h_je_nm = ROOT.TH1F( "h_je_nm" + section , "h_je_nm" ,nbin,min,max )
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h_je_all = ROOT.TH1F( "h_je_all" + section , "h_je_all" ,nbin,min,max )
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#print "h_mu_gen type: ", type( h_mu_gen )
|
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h_mu_m.Sumw2()
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h_mu_gen.Sumw2()
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h_mu_nm.Sumw2()
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h_mu_all.Sumw2()
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h_el_m.Sumw2()
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h_el_gen.Sumw2()
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h_el_nm.Sumw2()
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h_el_all.Sumw2()
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h_ph_m.Sumw2()
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h_ph_gen.Sumw2()
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h_ph_nm.Sumw2()
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h_ph_all.Sumw2()
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h_je_m.Sumw2()
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h_je_gen.Sumw2()
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h_je_nm.Sumw2()
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h_je_all.Sumw2()
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#print type( h_mu_eff)
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for option in config.options( section ):
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if option == 'number':
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## order{ 1 } = LM0, order{ 2 } = LM4, ...
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order[ float( config.get( section, option ) ) ] = case
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else:
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print "option: ", option
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#print type( h_mu_m )
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if re.search( "afs", config.get( section, option ) ) or re.search( "current", config.get( section, option ) ):
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fin = Def.ReadInRootFile( config.get( section, option ) + "/studyXC.root" )
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else:
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fin = Def.ReadInRootFile( "./../test/" + config.get( section, option ) + "/studyXC.root" )
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Tree_ = fin.Get( 'StudyXC' )
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mu_all = Def.defineArray( 'i', 1 )
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mu_gen = Def.defineArray( 'i', 1 )
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mu_m = Def.defineArray( 'i', 1 )
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mu_nm = Def.defineArray( 'i', 1 )
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el_all = Def.defineArray( 'i', 1 )
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el_gen = Def.defineArray( 'i', 1 )
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el_m = Def.defineArray( 'i', 1 )
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el_nm = Def.defineArray( 'i', 1 )
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ph_all = Def.defineArray( 'i', 1 )
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ph_gen = Def.defineArray( 'i', 1 )
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ph_m = Def.defineArray( 'i', 1 )
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ph_nm = Def.defineArray( 'i', 1 )
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je_all = Def.defineArray( 'i', 1 )
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je_gen = Def.defineArray( 'i', 1 )
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je_m = Def.defineArray( 'i', 1 )
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| 240 |
je_nm = Def.defineArray( 'i', 1 )
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| 241 |
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Tree_.SetBranchAddress( "MuonsAll", mu_all )
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Tree_.SetBranchAddress( "MuonsGen", mu_gen )
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Tree_.SetBranchAddress( "MuonsNotMatched", mu_nm )
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| 245 |
Tree_.SetBranchAddress( "MuonsMatched", mu_m )
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| 246 |
Tree_.SetBranchAddress( "ElectronsAll", el_all )
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| 247 |
Tree_.SetBranchAddress( "ElectronsGen", el_gen )
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| 248 |
Tree_.SetBranchAddress( "ElectronsNotMatched", el_nm )
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| 249 |
Tree_.SetBranchAddress( "ElectronsMatched", el_m )
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| 250 |
Tree_.SetBranchAddress( "PhotonsAll", ph_all )
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| 251 |
Tree_.SetBranchAddress( "PhotonsGen", ph_gen )
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| 252 |
Tree_.SetBranchAddress( "PhotonsNotMatched", ph_nm )
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| 253 |
Tree_.SetBranchAddress( "PhotonsMatched", ph_m )
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| 254 |
Tree_.SetBranchAddress( "JetsAll", je_all )
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| 255 |
Tree_.SetBranchAddress( "JetsGen", je_gen )
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| 256 |
Tree_.SetBranchAddress( "JetsNotMatched", je_nm )
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| 257 |
Tree_.SetBranchAddress( "JetsMatched", je_m )
|
| 258 |
|
| 259 |
n_mu_all = 0
|
| 260 |
n_mu_gen = 0
|
| 261 |
n_mu_m = 0
|
| 262 |
n_mu_nm = 0
|
| 263 |
n_el_all = 0
|
| 264 |
n_el_gen = 0
|
| 265 |
n_el_m = 0
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| 266 |
n_el_nm = 0
|
| 267 |
n_ph_all = 0
|
| 268 |
n_ph_gen = 0
|
| 269 |
n_ph_m = 0
|
| 270 |
n_ph_nm = 0
|
| 271 |
n_je_all = 0
|
| 272 |
n_je_gen = 0
|
| 273 |
n_je_m = 0
|
| 274 |
n_je_nm = 0
|
| 275 |
|
| 276 |
n_bytes = 0
|
| 277 |
for ent in range( 0, Tree_.GetEntries() ):
|
| 278 |
|
| 279 |
n_bytes += Tree_.GetEntry( ent )
|
| 280 |
n_mu_all += mu_all[0]
|
| 281 |
n_mu_gen += mu_gen[0]
|
| 282 |
n_mu_m += mu_m[0]
|
| 283 |
n_mu_nm += mu_nm[0]
|
| 284 |
n_el_all += el_all[0]
|
| 285 |
n_el_gen += el_gen[0]
|
| 286 |
n_el_m += el_m[0]
|
| 287 |
n_el_nm += el_nm[0]
|
| 288 |
n_ph_all += ph_all[0]
|
| 289 |
n_ph_gen += ph_gen[0]
|
| 290 |
n_ph_m += ph_m[0]
|
| 291 |
n_ph_nm += ph_nm[0]
|
| 292 |
n_je_all += je_all[0]
|
| 293 |
n_je_gen += je_gen[0]
|
| 294 |
n_je_m += je_m[0]
|
| 295 |
n_je_nm += je_nm[0]
|
| 296 |
pass
|
| 297 |
|
| 298 |
Fill( h_mu_m, option, n_mu_m, section )
|
| 299 |
Fill( h_mu_gen, option, n_mu_gen, section )
|
| 300 |
Fill( h_mu_nm, option, n_mu_nm, section )
|
| 301 |
Fill( h_mu_all, option, n_mu_all, section )
|
| 302 |
Fill( h_el_m, option, n_el_m, section )
|
| 303 |
Fill( h_el_gen, option, n_el_gen, section )
|
| 304 |
Fill( h_el_nm, option, n_el_nm, section )
|
| 305 |
Fill( h_el_all, option, n_el_all, section )
|
| 306 |
Fill( h_ph_m, option, n_ph_m, section )
|
| 307 |
Fill( h_ph_gen, option, n_ph_gen, section )
|
| 308 |
Fill( h_ph_nm, option, n_ph_nm, section )
|
| 309 |
Fill( h_ph_all, option, n_ph_all, section )
|
| 310 |
Fill( h_je_m, option, n_je_m, section )
|
| 311 |
Fill( h_je_gen, option, n_je_gen, section )
|
| 312 |
Fill( h_je_nm, option, n_je_nm, section )
|
| 313 |
Fill( h_je_all, option, n_je_all, section )
|
| 314 |
|
| 315 |
pass
|
| 316 |
|
| 317 |
h_mu_eff = MakeDivision( h_mu_m, h_mu_gen, "B", case + "_mu_eff" )
|
| 318 |
h_mu_cont = MakeDivision( h_mu_nm, h_mu_all, "B", case + "_mu_cont" )
|
| 319 |
h_el_eff = MakeDivision( h_el_m, h_el_gen, "B", case + "_el_eff" )
|
| 320 |
h_el_cont = MakeDivision( h_el_nm, h_el_all, "B", case + "_el_cont" )
|
| 321 |
h_ph_eff = MakeDivision( h_ph_m, h_ph_gen, "B", case + "_ph_eff" )
|
| 322 |
h_ph_cont = MakeDivision( h_ph_nm, h_ph_all, "B", case + "_ph_cont" )
|
| 323 |
h_je_eff = MakeDivision( h_je_m, h_je_gen, "B", case + "_je_eff" )
|
| 324 |
h_je_cont = MakeDivision( h_je_nm, h_je_all, "B", case + "_je_cont" )
|
| 325 |
|
| 326 |
|
| 327 |
fout.cd()
|
| 328 |
|
| 329 |
h_mu_eff.Write()
|
| 330 |
h_mu_cont.Write()
|
| 331 |
h_el_eff.Write()
|
| 332 |
h_el_cont.Write()
|
| 333 |
h_ph_eff.Write()
|
| 334 |
h_ph_cont.Write()
|
| 335 |
h_je_eff.Write()
|
| 336 |
h_je_cont.Write()
|
| 337 |
|
| 338 |
|
| 339 |
#del fin
|
| 340 |
|
| 341 |
pass
|
| 342 |
pass
|
| 343 |
|
| 344 |
#for section in section_list:
|
| 345 |
# fout.cd()
|
| 346 |
# hist_list_mu_eff.append( fout.Get( section + "_mu_eff" ) )
|
| 347 |
# hist_list_mu_cont.append( fout.Get( section + "_mu_cont" ) )
|
| 348 |
# hist_list_el_eff.append( fout.Get( section + "_el_eff" ) )
|
| 349 |
# hist_list_el_cont.append( fout.Get( section + "_el_cont" ) )
|
| 350 |
# hist_list_ph_eff.append( fout.Get( section + "_ph_eff" ) )
|
| 351 |
# hist_list_ph_cont.append( fout.Get( section + "_ph_cont" ) )
|
| 352 |
# hist_list_je_eff.append( fout.Get( section + "_je_eff" ) )
|
| 353 |
# hist_list_je_cont.append( fout.Get( section + "_je_cont" ) )
|
| 354 |
|
| 355 |
fout.cd()
|
| 356 |
case_list_ordered = []
|
| 357 |
for i in range( 1, len( case_list ) + 1 ):
|
| 358 |
hist_list_mu_eff.append( fout.Get( order[i] + "_mu_eff" ) )
|
| 359 |
hist_list_mu_cont.append( fout.Get( order[i] + "_mu_cont" ) )
|
| 360 |
hist_list_el_eff.append( fout.Get( order[i] + "_el_eff" ) )
|
| 361 |
hist_list_el_cont.append( fout.Get( order[i] + "_el_cont" ) )
|
| 362 |
hist_list_ph_eff.append( fout.Get( order[i] + "_ph_eff" ) )
|
| 363 |
hist_list_ph_cont.append( fout.Get( order[i] + "_ph_cont" ) )
|
| 364 |
hist_list_je_eff.append( fout.Get( order[i] + "_je_eff" ) )
|
| 365 |
hist_list_je_cont.append( fout.Get( order[i] + "_je_cont" ) )
|
| 366 |
case_list_ordered.append( order[i] )
|
| 367 |
|
| 368 |
|
| 369 |
|
| 370 |
|
| 371 |
## draw the hists
|
| 372 |
c_mu = ROOT.TCanvas( "c_mu", "Muon" ,1,71,300,600 )
|
| 373 |
c_mu.Divide(1,2)
|
| 374 |
c_mu.cd(1)
|
| 375 |
Def.DrawSmall( c_mu, \
|
| 376 |
hist_list_mu_eff, color_list, case_list_ordered, \
|
| 377 |
studied_cut, "efficiency", "", \
|
| 378 |
False, 0, False, "ur", "muons", saves)
|
| 379 |
|
| 380 |
c_mu.cd(2)
|
| 381 |
Def.DrawSmall( c_mu, \
|
| 382 |
hist_list_mu_cont, color_list, case_list_ordered, \
|
| 383 |
studied_cut, "contamination", "", \
|
| 384 |
False, 0, False, "ur", "muons_cont", saves)
|
| 385 |
|
| 386 |
c_el = ROOT.TCanvas( "c_el", "Electron" ,1,71,300,600 )
|
| 387 |
c_el.Divide(1,2)
|
| 388 |
c_el.cd(1)
|
| 389 |
Def.DrawSmall( c_el, \
|
| 390 |
hist_list_el_eff, color_list, case_list_ordered, \
|
| 391 |
studied_cut, "efficiency", "", \
|
| 392 |
False, 0, False, "ur", "elecs", saves)
|
| 393 |
|
| 394 |
c_el.cd(2)
|
| 395 |
Def.DrawSmall( c_el, \
|
| 396 |
hist_list_el_cont, color_list, case_list_ordered, \
|
| 397 |
studied_cut, "contamination", "", \
|
| 398 |
False, 0, False, "ur", "elec_cont", saves)
|
| 399 |
|
| 400 |
|
| 401 |
c_ph = ROOT.TCanvas( "c_ph", "Photon" ,1,71,300,600 )
|
| 402 |
c_ph.Divide(1,2)
|
| 403 |
c_ph.cd(1)
|
| 404 |
Def.DrawSmall( c_ph, \
|
| 405 |
hist_list_ph_eff, color_list, case_list_ordered, \
|
| 406 |
studied_cut, "efficiency", "", \
|
| 407 |
False, 0, False, "ur", "phots", saves)
|
| 408 |
|
| 409 |
c_ph.cd(2)
|
| 410 |
Def.DrawSmall( c_ph, \
|
| 411 |
hist_list_ph_cont, color_list, case_list_ordered, \
|
| 412 |
studied_cut, "contamination", "", \
|
| 413 |
False, 0, False, "ur", "phots_cont", saves)
|
| 414 |
|
| 415 |
c_je = ROOT.TCanvas( "c_je", "Jet" ,1,71,300,600 )
|
| 416 |
c_je.Divide(1,2)
|
| 417 |
c_je.cd(1)
|
| 418 |
Def.DrawSmall( c_je, \
|
| 419 |
hist_list_je_eff, color_list, case_list_ordered, \
|
| 420 |
studied_cut, "efficiency", "", \
|
| 421 |
False, 0, False, "ur", "jets", saves)
|
| 422 |
|
| 423 |
c_je.cd(2)
|
| 424 |
Def.DrawSmall( c_je, \
|
| 425 |
hist_list_je_cont, color_list, case_list_ordered, \
|
| 426 |
studied_cut, "contamination", "", \
|
| 427 |
False, 0, False, "ur", "jets_cont", saves)
|
| 428 |
|
| 429 |
|
| 430 |
|
| 431 |
|
| 432 |
#fout.Close()
|
| 433 |
Def.DontQuit()
|
