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plotter.py
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#!/usr/bin/env python3
import ROOT
import uproot
import collections
from termcolor import colored
import math
import argparse
import yaml
import os
import numpy as np
ROOT.PyConfig.IgnoreCommandLineOptions = True
ROOT.gROOT.SetBatch(ROOT.kTRUE)
ROOT.gROOT.ProcessLine(".x rootlogon.C")
ROOT.gErrorIgnoreLevel=ROOT.kError
parser = argparse.ArgumentParser("")
parser.add_argument('-era', '--era', type=str, default="2016", help="")
parser.add_argument('-cfg', '--cfg', type=str, default="./config/inputs-NanoAODv5-2016.yaml", help="")
parser.add_argument('-debug', '--debug', action='store_true')
options = parser.parse_args()
processes = {}
with open(options.cfg, 'r') as stream:
processes = yaml.safe_load(stream)
xsections = {}
with open("./config/xsections_{}.yaml".format(options.era), 'r') as stream:
xsections = yaml.safe_load(stream)
controlreg = ["catMM","catEE", "catEM", "cat3L", "cat4L", "DY"]
error_band_color = 138
error_band_style = 3357
error_band_opacity = 1
syst_error_band_color = 139
syst_error_band_style = 3357
syst_error_band_opacity = 1
canvas_width = 600
canvas_height = 600+100
ratio_error_same = False
ratio_syst_band_color = 138
ratio_syst_band_style = 1001
ratio_error_band_color = 139
ratio_error_band_style = 1001
ratio_error_band_opacity = 0.7
ratio_draw_signal = False
ratio_precision_range = [0, 2.6]
ratio_plot_grid = True
text_font = 43
text_size = 18
# systematics_sources = [
# "ElectronEn",
# # "MuonEn",
# # "jesTotal",
# # "jer"
# ]
systematics_sources = [
"puWeight", "PDF", "MuonSF", "ElecronSF", "EWK",
"nvtxWeight","TriggerSFWeight","btagEventWeight",
"QCDScale0w", "QCDScale1w", "QCDScale2w"
]
observable = {
"catSignal-0jet" : "measMET",
"catEM" : "measMET",
"catSignal-1jet" : "measMET",
"cat3L" : "measMET",
"cat4L" : "measMET",
"catNRB" : "measMET",
"catTOP" : "measMET",
"catDY" : "measMET",
"njet" : "njet",
"balance" : "balance",
"phizmet" : "phizmet"
}
# observable = {
# "catSignal-0jet" : "MT",
# "catEM" : "MT",
# "catSignal-1jet" : "MT",
# "cat3L" : "MT",
# "cat4L" : "MT",
# "catNRB" : "MT",
# "catTOP" : "MT",
# "catDY" : "MT",
# "njet" : "njet",
# "balance" : "balance",
# "phizmet" : "phizmet"
# }
names = {
"catSignal-0jet" : "E_{T}^{miss} (GeV)",
"catSignal-1jet" : "E_{T}^{miss} (GeV)",
"catEM" : "E_{T}^{miss} (GeV)",
"cat3L" : "emulated E_{T}^{miss} (GeV)",
"cat4L" : "emulated E_{T}^{miss} (GeV)",
"catNRB" : "E_{T}^{miss} (GeV)",
"catTOP" : "E_{T}^{miss} (GeV)",
"catDY" : "E_{T}^{miss} (GeV)",
"njet" : "N_{jet}",
"balance": "balance",
"phizmet": "#phi(Z,E_{T}^{miss})/#pi"
}
ranges = {
"catSignal-0jet" : [100, 600],
"catSignal-1jet" : [100, 600],
"catEM" : [ 50, 600],
"cat3L" : [ 50, 600],
"cat4L" : [ 50, 600],
"catNRB" : [ 50, 100],
"catTOP" : [ 50, 100],
"catDY" : [ 50, 100],
"njet" : [ 0, 6],
"balance": [ 0, 2],
"phizmet": [ 0, 1]
}
# ranges = {
# "catSignal-0jet" : [0, 2000],
# "catSignal-1jet" : [0, 2000],
# "catEM" : [0, 2000],
# "cat3L" : [0, 2000],
# "cat4L" : [0, 2000],
# "catNRB" : [0, 2000],
# "catTOP" : [0, 2000],
# "catDY" : [0, 2000],
# "njet" : [ 0, 6],
# "balance": [ 0, 2],
# "phizmet": [ 0, 1]
# }
def get_channel_title(text):
text = text.replace("_","")
cat = {
"catSignal-0jet" : "0 jets",
"catEM" : "e#mu" ,
"catSignal-1jet" : "1 jets",
"cat3L" : "WZ" ,
"cat4L" : "ZZ" ,
"catNRB": "NRB" ,
"catTOP": "TOP" ,
"catDY" : "DY" ,
"njet" : "N_{jets}",
"balance" : "balance",
"phizmet": ""
}
return cat[text]
def checkShape(shapeHist):
negativeBins = False
zeroBins = False
for iBin in range(shapeHist.GetNbinsX()):
b = shapeHist.GetBinContent(iBin + 1)
if b < 0.:
negativeBins = True
shapeHist.SetBinContent(iBin + 1, 0.)
shapeHist.SetBinError(iBin + 1, -b)
elif b == 0.:
zeroBins = True
if shapeHist.GetBinContent(0) != 0.:
shapeHist.SetBinContent(0, 0.)
if shapeHist.GetBinContent(shapeHist.GetNbinsX()+1) != 0.:
shapeHist.SetBinContent(shapeHist.GetNbinsX()+1, 0.)
def customizeHisto(hist, ratioplot = True):
hist.GetYaxis().SetTitleSize (21)
hist.GetYaxis().SetTitleFont (43)
hist.GetYaxis().SetTitleOffset(1.8)
hist.GetYaxis().SetLabelFont (43)
hist.GetYaxis().SetLabelSize (18)
hist.GetXaxis().SetTitleSize (21)
hist.GetXaxis().SetTitleFont (43)
hist.GetXaxis().SetTitleOffset(3.5)
hist.GetXaxis().SetLabelOffset(0.02)
hist.GetXaxis().SetLabelFont (43)
hist.GetXaxis().SetLabelSize (18)
def draw_cms_headlabel(label_left ='#scale[1.2]{#bf{CMS}} #it{Preliminary}',
label_right ='#sqrt{s} = 13 TeV, L = 2.56 fb^{-1}'):
tex_left = ROOT.TLatex()
tex_left.SetTextAlign (11);
tex_left.SetTextFont (42);
tex_left.SetTextSize (0.036);
tex_right = ROOT.TLatex()
tex_right.SetTextAlign(31);
tex_right.SetTextFont (42);
tex_right.SetTextSize (0.036);
tex_left.DrawLatexNDC (0.14,
1.01 - ROOT.gStyle.GetPadTopMargin(),label_left)
tex_right.DrawLatexNDC(1-0.05,
1.01 - ROOT.gStyle.GetPadTopMargin(),label_right)
def makeRatio(hist1,hist2,ymax=2.1,ymin=0,norm=False, isdata =False):
"""returns the ratio plot hist2/hist1
if one of the histograms is a stack put it in as argument 2!"""
if norm:
try:
hist1.Scale(1/hist1.Integral())
hist2.Scale(1/hist2.Integral())
except(ZeroDivisionError):
pass
retH = hist1.Clone()
retH.Divide(hist2)
if isdata:
for ibin in range(hist2.GetNbinsX()+1):
ymc = hist2.GetBinContent(ibin);
stat = hist1.GetBinError (ibin);
if (ymc>0):
retH.SetBinError (ibin,stat/ymc);
else:
retH.SetBinError (ibin,0);
ROOT.SetOwnership(retH,0)
return retH
def draw_error_band(myHisto,systematics={},systematic_only=True, combine_with_systematic=True):
"""
Draw this histogram with the statistical
precision error in each bin
"""
statPrecision = myHisto.Clone('_statErrors_')
ROOT.SetOwnership(statPrecision,0)
statPrecision.SetFillColorAlpha(error_band_color,error_band_opacity)
statPrecision.SetFillStyle(error_band_style)
statPrecision.SetLineWidth(2)
statPrecision.SetMarkerColorAlpha(0,0)
systPrecision = myHisto.Clone('_systErrors_')
ROOT.SetOwnership(systPrecision,0)
systPrecision.SetFillColorAlpha(syst_error_band_color,syst_error_band_opacity)
systPrecision.SetFillStyle(syst_error_band_style)
systPrecision.SetLineWidth(2)
systPrecision.SetMarkerColorAlpha(0,0)
if combine_with_systematic : systematic_only = True
if systematic_only:
for ibin in range(myHisto.GetNbinsX()+1):
y = statPrecision.GetBinContent(ibin);
stat = statPrecision.GetBinError (ibin);
up_err_sum2 = stat**2
dw_err_sum2 = stat**2
for key, syst in systematics.items():
up_diff = syst.get("Up").GetBinContent(ibin) - y
dw_diff = syst.get("Down").GetBinContent(ibin) - y
if up_diff > 0 :
up_err_sum2 += up_diff*up_diff
if dw_diff < 0 :
dw_err_sum2 += dw_diff*dw_diff
up_error = math.sqrt(up_err_sum2)
dw_error = math.sqrt(dw_err_sum2)
band_max = y + up_error
band_min = y - dw_error
systPrecision.SetBinContent(ibin, (band_max + band_min)/2.0);
systPrecision.SetBinError (ibin, (band_max - band_min)/2.0);
statPrecision.SetBinContent(ibin, y )
statPrecision.SetBinError (ibin, stat )
# ------
return (statPrecision, systPrecision)
def make_stat_progression(myHisto,systematics={},
systematic_only=True,
combine_with_systematic=True):
"""
This function returns a function with
the statistical precision in each bin
"""
statPrecision = myHisto.Clone('_ratioErrors_')
systPrecision = myHisto.Clone('_ratioSysErrors_')
statPrecision.SetFillColorAlpha(ratio_error_band_color,ratio_error_band_opacity)
statPrecision.SetFillStyle(ratio_error_band_style)
statPrecision.SetMarkerColorAlpha(0,0)
systPrecision.SetFillColorAlpha(ratio_syst_band_color,ratio_error_band_opacity)
systPrecision.SetFillStyle(ratio_syst_band_style)
systPrecision.SetMarkerColorAlpha(0,0)
if len(systematics)==0 : systematic_only = False
for ibin in range(myHisto.GetNbinsX()+1):
y = statPrecision.GetBinContent(ibin)
stat = statPrecision.GetBinError (ibin)
if( y > 0 ):
statPrecision.SetBinContent(ibin, 1 )
statPrecision.SetBinError (ibin, stat/y )
else:
statPrecision.SetBinContent(ibin, 1 )
statPrecision.SetBinError (ibin, 0 )
if systematic_only:
up_err_sum2 = 0
dw_err_sum2 = 0
if( y > 0 ):
up_err_sum2 = (stat/y)*(stat/y)
dw_err_sum2 = (stat/y)*(stat/y)
for key, syst in systematics.items():
up_diff = (syst.get("Up" ).GetBinContent(ibin)- y)/y
dw_diff = (syst.get("Down").GetBinContent(ibin)- y)/y
if( up_diff > 0 ):
up_err_sum2 += up_diff*up_diff
if( dw_diff < 0 ):
dw_err_sum2 += dw_diff*dw_diff
up_error = math.sqrt(up_err_sum2)
dw_error = math.sqrt(dw_err_sum2)
band_max = 1 + up_error
band_min = 1 - dw_error
systPrecision.SetBinContent(ibin, (band_max + band_min)/2.0);
systPrecision.SetBinError (ibin, (band_max - band_min)/2.0);
statPrecision.GetYaxis().SetRangeUser(0, 2)
systPrecision.GetYaxis().SetRangeUser(0, 2)
return (statPrecision, systPrecision)
def makeRatioPlotCanvas(name=''):
"""
returns a divided canvas for ratios
"""
canv = ROOT.TCanvas("c_" + name, name, canvas_width, canvas_height)
canv.cd()
padup = ROOT.TPad("padup", "padup", 0, 0.3, 1, 1.0)
padup.SetNumber(1)
paddw = ROOT.TPad("paddw", "paddw", 0, 0.0, 1, 0.3)
paddw.SetNumber(2)
padup.Draw()
padup.SetTopMargin(0.08)
padup.SetBottomMargin(0.00)
padup.SetLeftMargin(0.14)
padup.SetRightMargin(0.05)
padup.SetFrameBorderMode(0)
padup.SetFrameBorderMode(0)
paddw.Draw()
paddw.SetTopMargin(0.00)
paddw.SetBottomMargin(0.37)
paddw.SetLeftMargin(0.14)
paddw.SetRightMargin(0.05)
paddw.SetFrameBorderMode(0)
canv.cd()
ROOT.SetOwnership(padup,0)
ROOT.SetOwnership(paddw,0)
return canv
def check_nuisance(process, nuisance, ch, hist_nm, hist_up, hist_dw):
c = ROOT.TCanvas(
"{}_{}_{}".format(process, ch, nuisance),
"{} {} {}".format(process, ch, nuisance),
400, 700
)
hup_ratio = hist_up.Clone("hratio_up")
hup_ratio.Divide(hist_nm)
hdw_ratio = hist_dw.Clone("hratio_dw")
hdw_ratio.Divide(hist_nm)
c.Divide(1,2)
c.cd(1)
hist_nm.SetLineColor(ROOT.kBlack)
hist_nm.SetLineWidth(2)
hist_nm.SetFillStyle(0)
hist_nm.Draw("hist")
hist_up.SetLineColor(ROOT.kRed)
hist_up.SetLineWidth(2)
hist_up.SetFillStyle(0)
hist_up.Draw("hist,same")
hist_dw.SetLineColor(ROOT.kBlue)
hist_dw.SetLineWidth(2)
hist_dw.SetFillStyle(0)
hist_dw.Draw("hist,same")
if hist_nm.Integral() != 0:
text = c.GetName() + " lnN {:1.3f}/{:1.3f}".format(
hist_up.Integral()/hist_nm.Integral(),
hist_dw.Integral()/hist_nm.Integral()
)
l = ROOT.TLatex()
ROOT.SetOwnership(l, False)
l.SetNDC()
l.SetTextSize(1.3*ROOT.gPad.GetTopMargin())
l.SetTextFont(22)
l.SetY(1-ROOT.gPad.GetTopMargin()-.1)
l.SetTextAlign(33)
l.SetX(1-ROOT.gPad.GetRightMargin()-.1)
l.SetTitle(text)
l.Draw()
c.cd(2)
hup_ratio.GetYaxis().SetTitle("Ratio")
hup_ratio.Draw("hist")
hup_ratio.GetYaxis().SetRangeUser(0.5, 1.5)
hdw_ratio.Draw("histsame")
if not os.path.exists("shape_check"):
os.makedirs("shape_check")
c.Print("shape_check/%s.png" % c.GetName())
c.Print("shape_check/%s.pdf" % c.GetName())
def drawing(channel="_3L", ylog=True, lumi=41.5, blind=True, rebin=1):
x_vec = collections.OrderedDict()
w_vec = collections.OrderedDict()
root_legend = ROOT.TLegend(0.4, 0.7, 0.95, 0.90)
root_legend.SetNColumns(3)
#root_legend.SetColumnSeparation(0.1)
first = 0
stack_mc = ROOT.THStack("", "")
data_pts = None
root_histos = []
root_signal = []
root_histos_syt = {}
for procname, cmd in processes.items():
files = cmd["files"]
hist_objs = []
dic_root_histos = {}
for fn in files:
fn_root = uproot.open(fn)
bn_root = ROOT.TFile.Open(fn)
hist_names = []
syst_names = []
for nm in fn_root.keys():
if 'sys' in str(nm):
syst_names.append(nm)
continue
if channel not in str(nm):
continue
if observable[channel.replace('_','')] not in str(nm):
continue
hist_names.append(str(nm.decode('UTF-8')))
for hist_name in hist_names:
hname = hist_name.replace("b'","")
hname = hname.replace(";1","")
hist = bn_root.Get(hname)
if cmd.get("type").lower() == "data":
if blind and (channel=="catSignal-0jet" or channel=="catSignal-1jet"):
for ibin in range(hist.GetNbinsX()+1):
hist.SetBinContent(ibin, 0)
hist.SetBinError(ibin, 0)
if blind and (channel=="njet"):
hist.SetBinContent(1, 0)
if cmd.get("type").lower() == "background":
scale = xsections[os.path.basename(fn.replace(".root", ""))]["xsec"]
scale *= xsections[os.path.basename(fn.replace(".root", ""))]["kr"]
scale *= xsections[os.path.basename(fn.replace(".root", ""))]["br"]
scale *= 1000.0
scale *= lumi/fn_root["Runs"].array("genEventSumw").sum()
scale *= cmd.get("kfactor", 1.0)
hist.Sumw2()
hist.Scale(scale)
hist.SetDirectory(0)
for syst in systematics_sources:
try:
_h_syst_up = bn_root.Get(hname + "_sys_"+syst+"Up")
_h_syst_up.SetDirectory(0)
_h_syst_up.Sumw2()
_h_syst_up.Scale(scale)
_h_syst_dw = bn_root.Get(hname + "_sys_"+syst+"Down")
_h_syst_dw.SetDirectory(0)
_h_syst_dw.Sumw2()
_h_syst_dw.Scale(scale)
if options.debug:
print(colored(
"{:20} lnN {:1.3f}/{:1.3f}".format(
syst,
_h_syst_up.Integral()/hist.Integral() if hist.Integral() else 1.0,
_h_syst_dw.Integral()/hist.Integral() if hist.Integral() else 1.0,
), "blue"
))
if root_histos_syt.get(syst, None) is None:
root_histos_syt[syst] = {
"Up" : _h_syst_up,
"Down" : _h_syst_dw
}
else:
root_histos_syt[syst]["Up" ].Add(_h_syst_up)
root_histos_syt[syst]["Down"].Add(_h_syst_dw)
except:
pass
elif cmd.get("type").lower() == "signal":
print(colored(fn, "red"))
hist.SetDirectory(0)
hist_objs.append(hist)
assert(len(hist_objs)!=0)
hist_com = hist_objs[0]
for _h_ in hist_objs[1:]:
hist_com.Add(_h_)
hist_com.SetTitle(";{};Events".format(names[channel.replace("_","")]))
hist_com.SetFillColor(cmd.get("color",1))
hist_com.SetLineColor(ROOT.kBlack)
hist_com.SetLineStyle(1)
hist_com.SetLineWidth(1)
hist_com.SetDirectory(0)
if cmd.get("type") == "background" and hist_com.Integral() > 0:
stack_mc.Add(hist_com)
print(colored(" -- %5s : %1.3f"%(procname, hist_com.Integral()), "blue"))
root_histos.append(hist_com)
root_legend.AddEntry(hist_com, procname, "f" )
elif cmd.get("type") == "data":
hist_com.SetBinErrorOption(ROOT.TH1.kPoisson)
hist_com.SetLineWidth(2)
hist_com.SetFillStyle(0)
hist_com.SetMarkerStyle(20)
hist_com.SetFillColorAlpha(0,0)
hist_com.SetMarkerSize (1.2)
hist_com.SetMarkerColor(1)
data_pts = hist_com
else:
root_signal.append(hist_com)
c = makeRatioPlotCanvas(name = channel)
c.cd(1)
_htmp_ = root_histos[0].Clone('__htmp__')
ROOT.SetOwnership(_htmp_, 0)
_htmp_.Reset()
_ymax_ = max([x.GetMaximum() for x in root_histos])
_ymin_ = min([x.GetMinimum() for x in root_histos])
if ylog :
_ymin_ = (0.01 - 0.003) if _ymin_ <= 0 else _ymin_
_ymax_ = stack_mc.GetMaximum()*1000
_htmp_.GetYaxis().SetRangeUser(_ymin_,_ymax_)
ROOT.gPad.SetLogy()
else:
_ymin_ = 0
_ymax_ = _ymax_ + _ymax_ * 0.5
_htmp_.GetYaxis().SetRangeUser(_ymin_,_ymax_)
customizeHisto(_htmp_)
_htmp_.Draw('hist')
_htmp_.GetXaxis().SetRangeUser(
ranges[channel.replace("_","")][0],
ranges[channel.replace("_","")][1]
)
stack_mc.Draw('hist,same')
data_pts.SetFillStyle(0)
data_pts.Draw("E,same")
# Error bars
(herrstat, herrsyst) = draw_error_band(stack_mc.GetStack().Last(),root_histos_syt)
herrsyst.Draw("E2,same")
# this to check the different varations
if options.debug:
for n, syst in root_histos_syt.items():
syst['Up'].SetLineColor(2)
syst['Up'].Draw('hist,same')
syst['Down'].SetLineColor(4)
syst['Down'].Draw('hist,same')
# this is for the legend
root_legend.SetTextAlign( 12 )
root_legend.SetTextFont ( 43 )
root_legend.SetTextSize ( 18 )
root_legend.SetLineColor( 0 )
root_legend.SetFillColor( 0 )
root_legend.SetFillStyle( 0 )
root_legend.SetLineColorAlpha(0,0)
root_legend.SetShadowColor(0)
t = ROOT.TLatex()
t.SetTextAlign(13)
t.SetTextFont (text_font)
t.SetTextSize (text_size)
t.DrawLatexNDC((0.02 + ROOT.gStyle.GetPadLeftMargin()),
(0.93 - ROOT.gStyle.GetPadTopMargin()),
"%s region" % get_channel_title(channel))
draw_cms_headlabel(
label_right='#sqrt{s} = 13 TeV, L = %1.2f fb^{-1}' % lumi
)
ROOT.gPad.RedrawAxis()
c.cd(2)
(errorHist,systHist) = make_stat_progression(
stack_mc.GetStack().Last(),
systematics=root_histos_syt
)
ROOT.SetOwnership(errorHist,0)
ROOT.SetOwnership(systHist ,0)
errorHist.GetXaxis().SetTitle(_htmp_.GetXaxis().GetTitle())
errorHist.GetYaxis().SetTitle('Data/MC')
errorHist.GetYaxis().CenterTitle(True)
systHist.GetXaxis ().SetTitle(_htmp_.GetXaxis().GetTitle())
systHist.GetYaxis ().SetTitle('Data/MC')
systHist.GetYaxis ().CenterTitle(True)
systHist.GetXaxis().SetRangeUser(
ranges[channel.replace("_","")][0],
ranges[channel.replace("_","")][1]
)
customizeHisto(errorHist)
customizeHisto(systHist)
systHist.Draw('E2')
errorHist.Draw('E2,same')
ratioHist = makeRatio(
hist1 = data_pts,
hist2 = stack_mc.GetStack().Last(),
isdata = True
)
ROOT.SetOwnership(ratioHist,0)
ratioHist.GetXaxis().SetTitle(_htmp_.GetXaxis().GetTitle())
ratioHist.GetYaxis().SetTitle(_htmp_.GetYaxis().GetTitle())
ratioHist.Draw('same')
line = ROOT.TLine(
ranges[channel.replace("_","")][0],1,
ranges[channel.replace("_","")][1],1
)
line.SetLineColor(4)
line.SetLineStyle(7)
line.Draw()
ROOT.SetOwnership(line,0)
print(" Lumi : %1.3f" % lumi)
print(" MC : %1.3f" % stack_mc.GetStack().Last().Integral())
print(" DATA : %1.3f" % data_pts.Integral())
c.cd(1)
root_legend.AddEntry(systHist, "Uncert", "f" )
root_legend.AddEntry(data_pts, "Data" , "lep" )
root_legend.Draw()
if not os.path.exists("plots/{}".format(options.era)):
os.makedirs("plots/{}".format(options.era))
c.SaveAs("plots/{}/plot_met_{}_region.pdf".format(options.era, channel))
c.SaveAs("plots/{}/plot_met_{}_region.png".format(options.era, channel))
def main():
lumi = {
"2016" : 35.9,
"2017" : 41.5,
"2018" : 60.0
}
drawing("catSignal-0jet" , lumi=lumi[options.era],blind=True)
drawing("catSignal-1jet" , lumi=lumi[options.era],blind=True)
drawing("cat3L" , lumi=lumi[options.era])
drawing("cat4L" , lumi=lumi[options.era])
drawing("catEM" , lumi=lumi[options.era])
drawing("catDY" , lumi=lumi[options.era])
#
# drawing("njet" , lumi=lumi[options.era])
# drawing("balance" , lumi=lumi[options.era])
# drawing("phizmet" , lumi=lumi[options.era])
if __name__=="__main__":
main()