/
plotLimits.py
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/
plotLimits.py
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#! /usr/bin/env python
import ROOT
import sys
sys.path.append("/.automount/home/home__home4/institut_1b/schomakers/FrameWork/frameWorkBase")
from messageLogger import messageLogger as log
from array import *
def plot():
import re
import ratios
from ROOT import TCanvas, TPad, TH1F, TH2F, TH1I, THStack, TLegend, TMath, TF1, TGraph, TGraph2D, TFile, TObjArray, gROOT
from setTDRStyle import setTDRStyle
import pickle
from defs import sbottom_masses
from math import sqrt
canv = TCanvas("canv", "canv",800,800)
plotPad = ROOT.TPad("plotPad","plotPad",0,0,1,1)
style=setTDRStyle()
style.SetPadRightMargin(0.18)
style.SetTitleYOffset(1.54)
plotPad.UseCurrentStyle()
plotPad.Draw()
plotPad.cd()
exclusionContours = ["obsR","obsR_up","obsR_down","expR","expR_up","expR_down","expR_2up","expR_2down","obsXsecLimit"]
Graphs = {}
Histograms = {}
printLumi = "35.9"
m_n_min = 150
m_n_max = 1550
#~ m_n_max = 1450
m_b_min = 700
m_b_max = 1600
#~ m_b_max = 1450
Exclusions = {}
for exclusionContour in exclusionContours:
Exclusions[exclusionContour] = []
masses_b = []
masses_n = []
cross_sections = []
m_b = m_b_min
while m_b <= m_b_max:
if m_b < 800:
stepsize = 25
else:
stepsize = 50
m_n = m_n_min
while m_n < m_b:
### Privately produced points that were missing before have less statistics
### than the surrounding points -> cause some strange effects in plot
### better to ignore them and let root interpolate the histogram
if not ((m_b == 775 and m_n == 750) or (m_b == 800 and m_n == 150) or (m_b == 950 and m_n == 250) or (m_b == 950 and m_n == 300) or (m_b == 950 and m_n == 500) or (m_b == 950 and m_n == 550) or (m_b == 950 and m_n == 850) or (m_b == 950 and m_n == 900)):
limitFile = open("Limits/T6bbllslepton_%s_%s.result.txt"%(str(m_b),str(m_n)),"r")
masses_b.append(m_b)
masses_n.append(m_n)
M_SBOTTOM = "m_b_"+str(m_b)
xSection = getattr(sbottom_masses, M_SBOTTOM).cross_section13TeV
xsectionUncert = getattr(sbottom_masses, M_SBOTTOM).cross_sectionUncertainty
cross_sections.append(xSection)
for line in limitFile:
if "CLs observed asymptotic" in line:
observed_R = float(re.findall("\d+\.\d+",line)[0])
Exclusions["obsR"].append(observed_R)
Exclusions["obsR_up"].append(observed_R*(1+xsectionUncert))
Exclusions["obsR_down"].append(observed_R*(1-xsectionUncert))
Exclusions["obsXsecLimit"].append(observed_R*xSection)
if "CLs expected asymptotic" in line:
Exclusions["expR"].append(float(re.findall("\d+\.\d+",line)[0]))
if "CLs expected m1sigma asymptotic" in line:
Exclusions["expR_down"].append(float(re.findall("\d+\.\d+",line)[0]))
if "CLs expected p1sigma asymptotic" in line:
Exclusions["expR_up"].append(float(re.findall("\d+\.\d+",line)[0]))
if "CLs expected m2sigma asymptotic" in line:
Exclusions["expR_2down"].append(float(re.findall("\d+\.\d+",line)[0]))
if "CLs expected p2sigma asymptotic" in line:
Exclusions["expR_2up"].append(float(re.findall("\d+\.\d+",line)[0]))
m_n += stepsize
m_b += stepsize
bin_size =12.5
nxbins = int(min(500,(m_b_max-m_b_min)/bin_size))
nybins = int(min(500,(m_n_max-m_n_min)/bin_size))
for exclusionContour in exclusionContours:
Graphs[exclusionContour] = TGraph2D("Graph_%s"%(exclusionContour),exclusionContour, len(Exclusions[exclusionContour]), array('d',masses_b), array('d',masses_n), array('d',Exclusions[exclusionContour]))
dots = TGraph(len(masses_b), array('d',masses_b), array('d',masses_n))
contours = array('d',[1.0])
Histograms["obsXsecLimit"] = Graphs["obsXsecLimit"].GetHistogram()
Histograms["obsXsecLimit"].SetTitle("Observed cross section limit;m_{#tilde{b}} [GeV]; m_{#tilde{#chi}_{2}^{0}} [GeV]")
Histograms["obsXsecLimit"].GetZaxis().SetRangeUser(0.0002,0.05)
Histograms["expR"] = Graphs["expR"].GetHistogram()
Histograms["expR"].SetContour(1,contours)
Histograms["expR"].SetLineWidth(4)
Histograms["expR"].SetLineStyle(2)
Histograms["expR"].SetLineColor(2)
Histograms["expR"].Smooth()
Histograms["expR_up"] = Graphs["expR_up"].GetHistogram()
Histograms["expR_up"].SetContour(1,contours)
Histograms["expR_up"].SetLineWidth(2)
Histograms["expR_up"].SetLineStyle(2)
Histograms["expR_up"].SetLineColor(2)
Histograms["expR_up"].Smooth()
Histograms["expR_down"] = Graphs["expR_down"].GetHistogram()
Histograms["expR_down"].SetContour(1,contours)
Histograms["expR_down"].SetLineWidth(2)
Histograms["expR_down"].SetLineStyle(2)
Histograms["expR_down"].SetLineColor(2)
Histograms["expR_down"].Smooth()
Histograms["expR_2up"] = Graphs["expR_2up"].GetHistogram()
Histograms["expR_2up"].SetContour(1,contours)
Histograms["expR_2up"].SetLineWidth(2)
Histograms["expR_2up"].SetLineStyle(2)
Histograms["expR_2up"].SetLineColor(2)
Histograms["expR_2up"].Smooth()
Histograms["expR_2down"] = Graphs["expR_2down"].GetHistogram()
Histograms["expR_2down"].SetContour(1,contours)
Histograms["expR_2down"].SetLineWidth(2)
Histograms["expR_2down"].SetLineStyle(2)
Histograms["expR_2down"].SetLineColor(2)
Histograms["expR_2down"].Smooth()
Histograms["obsR"] = Graphs["obsR"].GetHistogram()
Histograms["obsR"].SetContour(1,contours)
Histograms["obsR"].SetLineWidth(4)
Histograms["obsR"].SetLineStyle(1)
Histograms["obsR"].SetLineColor(1)
Histograms["obsR"].Smooth()
Histograms["obsR_up"] = Graphs["obsR_up"].GetHistogram()
Histograms["obsR_up"].SetContour(1,contours)
Histograms["obsR_up"].SetLineWidth(2)
Histograms["obsR_up"].SetLineStyle(1)
Histograms["obsR_up"].SetLineColor(1)
Histograms["obsR_up"].Smooth()
Histograms["obsR_down"] = Graphs["obsR_down"].GetHistogram()
Histograms["obsR_down"].SetContour(1,contours)
Histograms["obsR_down"].SetLineWidth(2)
Histograms["obsR_down"].SetLineStyle(1)
Histograms["obsR_down"].SetLineColor(1)
Histograms["obsR_down"].Smooth()
latex = ROOT.TLatex()
latex.SetTextSize(0.03)
latex.SetNDC(True)
latexLumi = ROOT.TLatex()
latexLumi.SetTextFont(42)
latexLumi.SetTextAlign(31)
latexLumi.SetTextSize(0.04)
latexLumi.SetNDC(True)
latexCMS = ROOT.TLatex()
latexCMS.SetTextFont(61)
latexCMS.SetTextSize(0.05)
latexCMS.SetNDC(True)
latexCMSExtra = ROOT.TLatex()
latexCMSExtra.SetTextFont(52)
latexCMSExtra.SetTextSize(0.0375)
latexCMSExtra.SetNDC(True)
latexLegendHeader = ROOT.TLatex()
latexLegendHeader.SetTextSize(0.025)
latexLegendHeader.SetNDC(True)
Overlay = ROOT.TGraph(0)
Overlay.SetPoint(0, 700, 625)
Overlay.SetPoint(1, 1650, 1575)
Overlay.SetPoint(2, 700, 1575)
Overlay.SetPoint(3, 700, 625)
Overlay.SetFillColor(0)
leg1 = ROOT.TLegend(0.19,0.72,0.83,0.92)
leg1.SetBorderSize(1)
leg1.SetLineWidth(2)
leg = ROOT.TLegend(0.195,0.725,0.825,0.82)
leg.SetTextSize(0.025)
leg.SetBorderSize(0)
leg.SetLineWidth(0)
leg.AddEntry(Histograms["expR"], "Expected limit, #pm 1 (2) #sigma_{exp.}","l")
leg.AddEntry(Histograms["obsR"], "Observed limit, #pm 1 #sigma_{theory}","l")
plotPad.SetTopMargin(0.08)
plotPad.SetBottomMargin(0.13)
plotPad.SetLeftMargin(0.19)
plotPad.SetRightMargin(0.17)
plotPad.DrawFrame(700,150,1600,1750,";m_{#tilde{b}} [GeV]; m_{#tilde{#chi}_{2}^{0}} [GeV]")
plotPad.SetLogz()
#~ Histograms["obsXsecLimit"].GetYaxis().SetTitleOffset(1.5)
Histograms["obsXsecLimit"].SetZTitle("95% CL upper limit on #sigma [pb]")
Histograms["obsXsecLimit"].GetZaxis().SetLabelSize(0.035)
Histograms["obsXsecLimit"].GetZaxis().SetTitleOffset(1.0)
Histograms["obsXsecLimit"].Draw("SAME COLZ")
Histograms["expR_2up"].Draw("SAMECONT3")
Histograms["expR_2down"].Draw("SAMECONT3")
Histograms["expR_up"].Draw("SAMECONT3")
Histograms["expR_down"].Draw("SAMECONT3")
Histograms["expR"].Draw("SAMECONT3")
Histograms["obsR_up"].Draw("SAMECONT3")
Histograms["obsR_down"].Draw("SAMECONT3")
Histograms["obsR"].Draw("SAMECONT3")
Overlay.Draw("f")
latexLumi.DrawLatex(0.83, 0.94, "%s fb^{-1} (13 TeV)"%(printLumi))
latexCMS.DrawLatex(0.185,0.94,"CMS")
#~ latexCMSExtra.DrawLatex(0.29,0.94,"Preliminary")
plotPad.RedrawAxis()
leg1.Draw("same")
leg.Draw("same")
latexLegendHeader.DrawLatex(0.2, 0.85, "#splitline{pp#rightarrow#tilde{b}#tilde{b}, #tilde{b}#rightarrow#tilde{#chi}_{2}^{0}b, #tilde{#chi}_{2}^{0}#rightarrow#tilde{l}l/Z#tilde{#chi}_{1}^{0}, #tilde{l}#rightarrow#tilde{#chi}_{1}^{0}l; m_{#tilde{#chi_{1}}^{0}}= 100 GeV}{m_{#tilde{l}} = 0.5(m_{#tilde{#chi}_{2}^{0}}+ m_{#tilde{#chi}_{1}^{0}}); NLO+NLL exclusion}")
canv.Update()
canv.Print("fig/LimitPlot.pdf")
canv.Print("fig/LimitPlot.png")
Histograms["obsXsecLimit"].SetName("XSecUpperLimit")
Histograms["expR"].SetName("ExpectedUpperLimit")
Histograms["expR_up"].SetName("ExpectedUpperLimitUp")
Histograms["expR_down"].SetName("ExpectedUpperLimitDown")
Histograms["expR_2up"].SetName("ExpectedUpperLimitUp2")
Histograms["expR_2down"].SetName("ExpectedUpperLimitDown2")
Histograms["obsR"].SetName("ObservedUpperLimit")
Histograms["obsR_up"].SetName("ObservedUpperLimitUp")
Histograms["obsR_down"].SetName("ObservedUpperLimitDown")
Graphs["expR"].SetName("ExpectedUpperLimit")
Graphs["expR_up"].SetName("ExpectedUpperLimitUp")
Graphs["expR_down"].SetName("ExpectedUpperLimitDown")
Graphs["expR_2up"].SetName("ExpectedUpperLimitUp2")
Graphs["expR_2down"].SetName("ExpectedUpperLimitDown2")
Graphs["obsR"].SetName("ObservedUpperLimit")
Graphs["obsR_up"].SetName("ObservedUpperLimitUp")
Graphs["obsR_down"].SetName("ObservedUpperLimitDown")
Histograms["expR"].SetTitle("Expected Upper Limit;m_{#tilde{b}} [GeV]; m_{#tilde{#chi}_{2}^{0}} [GeV]")
Histograms["expR_up"].SetTitle("Expected Upper Limit + 1 #sigma;m_{#tilde{b}} [GeV]; m_{#tilde{#chi}_{2}^{0}} [GeV]")
Histograms["expR_down"].SetTitle("Expected Upper Limit - 1 #sigma;m_{#tilde{b}} [GeV]; m_{#tilde{#chi}_{2}^{0}} [GeV]")
Histograms["expR_2up"].SetTitle("Expected Upper Limit + 2 #sigma;m_{#tilde{b}} [GeV]; m_{#tilde{#chi}_{2}^{0}} [GeV]")
Histograms["expR_2down"].SetTitle("Expected Upper Limit - 2 #sigma;m_{#tilde{b}} [GeV]; m_{#tilde{#chi}_{2}^{0}} [GeV]")
Histograms["obsR"].SetTitle("Observed Upper Limit;m_{#tilde{b}} [GeV]; m_{#tilde{#chi}_{2}^{0}} [GeV]")
Histograms["obsR_up"].SetTitle("Observed Upper Limit + 1 #sigma;m_{#tilde{b}} [GeV]; m_{#tilde{#chi}_{2}^{0}} [GeV]")
Histograms["obsR_down"].SetTitle("Observed Upper Limit - 1 #sigma;m_{#tilde{b}} [GeV]; m_{#tilde{#chi}_{2}^{0}} [GeV]")
f1 = TFile("fig/T6bbllslepton_XSecUpperLimit_and_ExclusionContours.root","RECREATE")
Histograms["obsXsecLimit"].Write()
Histograms["expR"].Write()
Histograms["expR_up"].Write()
Histograms["expR_down"].Write()
Histograms["expR_2up"].Write()
Histograms["expR_2down"].Write()
Histograms["obsR"].Write()
Histograms["obsR_up"].Write()
Histograms["obsR_down"].Write()
f1.Close()
if (__name__ == "__main__"):
plot()