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limit_plots.py
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limit_plots.py
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import ROOT as rt
# import root_numpy as rtnp
import csv
import re
import sys
import collections
import os
sys.argv.append(' -b- ')
from collections import OrderedDict
import uproot
import numpy as np
from histo_utilities import std_color_list, create_TGraph, find_intersect,make_smooth_graph
rt.gROOT.SetBatch(True)
import CMS_lumi, tdrstyle
a = tdrstyle.setTDRStyle()
CMS_lumi.writeExtraText = 0
tdrstyle.setTDRStyle()
print(sys.version)
searchRegion='SR1'
labelSR=searchRegion+'_test_SR3_UnB_V4_withGoodSignals_largeWindows'
labelSR=searchRegion+'_test_UnB_v4_Raph_withGoodSignals'
labelSignal="ppStau"#labelSignal="gluino"
#labelSignal="gluino"
#labelSignal="stop"
#labelSignal="DYQ1"
#labelSignal="DYQ2"
intersect_bool=True
xsec_list = 'xSec.dat'
models = ['HSCPgluinoOnlyNeutral', 'gluino', 'gmsbStau', 'pairStau', 'stopOnlyNeutral', 'stop', 'tauPrimeCharge1e', 'tauPrimeCharge2e']
models = [ 'gluino', 'pairStau', 'stop', 'DYcharge1e', 'DYcharge2e']
if(labelSignal=="gluino"):
models = [ 'gluino' ]
elif(labelSignal=="ppStau"):
models = [ 'pairStau' ]
elif(labelSignal=="stop"):
models = [ 'stop' ]
elif(labelSignal=="DYQ1"):
models = [ 'Charge1e' ]
elif(labelSignal=="DYQ2"):
models = [ 'Charge2e' ]
data = np.loadtxt(xsec_list, dtype=str)
xsec_hscp = {}
sample_names = []
for i in range(len(data)):
if ('HSCP' in data[i,0]):
name = data[i,0][:data[i,0].find('_TuneCP5')]
print name
xsec_hscp[name] = float(data[i, 1])
flag = 0
for m in models:
print m
if m in name:flag = 1
if flag == 0:continue
sample_names.append(name)
signal_names = {}
for m in models:
mass = []
signal_names[m] = []
for s in sample_names:
if m+'_' in s:
signal_names[m].append(s)
mass.append(int(s[s.find('M-')+2:]))
mass = np.array(mass)
inds = mass.argsort()
signal_names[m] = list(np.array(signal_names[m])[inds])
print 'sample names, signal names',sample_names, signal_names
signal = []
for k,v in signal_names.items():signal += v
print 'signal',signal
limitTrees =OrderedDict()
dataCards = OrderedDict()
limits = OrderedDict()
#dataCardDir = 'datacards_'+searchRegion+'_test/'
#limitDir = 'limitTrees_'+searchRegion+'_test/'
#dataCardDir = 'mass_shape_analysis_dir/'
#limitDir = 'mass_shape_analysis_dir_limits/'
#dataCardDir = 'datacards_SR3_test_UnB_v4_Raph_withGoodSignals_largeWindows/'
#limitDir = 'limitTrees_SR3_test_UnB_v4_Raph_withGoodSignals_largeWindows/'
if searchRegion=='SR1':
dataCardDir = 'datacards_SR1_test_UnB_v4_Raph_withGoodSignals/'
limitDir = 'limitTrees_SR1_test_UnB_v4_Raph_withGoodSignals/'
if searchRegion=='SR2':
dataCardDir = 'datacards_SR2_test_UnB_v4_Raph_withGoodSignals/'
limitDir = 'limitTrees_SR2_test_UnB_v4_Raph_withGoodSignals/'
if searchRegion=='SR3':
dataCardDir = 'datacards_SR3_test_UnB_v4_Raph_withGoodSignals/'
limitDir = 'limitTrees_SR3_test_UnB_v4_Raph_withGoodSignals/'
for s in signal:
print 'signal:', s
limitTrees[s] = {}
dataCards[s] = {}
if 'gluino' in s:
name = s.replace('HSCPg', 'G')
elif 'Stau' in s:
name = s.replace('HSCP', '')
elif 'stop' in s:
name = s.replace('HSCPs', 'S')
elif 'HSCPtauPrimeCharge1e' in s:
name = s.replace('HSCPtauPrimeCharge1e_M-', 'DYcharge1e_')
elif 'HSCPtauPrimeCharge2e' in s:
name = s.replace('HSCPtauPrimeCharge2e_M-', 'DYcharge2e_')
name = name.replace('_M-', '')
print 'name:', name
dataCards[s] = dataCardDir + '{}_2018.txt'.format(name)
#dataCards[s] = dataCardDir + 'datacard_{}_2018.txt'.format(name)
print 'datacard:', dataCards[s]
limitTrees[s] = limitDir + 'higgsCombine.{}'.format(name) + '_2018.AsymptoticLimits.mH120.root'
print (limitDir + 'higgsCombine.{}'.format(name) + '_2018.AsymptoticLimits.mH120.root')
for i,m in enumerate(limitTrees.keys()):
if not os.path.isfile(dataCards[m]):
continue
if len(uproot.open(limitTrees[m]).keys()) == 2:
T = uproot.open(limitTrees[m])['limit']
limits[m] = np.array(T.array('limit'))
print 'limits',limits
# load theoretical xsec
import json
path = 'xsec/json/'
filenames={}
if(labelSignal=="gluino"):
filenames = {
'gluino': 'pp13_gluino_NNLO+NNLL.json',
}
elif(labelSignal=="ppStau"):
filenames = {
'pairStauLR':'pp13_slep_LR_NLO+NLL_PDF4LHC.json',
#'pairStauLL':'pp13_slep_L_NLO+NLL_PDF4LHC.json',
#'pairStauRR':'pp13_slep_R_NLO+NLL_PDF4LHC.json',
}
elif(labelSignal=="stop"):
filenames = {
'stop':'pp13_stopsbottom_NNLO+NNLL.json',
}
elif(labelSignal=="DYQ1"):
filenames = {
'DYQ1':'dy1e.json',
}
elif(labelSignal=="DYQ2"):
filenames = {
'DYQ2':'dy2e.json',
}
print filenames
mass = {}
theoretical_xsec = {}
for f, file in filenames.items():
data = json.load(open( path + file))
mass[f] = []
theoretical_xsec[f] = []
for k,v in data['data'].items():
mass[f].append(int(k))
theoretical_xsec[f].append(float(v['xsec_pb']))
mass[f] = np.array(mass[f])
theoretical_xsec[f] = np.array(theoretical_xsec[f])
inds = mass[f].argsort()
mass[f] = mass[f][inds]
theoretical_xsec[f] = theoretical_xsec[f][inds]
# make plots
leg = rt.TLegend(0.55,0.58,0.87,0.88,'')
leg.SetHeader("95% CL Upper Limits")
leg.SetTextSize(0.03)
leg.SetBorderSize(0)
leg.SetEntrySeparation(0.01)
c = rt.TCanvas('c','c', 700, 600)
c.SetLeftMargin(.15)
c.SetBottomMargin(.15)
c.SetTopMargin(0.1)
c.SetRightMargin(0.05)
c.SetFrameLineWidth(1)
rt.gStyle.SetOptFit(1011)
h = {}
h_exp1sig = {}
h_exp2sig = {}
h_obs = {}
h_others = {}
for i, k in enumerate(mass.keys()):
h[k+'theoretical'] = create_TGraph(mass[k]/1000.,theoretical_xsec[k], axis_title=['mass [TeV]', 'Cross Section [pb]'])
h[k+'theoretical'].SetLineColor(4)
h[k+'theoretical'].SetLineStyle(1)
h[k+'theoretical'].SetLineWidth(1)
#h[k+'theor_up'] = create_TGraph(mass[k]/1000.,1.1*theoretical_xsec[k], axis_title=[''])
#h[k+'theor_down'] = create_TGraph(mass[k]/1000.,0.9*theoretical_xsec[k], axis_title=[''])
h[k+'theor_smooth'] = make_smooth_graph(create_TGraph(mass[k]/1000.,0.9*theoretical_xsec[k], axis_title=['']), create_TGraph(mass[k]/1000.,1.1*theoretical_xsec[k], axis_title=['']))
h[k+'theor_smooth'].SetLineColor(4)
h[k+'theor_smooth'].SetLineStyle(7)
h[k+'theor_smooth'].SetLineWidth(1)
h[k+'theor_smooth'].SetMarkerSize(0.5)
'''
if(i==0):
h[k+'theoretical'].SetLineColor(4)
h[k+'theor_up'].SetLineColor(4)
h[k+'theor_down'].SetLineColor(4)
h[k+'theor_smooth'].SetLineColor(4)
if(i==1):
h[k+'theoretical'].SetLineColor(6)
h[k+'theor_up'].SetLineColor(6)
h[k+'theor_down'].SetLineColor(6)
h[k+'theor_smooth'].SetLineColor(6)
if(i==2):
h[k+'theoretical'].SetLineColor(2)
h[k+'theor_up'].SetLineColor(2)
h[k+'theor_down'].SetLineColor(2)
h[k+'theor_smooth'].SetLineColor(2)
'''
for i, m in enumerate(signal_names.keys()):
x = []
y_obs = []
y = []
y_up = []
y_up2 = []
y_down = []
y_down2 = []
xAxisName = []
for key in limits.keys():
print 'key:', key
if m in key and len(limits[key])>0:
if ('gluino' in key):
xAxisName =['m(#tilde{g}) [TeV]','Cross Section [pb]']
if('Stau' in key):
xAxisName =['m(#tilde{#tau}) [TeV]','Cross Section [pb]']
if('stop' in key):
xAxisName =['m(#tilde{t}) [TeV]','Cross Section [pb]']
if('HSCPtauPrimeCharge1e' in key):
xAxisName =["m(#tau'^{1e}) [TeV]",'Cross Section [pb]']
if('HSCPtauPrimeCharge2e' in key):
xAxisName =["m(#tau'^{2e}) [TeV]",'Cross Section [pb]']
if (('gluino' in key) or ('Stau' in key) or ('stop' in key) or ('HSCPtauPrimeCharge1e' in key) or ('HSCPtauPrimeCharge2e' in key)):
print 'xsec key', xsec_hscp[key]
y.append(limits[key][2]*xsec_hscp[key])
y_up.append(limits[key][3]*xsec_hscp[key])
y_up2.append(limits[key][4]*xsec_hscp[key])
y_down.append(limits[key][1]*xsec_hscp[key])
y_down2.append(limits[key][0]*xsec_hscp[key])
y_obs.append(limits[key][5]*xsec_hscp[key])
x.append(float(key[key.find('M-')+2:])/1000.)
print x
if len(x) ==0 :continue
#h_obs[m+'_'+labelSR] = create_TGraph(x,y_obs, axis_title=['mass [TeV]', '95% CL Limit on #sigma [pb]'])
h_obs[m+'_'+labelSR] = create_TGraph(x,y_obs,axis_title=xAxisName)
h[m+'_'+labelSR] = create_TGraph(x,y,axis_title=xAxisName)
xtmp = np.array(x,dtype=np.float64)
yup2_tmp = np.array(y_up2,dtype=np.float64)
ydown2_tmp = np.array(y_down2,dtype=np.float64)
yup_tmp = np.array(y_up,dtype=np.float64)
ydown_tmp = np.array(y_down,dtype=np.float64)
g_mc2plus = rt.TGraph(len(x), xtmp, yup2_tmp)
g_mc2plus.GetXaxis().SetTitle(xAxisName[0])
g_mc2plus.GetYaxis().SetTitle(xAxisName[1])
g_mc2minus = rt.TGraph(len(x), xtmp, ydown2_tmp)
g_mc2minus.GetXaxis().SetTitle(xAxisName[0])
g_mc2minus.GetYaxis().SetTitle(xAxisName[1])
g_mcplus = rt.TGraph(len(x), xtmp, yup_tmp)
g_mcplus.GetXaxis().SetTitle(xAxisName[0])
g_mcplus.GetYaxis().SetTitle(xAxisName[1])
g_mcminus = rt.TGraph(len(x), xtmp, ydown_tmp)
g_mcminus.GetXaxis().SetTitle(xAxisName[0])
g_mcminus.GetYaxis().SetTitle(xAxisName[1])
'''
h_exp1sig[m + '_'+labelSR] = make_smooth_graph(g_mcminus, g_mcplus)
h_exp1sig[m + '_'+labelSR].SetLineColor(0)
h_exp2sig[m + '_'+labelSR] = make_smooth_graph(g_mc2minus, g_mc2plus)
h_exp2sig[m + '_'+labelSR].SetLineColor(0)
'''
h_exp1sig[m + '_'+labelSR] = create_TGraph(np.hstack((x, np.flip(x))), np.hstack((y_down, np.flip(y_up))),axis_title=xAxisName)
h_exp2sig[m + '_'+labelSR] = create_TGraph(np.hstack((x, np.flip(x))), np.hstack((y_down2, np.flip(y_up2))), axis_title=xAxisName)
for i, m in enumerate(h.keys()):
print m
if('theoretical' in m):
h[m].SetLineColor(4)
if(labelSignal=="gluino"):
leg.AddEntry(h[m],"#sigma_{th}^{NNLO+NNLL} (pp #rightarrow #tilde{g}#tilde{g})", "L")
elif(labelSignal=="stop"):
leg.AddEntry(h[m],"#sigma_{th}^{NNLO+NNLL} (pp #rightarrow #tilde{t}#tilde{t})", "L")
elif(m=="pairStauRRtheoretical"):
leg.AddEntry(h[m],"#sigma_{th}^{NLO+NLL} (pp #rightarrow #tilde{#tau}_{R}#tilde{#tau}_{R})", "L")
h[m].SetLineColor(6)
elif(m=="pairStauLLtheoretical"):
leg.AddEntry(h[m],"#sigma_{th}^{NLO+NLL} (pp #rightarrow #tilde{#tau}_{L}#tilde{#tau}_{L})", "L")
#leg.AddEntry(h[m],"#sigma_{th}^{NLO+NLL} (pp #rightarrow #tilde{#tau}_{L}#tilde{#tau}_{L})#pm1#sigma", "L")
h[m].SetLineColor(4)
elif(m=="pairStauLRtheoretical"):
leg.AddEntry(h[m],"#sigma_{th}^{NLO+NLL} (pp #rightarrow #tilde{#tau}_{L/R}#tilde{#tau}_{L/R})", "L")
h[m].SetLineColor(2)
elif(m=="DYQ1theoretical"):
leg.AddEntry(h[m],"#sigma_{th}^{NLO+NLL} (pp #rightarrow #tilde{#tau}\'^{1e}#tilde{#tau}\'^{1e})", "L")
h[m].SetLineColor(2)
elif(m=="DYQ2theoretical"):
leg.AddEntry(h[m],"#sigma_{th}^{NLO+NLL} (pp #rightarrow #tilde{#tau}\'^{2e}#tilde{#tau}\'^{2e})", "L")
h[m].SetLineColor(2)
else:
if('theor' not in m):
leg.AddEntry(h[m],"Median expected", "L")
h[m].SetLineColor(1)
h[m].SetTitle("median_expected_title")
h[m].SetName("median_expected")
h[m].SetLineWidth(3)
h[m].SetLineStyle(2)
if('theoretical' in m):
h[m].SetLineStyle(1)
h[m].SetLineWidth(1)
if('smooth' in m):
h[m].SetLineStyle(2)
h[m].SetLineColor(4)
h[m].SetLineWidth(1)
h[m].SetLineWidth(3)
h[m].GetXaxis().SetLabelFont(42)
h[m].GetXaxis().SetTitleFont(42)
h[m].GetYaxis().SetLabelFont(42)
h[m].GetYaxis().SetTitleFont(42)
h[m].GetYaxis().SetLabelSize(10)
h[m].GetXaxis().SetTitleOffset(0.9)
h[m].GetXaxis().SetLabelSize(10)
h[m].GetXaxis().SetTitleSize(0.005)
h[m].GetYaxis().SetTitleSize(0.005)
h[m].GetYaxis().SetTitleOffset(1.7)
for i,m in enumerate(h.keys()):
if 'theoretical' in m or 'theor' in m or 'smooth' in m:
continue
h_exp1sig[m].SetFillColor(rt.kGreen+1)
h_exp1sig[m].SetTitle("1sigma_expected_title")
h_exp1sig[m].SetName("1sigma_expected")
h_exp2sig[m].SetFillColor(rt.kOrange)
h_exp2sig[m].SetTitle("2sigma_expected_title")
h_exp2sig[m].SetName("2sigma_expected")
h_exp2sig[m].Draw('AF')
h_exp1sig[m].Draw('Fsame')
h_obs[m].SetMarkerStyle(20)
#h_obs[m].Draw("LP,same")
h_exp1sig[m].GetXaxis().SetLabelSize(0.02)
h_exp2sig[m].GetXaxis().SetTitleSize(0.05)
h_exp2sig[m].GetYaxis().SetTitleSize(0.05)
h_exp2sig[m].GetXaxis().SetLabelSize(0.05)
h_exp2sig[m].GetYaxis().SetLabelSize(0.05)
h_exp2sig[m].GetXaxis().SetLabelFont(42)
h_exp2sig[m].GetYaxis().SetLabelFont(42)
h_exp2sig[m].GetXaxis().SetTitleOffset(1.5)
h_exp2sig[m].GetYaxis().SetTitleOffset(1.5)
if(labelSignal=="gluino"):
h_exp1sig[m].GetYaxis().SetRangeUser(5e-5,0.2)
h_exp2sig[m].GetYaxis().SetRangeUser(5e-5,0.2)
h_exp2sig[m].GetXaxis().SetRangeUser(0.62,2.78)
elif(labelSignal=="ppStau"):
h_exp1sig[m].GetYaxis().SetRangeUser(5e-6,0.02)
h_exp2sig[m].GetYaxis().SetRangeUser(5e-6,0.02)
h_exp2sig[m].GetXaxis().SetRangeUser(0.2359,1.1011)
elif(labelSignal=="stop"):
h_exp1sig[m].GetYaxis().SetRangeUser(5e-5,0.2)
h_exp2sig[m].GetYaxis().SetRangeUser(5e-5,0.2)
h_exp2sig[m].GetXaxis().SetRangeUser(0.18,2.82)
#leg.AddEntry(h_exp2sig[m], "Expected Limit #pm1#sigma, #pm2#sigma","lep")
leg.AddEntry(h_exp1sig[m],"68% expected","f")
leg.AddEntry(h_exp2sig[m],"95% expected","f")
#leg.AddEntry(h_obs[m],"Observed Limit","LP")
for i,m in enumerate(h.keys()):
if(labelSignal=="gluino"):
h[m].GetXaxis().SetLimits(400,2700.0)
h[m].GetYaxis().SetRangeUser(1e-4,2e-2)
elif(labelSignal=="ppStau"):
h[m].GetXaxis().SetRangeUser(100,1125.0)
h[m].GetYaxis().SetRangeUser(5e-6,2e-2)
elif(labelSignal=="stop"):
h[m].GetXaxis().SetLimits(700,1000.0)
h[m].GetYaxis().SetRangeUser(5e-6,2e-2)
elif(labelSignal=="DYQ1"):
h[m].GetXaxis().SetLimits(200,2200.0)
h[m].GetYaxis().SetRangeUser(5e-7,1e-2)
elif(labelSignal=="DYQ2"):
h[m].GetXaxis().SetLimits(200,2200.0)
h[m].GetYaxis().SetRangeUser(5e-7,1e-2)
if 'smooth' in m:
continue
h[m].Draw('Lsame')
c.RedrawAxis()
CMS_lumi.lumiTextSize = 0.5
CMS_lumi.cmsTextSize = 0.8
CMS_lumi.extraText = "Internal"
CMS_lumi.writeExtraText=True
'''
CMS_lumi.cmsText = "CMS"
iPos = 0
CMS_lumi.extraText = ""
CMS_lumi.writeExtraText=True
if( iPos==0 ): CMS_lumi.relPosX = 0.12
CMS_lumi.lumi_13TeV = "100 fb^{-1}"
'''
CMS_lumi.CMS_lumi(c, 1, 11)
leg.Draw()
c.SetLogy()
#c.SetTicky(1)
#c.SetTickx(1)
c.Draw()
os.system('mkdir -p limit_plots_dir')
ofile_name="limit_plots_dir/limit_UnB_v4_Raph_"+labelSignal+"_"+labelSR
c.SaveAs(ofile_name+".root")
c.SaveAs(ofile_name+".pdf")
if(labelSignal=="gluino" and intersect_bool==True):
print('gluino', find_intersect(h['gluino_'+labelSR],h['gluinotheoretical']))
print('gluino1', find_intersect(h_exp1sig['gluino_'+labelSR],h['gluinotheoretical']))
print('gluino2', find_intersect(h_exp2sig['gluino_'+labelSR],h['gluinotheoretical']))
print('obs', find_intersect(h_obs['gluino_'+labelSR],h['gluinotheoretical']))
elif(labelSignal=="ppStau" and intersect_bool==True):
#print('pairStauRR', find_intersect(h['pairStau_'+labelSR],h['pairStauRRtheoretical']))
#print('1sigma', find_intersect(h_exp1sig['pairStau_'+labelSR],h['pairStauRRtheoretical']))
#print('2sigma', find_intersect(h_exp2sig['pairStau_'+labelSR],h['pairStauRRtheoretical']))
#print('obs', find_intersect(h_obs['pairStau_'+labelSR],h['pairStauRRtheoretical']))
print('pairStauLL', find_intersect(h['pairStau_'+labelSR],h['pairStauLLtheoretical']))
print('1sigma', find_intersect(h_exp1sig['pairStau_'+labelSR],h['pairStauLLtheoretical']))
print('2sigma', find_intersect(h_exp2sig['pairStau_'+labelSR],h['pairStauLLtheoretical']))
print('obs', find_intersect(h_obs['pairStau_'+labelSR],h['pairStauLLtheoretical']))
#print('pairStauLR', find_intersect(h['pairStau_'+labelSR],h['pairStauLRtheoretical']))
#print('1sigma', find_intersect(h_exp1sig['pairStau_'+labelSR],h['pairStauLRtheoretical']))
#print('2sigma', find_intersect(h_exp2sig['pairStau_'+labelSR],h['pairStauLRtheoretical']))
#print('obs', find_intersect(h_obs['pairStau_'+labelSR],h['pairStauLRtheoretical']))
elif(labelSignal=="stop" and intersect_bool==True):
print('stop', find_intersect(h['stop_'+labelSR],h['stoptheoretical']))
print('stop1', find_intersect(h_exp1sig['stop_'+labelSR],h['stoptheoretical']))
print('stop2', find_intersect(h_exp2sig['stop_'+labelSR],h['stoptheoretical']))
print('obs', find_intersect(h_obs['stop_'+labelSR],h['stoptheoretical']))
elif(labelSignal=="DYQ1" and intersect_bool==True):
print('DYQ1', find_intersect(h['Charge1e_'+labelSR],h['DYQ1theoretical']))
print('1sigma', find_intersect(h_exp1sig['Charge1e_'+labelSR],h['DYQ1theoretical']))
print('2sigma', find_intersect(h_exp2sig['Charge1e_'+labelSR],h['DYQ1theoretical']))
print('obs', find_intersect(h_obs['Charge1e_'+labelSR],h['DYQ1theoretical']))
elif(labelSignal=="DYQ2" and intersect_bool==True):
print('DYQ2', find_intersect(h['Charge2e_'+labelSR],h['DYQ2theoretical']))
print('1sigma', find_intersect(h_exp1sig['Charge2e_'+labelSR],h['DYQ2theoretical']))
print('2sigma', find_intersect(h_exp2sig['Charge2e_'+labelSR],h['DYQ2theoretical']))
print('obs', find_intersect(h_obs['Charge2e_'+labelSR],h['DYQ2theoretical']))