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plot_GENSIM.py
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plot_GENSIM.py
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#! /usr/bin/env python
# Author: Izaak Neutelings (June 2022)
# Description: Compare distributions in GENSIM tuples
# Instructions
# cd ../PicoProducer/utils
# ./convertGENSIM.py GENSIM_*.root -o GENSIM_converted.root
# cd ../../Plotter/
# ./plot_GENSIM.py
import os
from TauFW.common.tools.log import bold
from TauFW.common.tools.math import frange
import TauFW.Plotter.plot.Plot as _Plot
import TauFW.Plotter.plot.CMSStyle as CMSStyle
from TauFW.Plotter.plot.Plot import Plot, deletehist
from TauFW.Plotter.plot.Plot import LOG as PLOG
from TauFW.Plotter.sample.utils import LOG, STYLE, ensuredir, ensurelist, ensureTFile,\
setera, Sel, Var
from ROOT import TChain, kBlack, kRed, kBlue, kAzure, kGreen, kOrange, kMagenta, kYellow
colors = [ kRed+1, kBlue, kGreen+2, ]
# colors = [ kBlack, kRed+1, kAzure+5, kGreen+2, kOrange+1, kMagenta-4, kAzure+10, kOrange+10,
# kRed+2, kAzure+5, kOrange-5, kGreen+2, kMagenta+2, kYellow+2,
# kRed-7, kAzure-4, kOrange+6, kGreen-2, kMagenta-3, kYellow-2 ] #kViolet
class Sample:
"""Container class for sample files."""
def __init__(self,name,title,fnames,tree=True,tname='event',
data=False,cut=None,nfilemax=-1,scale=1,verb=0):
fnames = ensurelist(fnames)
for i, fname in enumerate(fnames): # expand glob patterns
if any(c in fname for c in ['*','[',']']):
if verb>=2:
print(">>> Sample.__init__: Expanding %r..."%(fname))
fnames.insert(i,glob.glob(fname))
if nfilemax>0 and len(fnames)>nfilemax:
fnames = fnames[:nfilemax]
self.name = name
self.title = title
self.fnames = fnames
self.files = { }
self.tree = None
self.cut = cut # extra cut
self.scale = scale
self.isdata = data
if verb>=1:
print(">>> Sample %r (%r):"%(self.name,self.title))
for fname in fnames:
print(">>> %s"%(fname))
if tree:
self.gettree(tname,verb=verb)
def getfiles(self,verb=0):
for fname in self.fnames:
file = self.files.get(fname,None)
if not file:
file = ensureTFile(fname,'READ',verb=verb)
self.files[fname] = file
yield file
def closefiles(self,verb=0):
for fname, file in self.files.items():
if file:
if verb>=1:
print(">>> Sample.close: Closing %s..."%(file.GetPath()))
file.Close()
self.files = { } # reset
def gettree(self,tname='Events',refresh=False,verb=0):
if not refresh and self.tree:
return self.tree
chain = TChain(tname)
if verb>=1:
print(">>> gettree(%r)"%(tname))
for fname in self.fnames:
if verb>=1:
print(">>> Adding %s..."%(fname))
chain.Add(fname)
self.tree = chain
if verb>=2:
print(">>> Sample.gettree: Number of entries: %5s over %s files for %s"%(self.tree.GetEntries(),len(self.fnames),self.name))
return chain
def gethist_from_file(self,hname,title=None,verb=0):
hist = None
for file in self.getfiles(verb=verb):
if hist:
hist_ = file.Get(hname)
hist.Add(hist_)
else:
hist = file.Get(hname)
if not hist:
file.ls()
raise IOError("Could not find %r in file %s"%(hname,file.GetPath()))
hist.SetDirectory(0)
hist.SetTitle(title)
if self.scale!=1:
#print ">>> Sample.gethists: Scaling %s by %s"%(hname,self.scale)
hist.Scale(self.scale)
return hist
def gethist(self,variable,selection,hname="$VAR_$NAME",verb=0):
hname = hname.replace('$VAR',variable.filename).replace('$NAME',self.name)
hist = variable.gethist(hname,self.title,sumw2=True)
hist.SetDirectory(0)
varexp = variable.drawcmd(hname)
if not isinstance(selection,str):
selection = selection.selection
if self.cut:
selection += " && "+self.cut
if verb>=1:
print(">>> %s.Draw(%r,%r)"%(tree.GetName(),varexp,selection))
out = self.tree.Draw(varexp,selection,'HIST')
if self.scale!=1:
hist.Scale(self.scale)
return hist
def gethists(self,variables,selection,hname="$VAR_$NAME",verb=0):
varexps = [ ]
hists = [ ]
if not isinstance(selection,str):
selection = selection.selection
if self.cut:
selection += " && "+self.cut
for var in variables:
hname_ = hname.replace('$VAR',var.filename).replace('$NAME',self.name)
hist = var.gethist(hname_,self.title,sumw2=True)
varexp = var.drawcmd(hname_)
hist.SetDirectory(0)
hists.append(hist)
varexps.append(varexp)
if verb>=2:
print(">>> Sample.gethists: %r, %r"%(varexp,selection))
out = self.tree.MultiDraw(varexps,selection,'HIST',hists=hists,verbosity=verb)
if self.scale!=1:
for hist in hists:
hist.Scale(self.scale)
return hists
# VARIABLES
qlabels = ['','#minus1','','#plus1','','','']
bins_st = list(range(0,300,100)) + [300,500,1000,2000]
bins_met1 = list(range(0,400,40)) + [400,450,500,600,700,800,1000]
bins_met2 = list(range(0,600,50)) + [600,700,800,1000]
bins_met3 = list(range(0,800,50)) + [900,1000,1200,1500]
bins_jpt1 = list(range(0,1200,100)) + [1200,1500,2500]
bins_jpt2 = list(range(10,50,10)) + [50,70,100,150,300] #,1500,2500]
bins_tpt1 = list(range(0,1200,200)) + [1200,1500,2000,2800]
bins_pt1 = list(range(0,780,60)) + [780,860,1000,1400]
bins_pt2 = list(range(0,1040,80)) + [1040,1200,1600]
bins_pt3 = list(range(0,1040,80)) + [1040,1200,1500,1600,2000]
bins_pt = list(range(0,600,60)) + list(range(600,1000,100)) + [1000,1200,1500,2000]
bins_ptvis = list(range(0,200,40)) + list(range(200,400,50)) + [400,500,800,1000,1500]
bins_eta = [-6.0,-4.0] + frange(-2.5,2.5,0.5) + [2.5,4.0,6.0]
bins_dR = [0,0.5,1.0,1.4,1.7] + frange(2.0,4.0,0.2) + [4.0,4.3,4.7,5.2,6.0]
bins_dphi = [-3.15,-2.8,-2.6,-2.4,-2.2,-2.0,-1.7,-1.3,-0.9,-0.3,0.3,0.9,1.3,1.7,2.0,2.2,2.4,2.6,2.8,3.15]
pt = "p_{#lower[-0.25]{T}}"
#pt2 = "p_{#kern[-0.2]{#lower[-0.25]{T}}}"
jpt = "p_{#lower[-0.32]{T}}^{#lower[0.24]{jet}}"
sumjet = "#lower[-0.40]{#scale[0.68]{#sum}}#kern[0.009]{#lower[-0.09]{%s (%s > 30 GeV, |#eta| < 4.7) [GeV]}}"%(jpt,jpt)
comvars = [ # common variables
# Var('ntau', 7, 0, 7, title="Number of #tau leptons", ),
# ###Var('ntgen', 7, 0, 7, title="Number of top quarks", ),
# Var('ntau20', 7, 0, 7, title="Number of #tau leptons (%s > 20 GeV, |#eta| < 2.5)"%pt ),
# Var('ntau50', 7, 0, 7, title="Number of #tau leptons (%s > 50 GeV, |#eta| < 2.5)"%pt ),
# Var('tau1_pt', 20, 0, 1200, title="Leading tau "+pt ),
# Var('tau1_pt', 15, 0, 600, title="Leading tau "+pt, fname="$VAR_zoom" ),
# Var('tau1_pt', bins_tpt1, title="Leading tau "+pt, logy=True, ymin=1e-7, fname="$VAR_log" ),
# Var('tau1_ptvis', 20, 0, 1200, title="Leading tau %s^{#lower[0.25]{vis}}"%pt ),
# Var('tau1_ptvis', 15, 0, 600, title="Leading tau %s^{#lower[0.25]{vis}}"%pt, fname="$VAR_zoom" ),
# Var('tau2_pt', 20, 0, 1200, title="Subleading tau "+pt ),
# Var('tau2_pt', 15, 0, 600, title="Subleading tau "+pt, fname="$VAR_zoom" ),
# Var('tau2_pt', bins_tpt1, title="Subleading tau "+pt, logy=True, ymin=1e-7, fname="$VAR_log" ),
# Var('tau2_ptvis', 20, 0, 1200, title="Subleading tau %s^{#lower[0.25]{vis}}"%pt ),
# Var('tau2_ptvis', 15, 0, 600, title="Subleading tau %s^{#lower[0.25]{vis}}"%pt, fname="$VAR_zoom" ),
# Var('tau1_eta', 24, -6, 6, title="Leading #tau lepton eta", ymargin=1.44, ncol=2, pos='LL' ),
# Var('tau1_eta', bins_eta, title="Leading #tau lepton eta", ymargin=1.44, ncol=2, pos='LL', fname="$VAR_rebin" ),
# Var('abs(tau1_eta)', 10, 0, 5, title="Leading #tau lepton |eta|", fname="tau1_eta_abs" ),
# Var('tau2_eta', 24, -6, 6, title="Subleading #tau lepton eta", ymargin=1.44, ncol=2, pos='LL' ),
# Var('tau2_eta', bins_eta, title="Subleading #tau lepton eta", ymargin=1.44, ncol=2, pos='LL', fname="$VAR_rebin" ),
# Var('abs(tau2_eta)', 10, 0, 5, title="Subleading #tau lepton |eta|", fname="tau2_eta_abs" ),
# Var('m_ll', 25, 0, 2500, title="m_{#lower[-0.06]{#tau#tau}}", units='GeV' ),
# Var('m_ll', 20, 0, 1200, title="m_{#lower[-0.06]{#tau#tau}}", units='GeV', fname="$VAR_zoom" ),
# Var('mvis_ll', 25, 0, 2500, title="m^{#lower[0.15]{vis}}_{#lower[-0.06]{#tau#tau}}", units='GeV' ),
# Var('mvis_ll', 20, 0, 1200, title="m^{#lower[0.15]{vis}}_{#lower[-0.06]{#tau#tau}}", units='GeV', fname="$VAR_zoom" ),
# Var('dr_ll', bins_dR, title="#DeltaR_{#lower[-0.15]{#tau#tau}}", ymargin=1.44, ncol=2, pos='LL' ),
# Var('deta_ll', bins_eta, title="#Delta#eta_{#lower[-0.25]{#tau#tau}}", ymargin=1.44, ncol=2, pos='LL' ),
# Var('dphi_ll', 15, -3.142, 3.142, title="#Delta#phi_{#lower[-0.25]{#tau#tau}}", ymargin=1.2, pos='Cy=0.85' ),
# Var('nbgen', 7, 0, 7, title="Number of b quarks" ),
# Var('nbgen30', 7, 0, 7, title="Number of b quarks (%s > 30 GeV, |#eta| < 2.5)"%pt ),
# Var('nbgen50', 7, 0, 7, title="Number of b quarks (%s > 50 GeV, |#eta| < 2.5)"%pt ),
Var('njet', 9, 0, 9, title="Number of gen. jets (%s > 30 GeV, |eta| < 4.7)"%pt ),
Var('njet50', 9, 0, 9, title="Number of gen. jets (%s > 50 GeV, |eta| < 4.7)"%pt ),
Var('ncjet', 9, 0, 9, title="Number of gen. jets (%s > 30 GeV, |eta| < 2.5)"%pt ),
# Var('jpt1', 40, 0, 2000, title="Leading gen. jet "+pt ),
# Var('jpt1', 30, 0, 1200, title="Leading gen. jet "+pt, fname="$VAR_zoom" ),
# Var('jpt1', 20, 0, 400, title="Leading gen. jet "+pt, fname="$VAR_zoom2" ),
# ###Var('jpt1', bins_jpt2, title="Leading gen. jet "+pt, fname="$VAR_zoom2" ),
# ###Var('jpt1', bins_jpt1, title="Leading gen. jet "+pt, logy=True, ymin=1e-5, fname="$VAR_log" ),
# Var('jeta1', 24, -6, 6, title="Leading gen. jet eta", ymargin=1.44, ncol=2, pos='LL' ),
# Var('jeta1', bins_eta, title="Leading gen. jet eta", ymargin=1.44, ncol=2, pos='LL', fname="$VAR_rebin" ),
# Var('abs(jeta1)', 10, 0, 5, title="Leading gen. jet |eta|", fname="jeta1_abs" ),
# Var('jpt2', 40, 0, 2000, title="Subleading gen. jet "+pt ),
# Var('jpt2', 30, 0, 1200, title="Subleading gen. jet "+pt, fname="$VAR_zoom" ),
# Var('jpt2', 20, 0, 400, title="Subleading gen. jet "+pt, fname="$VAR_zoom2" ),
# ###Var('jpt2', bins_jpt2, title="Subleading gen. jet "+pt, fname="$VAR_zoom2" ),
# ###Var('jpt2', bins_jpt1, title="Subleading gen. jet "+pt, logy=True, logyrange=6, fname="$VAR_log" ),
# Var('jeta2', 24, -6, 6, title="Subleading gen. jet eta", ymargin=1.44, ncol=2, pos='LL' ),
# Var('jeta2', bins_eta, title="Subleading gen. jet eta", ymargin=1.44, ncol=2, pos='LL', fname="$VAR_rebin" ),
# Var('abs(jeta2)', 10, 0, 5, title="Subleading gen. jet |eta|", fname="jeta2_abs" ),
# Var('met', 25, 0, 1000, title="MET" ),
# Var('met', 26, 0, 400, title="MET", fname="$VAR_zoom" ),
# Var('sumjet', 50, 0, 4000, title=sumjet, units=False ),
# Var('sumjet', 20, 0, 400, title=sumjet, units=False, fname="$VAR_zoom" ),
# Var('st', bins_st, title="S_{#lower[-0.2]{T}}", logy=True, ymin=1e-8, addOverflowToLastBin=True ),
# Var('stmet', bins_st, title="S_{#lower[-0.2]{T}}^{MET}", logy=True, ymin=1e-8, addOverflowToLastBin=True ),
]
jetvars = [
Var('pt', bins_pt1, title="Generator jet "+pt, fname="jet_pt" ),
Var('pt', 30, 0, 1200, title="Generator jet "+pt, fname="jet_pt_zoom" ),
Var('eta', bins_eta, title="Generator jet eta", fname="jet_eta", ymargin=1.44, ncol=2, pos='LL' ),
]
varsets = [
# ( 'event', [
# ( Sel("ntgen==0",title="LQ -> btau",weight='weight',fname=""),
# comvars),
# ###( Sel("ntgen==0 && tau1_ptvis>50 && tau2_ptvis>50 && jpt1>50 && mvis_ll>100",
# ### title="LQ -> btau, %s>50, %s>50"%(pt,jpt),weight='weight',fname=""),
# ### comvars),
# ]),
( 'mother', [
( Sel("abs(dau)==5",title="LQ -> btau",weight='weight',fname=""), [
###Var('ndau', 15, 0, 15, title="Number of daughters", fname="LQ_ndau" ),
###Var('dau', 40, -20, 20, title="LQ quark daughters", fname="LQ_dau" ),
Var('mass', 65, 0, 2600, title="LQ mass", fname="LQ_mass", ymargin=1.44, ncol=2, pos='x=0.04', rmax=2.5, logy=True ),
Var('pt', 37, 0, 2220, title="LQ "+pt, fname="LQ_pt" ),
Var('pt', bins_pt, title="LQ "+pt, fname="LQ_pt_rebin" ),
###var('pt', bins_pt, title="LQ pT (low mass)", fname="LQ_pt_lowmass", cut="mass < 500" ),
Var('eta', 24, -6, 6, title="LQ eta", fname="LQ_eta", ymargin=1.44, ncol=2, pos='x=0.04' ), #pos='BC'
###Var('eta', bins_eta, title="LQ eta", fname="LQ_eta_rebin", ymargin=1.44, ncol=2, pos='L' ), #pos='BC'
###Var('phi', 8, -3.2, 3.2, title="LQ phi", fname="LQ_phi", pos='BC' ),
Var('dr_ll', bins_dR, title="#DeltaR_{#lower[-0.15]{btau}}", fname="LQ_dr_btau", ymargin=1.44, ncol=2, pos='x=0.04' ),
Var('deta_ll', bins_eta, title="#Delta#eta_{#lower[-0.25]{btau}}", fname="LQ_deta_btau", ymargin=1.44, ncol=2, pos='x=0.04' ),
Var('dphi_ll', 15, -3.142, 3.142, title="#Delta#phi_{#lower[-0.25]{btau}}", fname="LQ_dphi_btau", ymargin=1.24, pos='Cy=0.85' ),
###Var('dphi_ll', bins_dphi, title="#Delta#phi_{#lower[-0.2]{btau}}", fname="LQ_dphi_btau", ymargin=1.3, pos='Cy=0.89' ),
]),
]),
# ( 'decay', [
# ( Sel("",title="LQ -> btau",weight='weight',fname=""), [
# Var('pid', 36, -18, 18, title="LQ daughters", fname="decay_PID", ymargin=1.44, ncol=2, pos='x=0.04' ),
# ]),
# ( Sel("abs(pid)==15",title="LQ -> btau",weight='weight',fname=""), [
# Var('pt', 40, 0, 1600, title="#tau lepton (from LQ decay) "+pt, fname="decay_pt_tau" ),
# Var('ptvis', 40, 0, 1200, title="#tau lepton (from LQ decay) %s^{#lower[0.25]{vis}}"%pt, fname="decay_ptvis_tau", ),
# Var('ptvis', bins_ptvis, title="#tau lepton (from LQ decay) %s^{#lower[0.25]{vis}}"%pt, fname="decay_ptvis_tau_rebin", ),
# Var('eta', bins_eta, title="#tau lepton (from LQ decay) eta", fname="decay_eta_tau", ymargin=1.44, ncol=2, pos='x=0.04' ),
# ###Var('phi', 8, -3.2, 3.2, title="#tau lepton (from LQ decay) phi", fname="decay_phi_tau", pos='BC' ),
# ]),
# ( Sel("abs(pid)==5",title="LQ -> btau",weight='weight',fname=""), [
# Var('pt', 40, 0, 1600, title="b quark (from LQ decay) "+pt, fname="decay_pt_b" ),
# Var('pt', bins_pt1, title="b quark (from LQ decay) "+pt, fname="decay_pt_b_rebin" ),
# Var('eta', 24, -6, 6, title="b quark (from LQ decay) eta", fname="decay_eta_b", ymargin=1.44, ncol=2, pos='x=0.04' ),
# Var('eta', bins_eta, title="b quark (from LQ decay) eta", fname="decay_eta_b_rebin", ymargin=1.44, ncol=2, pos='x=0.04' ),
# ###Var('phi', 8, -3.2, 3.2, title="b quark (from LQ decay) phi", fname="decay_phi_b", pos='BC' ),
# ]),
# ]),
# ( 'assoc', [
# ( Sel("abs(pid)==15",title="pp -> LQtau",weight='weight',fname=""), [
# Var('pt', 40, 0, 1200, title="#tau lepton (not from LQ decay) "+pt, fname="decay_pt_tau" ),
# Var('pt', bins_pt1, title="#tau lepton (not from LQ decay) "+pt, fname="assoc_pt_tau_rebin" ),
# Var('ptvis', 25, 0, 1000, title="#tau lepton (not from LQ decay) %s^{#lower[0.2]{vis}}"%pt, fname="assoc_ptvis_tau" ),
# Var('eta', 24, -6, 6, title="#tau lepton (not from LQ decay) eta", fname="assoc_eta_tau", ymargin=1.44, ncol=2, pos='x=0.04' ),
# Var('eta', bins_eta, title="#tau lepton (not from LQ decay) eta", fname="assoc_eta_tau_rebin", ymargin=1.44, ncol=2, pos='x=0.04' ),
# ###Var('phi', 8, -3.2, 3.2, title="#tau lepton (not from LQ decay) phi", fname="assoc_phi_tau", pos='BC' ),
# ]),
# ( Sel("abs(pid)==5",title="LQ -> btau",weight='weight',fname=""), [
# Var('pt', 25, 0, 250, title="b quark (not from LQ decay) "+pt, fname="assoc_pt_b" ),
# Var('eta', 20, -6, 6, title="b quark (not from LQ decay) eta", fname="assoc_eta_b", ymargin=1.2, ncol=1, pos='BC' ),
# ###Var('phi', 16, -3.2, 3.2, title="b quark (not from LQ decay) phi", fname="assoc_phi_b", pos='BC' ),
# ])
# ]),
# ( 'jet', [
# ( Sel("",title="all jets",weight='weight',fname=""), jetvars ),
# ( Sel("pt>20 && abs(eta)<2.5",title="central jets (|#eta| < 2.5)",weight='weight',fname="central"), jetvars ),
# ]),
]
def compare_LQ(name,title,samples,tag="",**kwargs):
"""Compare list of samples."""
LOG.header("compare_LQ",pre=">>>")
outdir = kwargs.get('outdir', "plots/GENSIM" )
norms = kwargs.get('norm', [True] )
exts = kwargs.get('ext', ['png'] ) # figure file extensions
verb = kwargs.get('verb', 0 )
ensuredir(outdir)
norms = ensurelist(norms)
CMSStyle.setCMSEra(era='Run 2',lumi=None,cme=13,thesis=True,extra="(CMS simulation)",verb=verb) #extra="Preliminary")
#setera(era) # set era for plot style and lumi-xsec normalization
ratio = True and False
denom = 3 # use Scalar, M = 1400 GeV in denominator
rrange = 1.0 # ratio range
# SELECTIONS
selections = [
#Sel('mutau', "ntau_hard>=2 && nmuon_tau>=1 && ntauh_hard>=1" ),
]
# PLOT from trees
for treename, selsets in varsets:
if 'LQ-t' in samples[0].name and any(s in treename for s in ['decay','mother']):
continue
print(">>>\n>>> "+bold("Using tree %r for %r"%(treename,title)))
trees = { }
for sample in samples:
sample.gettree(treename,refresh=True,verb=verb-1)
for selection, varset in selsets:
###for selection in selections:
if 'assoc' in treename and '==15' in selection.selection and any('LQ-'+p in samples[0].name for p in 'pt'):
continue
print(">>> %s: %r"%(selection.title,selection.selection))
hdict = { }
text = ', '.join([title,selection.title]) #.replace('tau',"tau_{#lower[-0.2]{h}}")
if 'nonres' in title.lower():
text = text.replace(", LQ -> btau","")
#vars = [v for v in varset if v.plotfor(selection) and selection.plotfor(v)]
for sample in samples:
if verb>=1:
print(">>> compare_LQ: Getting histogram from %s"%(sample.name))
hists = sample.gethists(varset,selection,verb=verb)
for var, hist in zip(varset,hists):
hdict.setdefault(var,[ ]).append(hist)
for var, hists in hdict.items():
for norm in norms:
ntag = '_norm' if norm else "_lumi"
fname = "%s/$VAR_%s_%s%s%s"%(outdir,name,selection.filename,tag,ntag)
lsize = _Plot._lsize*(1.5 if var.name.endswith('_q') else 1)
style = 1 #[1,1,2,1,1,1]
###ncol = 1
nxdiv = 510
pos = var.position
logyrange = var.logyrange
ymargin = var.ymargin
twidth = 1.04 if var.ncols==1 else 1.0
if var.xmax>=2000:
nxdiv = 508
if 'LQ-p' in samples[0].name: # Pair
if any(s in var.filename for s in ['njet','ncjet']):
pos = 'R'
ymargin = 1.45 if var.filename=='njet' else 1.34
elif 'LQ-s' in samples[0].name: # Single
if var.logy and "LQ_eta" in var.filename:
ymargin = 1.2
pos = 'BC'
elif 'LQ-t' in samples[0].name: # NonRes
if var.logy and "jpt" in var.filename:
logyrange = 7
###if (var.name=='eta' or '_eta' in var.name) and 'L' in pos:
### ncol = 2
### ###print var.name, ncol
if not pos:
pos = 'y=0.85'
twidth *= 1.1
elif not any(s in pos for s in 'yTB'):
pos += 'y=0.89'
plot = Plot(var,hists,norm=norm,clone=True,ratio=ratio)
plot.draw(xlabelsize=lsize,pair=True,ymargin=ymargin,denom=denom,colors=colors,
rrange=rrange,logyrange=logyrange,nxdiv=nxdiv,grid=False,width=700) #style=style,
plot.drawlegend(margin=1.2,pos=pos,twidth=twidth) #header=title) #,entries=entries)
plot.drawtext(text)
plot.saveas(fname.replace('__','_'),ext=exts) #,tag=ntag,'pdf'
plot.close()
deletehist(hists)
print(">>> ")
def main(args):
fname = None #"$PICODIR/$SAMPLE_$CHANNEL.root" # fname pattern
parallel = args.parallel
varfilter = args.varfilter
selfilter = args.selfilter
pdf = args.pdf
outdir = "plots/GENSIM"
tag = args.tag
exts = ['png','pdf'] if pdf else ['png']
verbosity = args.verbosity
# SAMPLE SETS
indir = "../PicoProducer/utils/"
samset = [
('LQ_Single','s',"Single LQ production"),
('LQ_Pair', 'p',"LQ pair production"),
('LQ_NonRes','t',"Nonres. tautau production via LQ exchange"),
]
for name, prod, title in samset:
#title = "LQ -> btau, "+title
samples = [
Sample('SLQ-%s_M600'%(prod), "Scalar, M = 600 GeV", indir+"GENSIM_converted_SLQ-%s_M600_L1p0.root"%(prod), verb=verbosity),
Sample('VLQ-%s_M600'%(prod), "Vector, M = 600 GeV", indir+"GENSIM_converted_VLQ-%s_M600_L1p0.root"%(prod), verb=verbosity),
Sample('SLQ-%s_M1400'%(prod),"Scalar, M = 1400 GeV",indir+"GENSIM_converted_SLQ-%s_M1400_L1p0.root"%(prod),verb=verbosity),
Sample('VLQ-%s_M1400'%(prod),"Vector, M = 1400 GeV",indir+"GENSIM_converted_VLQ-%s_M1400_L1p0.root"%(prod),verb=verbosity),
Sample('SLQ-%s_M2000'%(prod),"Scalar, M = 2000 GeV",indir+"GENSIM_converted_SLQ-%s_M2000_L1p0.root"%(prod),verb=verbosity),
Sample('VLQ-%s_M2000'%(prod),"Vector, M = 2000 GeV",indir+"GENSIM_converted_VLQ-%s_M2000_L1p0.root"%(prod),verb=verbosity),
]
compare_LQ(name,title,samples,tag=tag,outdir=outdir,ext=exts,verb=verbosity)
if __name__ == "__main__":
import sys
from argparse import ArgumentParser
description = """Simple plotting script to compare distributions in GENSIM tuples"""
parser = ArgumentParser(prog="plot_compare",description=description,epilog="Good luck!")
parser.add_argument('-V', '--var', dest='varfilter', nargs='+',
help="only plot the variables passing this filter (glob patterns allowed)" )
parser.add_argument('-S', '--sel', dest='selfilter', nargs='+',
help="only plot the selection passing this filter (glob patterns allowed)" )
parser.add_argument('-s', '--serial', dest='parallel', action='store_false',
help="run Tree::MultiDraw serial instead of in parallel" )
parser.add_argument('-p', '--pdf', dest='pdf', action='store_true',
help="create pdf version of each plot" )
parser.add_argument('-t', '--tag', default="", help="extra tag for output" )
parser.add_argument('-v', '--verbose', dest='verbosity', type=int, nargs='?', const=1, default=0, action='store',
help="set verbosity" )
args = parser.parse_args()
LOG.verbosity = args.verbosity
PLOG.verbosity = args.verbosity
main(args)
print("\n>>> Done.")