| 1 |
lantonel |
1.1 |
#!/usr/bin/env python
|
| 2 |
|
|
import sys
|
| 3 |
|
|
import os
|
| 4 |
|
|
import re
|
| 5 |
|
|
import math
|
| 6 |
|
|
from array import *
|
| 7 |
|
|
from decimal import *
|
| 8 |
|
|
from optparse import OptionParser
|
| 9 |
|
|
from OSUT3Analysis.Configuration.configurationOptions import *
|
| 10 |
|
|
from OSUT3Analysis.Configuration.processingUtilities import *
|
| 11 |
|
|
from OSUT3Analysis.Configuration.formattingUtilities import *
|
| 12 |
|
|
|
| 13 |
|
|
|
| 14 |
|
|
|
| 15 |
|
|
### parse the command-line options
|
| 16 |
|
|
|
| 17 |
|
|
parser = OptionParser()
|
| 18 |
|
|
parser = set_commandline_arguments(parser)
|
| 19 |
|
|
|
| 20 |
|
|
parser.remove_option("-o")
|
| 21 |
|
|
parser.remove_option("-n")
|
| 22 |
|
|
parser.remove_option("-u")
|
| 23 |
|
|
parser.remove_option("-e")
|
| 24 |
|
|
parser.remove_option("-r")
|
| 25 |
|
|
parser.remove_option("-R")
|
| 26 |
|
|
parser.remove_option("-d")
|
| 27 |
|
|
parser.remove_option("-b")
|
| 28 |
|
|
parser.remove_option("--2D")
|
| 29 |
|
|
parser.remove_option("-y")
|
| 30 |
|
|
parser.remove_option("-p")
|
| 31 |
|
|
|
| 32 |
lantonel |
1.4 |
parser.add_option("-s", "--standAlone", action="store_true", dest="standAlone", default=False,
|
| 33 |
|
|
help="adds the necessary header to be able to compile it")
|
| 34 |
|
|
|
| 35 |
lantonel |
1.1 |
|
| 36 |
|
|
(arguments, args) = parser.parse_args()
|
| 37 |
|
|
|
| 38 |
|
|
|
| 39 |
|
|
if arguments.localConfig:
|
| 40 |
|
|
sys.path.append(os.getcwd())
|
| 41 |
|
|
exec("from " + arguments.localConfig.rstrip('.py') + " import *")
|
| 42 |
|
|
|
| 43 |
|
|
#set condor directory
|
| 44 |
|
|
condor_dir = set_condor_output_dir(arguments)
|
| 45 |
|
|
|
| 46 |
|
|
|
| 47 |
|
|
from ROOT import TFile, TH1F, gDirectory
|
| 48 |
|
|
|
| 49 |
|
|
|
| 50 |
|
|
hLine = "\\hline\n"
|
| 51 |
|
|
endLine = " \\\\ "
|
| 52 |
|
|
newLine = " \n"
|
| 53 |
|
|
|
| 54 |
|
|
|
| 55 |
|
|
#### check which input datasets have valid output files
|
| 56 |
|
|
processed_datasets = []
|
| 57 |
|
|
for dataset in datasets:
|
| 58 |
|
|
if types[dataset] is "signalMC": #only include bgMC and data yields
|
| 59 |
|
|
continue
|
| 60 |
|
|
fileName = condor_dir + "/" + dataset + ".root"
|
| 61 |
|
|
if not os.path.exists(fileName):
|
| 62 |
|
|
continue
|
| 63 |
|
|
testFile = TFile(fileName)
|
| 64 |
|
|
if not (testFile.IsZombie()):
|
| 65 |
|
|
processed_datasets.append(dataset)
|
| 66 |
|
|
|
| 67 |
|
|
#### exit if no datasets found
|
| 68 |
|
|
if len(processed_datasets) is 0:
|
| 69 |
|
|
sys.exit("Can't find any output root files for the given list of datasets")
|
| 70 |
|
|
|
| 71 |
|
|
|
| 72 |
|
|
#open the first ROOT file and get the list of channels
|
| 73 |
|
|
channels = []
|
| 74 |
|
|
dataset_file = "%s/%s.root" % (condor_dir,processed_datasets[0])
|
| 75 |
|
|
inputFile = TFile(dataset_file)
|
| 76 |
|
|
inputFile.cd("OSUAnalysis")
|
| 77 |
|
|
|
| 78 |
|
|
for key in gDirectory.GetListOfKeys():
|
| 79 |
|
|
if (key.GetClassName() != "TDirectoryFile"):
|
| 80 |
|
|
continue
|
| 81 |
|
|
channels.append(key.GetName())
|
| 82 |
|
|
|
| 83 |
|
|
#get and store the yields and errors for each dataset
|
| 84 |
|
|
yields = {}
|
| 85 |
|
|
errors = {}
|
| 86 |
|
|
bgMCSum = {}
|
| 87 |
|
|
bgMCErrSquared = {}
|
| 88 |
lantonel |
1.3 |
processed_datasets_channels = {}
|
| 89 |
lantonel |
1.1 |
|
| 90 |
|
|
for channel in channels:
|
| 91 |
|
|
bgMCSum[channel] = 0
|
| 92 |
|
|
bgMCErrSquared[channel] = 0
|
| 93 |
lantonel |
1.3 |
processed_datasets_channels[channel] = []
|
| 94 |
|
|
|
| 95 |
lantonel |
1.1 |
for sample in processed_datasets:
|
| 96 |
|
|
yields[sample] = {}
|
| 97 |
|
|
errors[sample] = {}
|
| 98 |
|
|
dataset_file = "%s/%s.root" % (condor_dir,sample)
|
| 99 |
|
|
inputFile = TFile(dataset_file)
|
| 100 |
|
|
for channel in channels:
|
| 101 |
|
|
cutFlowHistogram = inputFile.Get("OSUAnalysis/"+channel+"CutFlow")
|
| 102 |
lantonel |
1.3 |
if not cutFlowHistogram:
|
| 103 |
|
|
print "WARNING: didn't find cutflow for ", sample, "dataset in", channel, "channel"
|
| 104 |
|
|
continue
|
| 105 |
|
|
processed_datasets_channels[channel].append(sample)
|
| 106 |
lantonel |
1.1 |
|
| 107 |
|
|
yield_ = cutFlowHistogram.GetBinContent(cutFlowHistogram.GetNbinsX())
|
| 108 |
|
|
error_ = cutFlowHistogram.GetBinError(cutFlowHistogram.GetNbinsX())
|
| 109 |
|
|
yields[sample][channel] = formatNumber(str(round_sigfigs(yield_,3)).rstrip("0").rstrip("."))
|
| 110 |
|
|
errors[sample][channel] = formatNumber(str(round_sigfigs(error_,3)).rstrip("0").rstrip("."))
|
| 111 |
|
|
|
| 112 |
|
|
if types[sample] is "bgMC":
|
| 113 |
|
|
bgMCSum[channel] = bgMCSum[channel] + yield_
|
| 114 |
|
|
bgMCErrSquared[channel] = bgMCErrSquared[channel] + error_*error_
|
| 115 |
lantonel |
1.3 |
|
| 116 |
lantonel |
1.1 |
inputFile.Close()
|
| 117 |
|
|
|
| 118 |
|
|
|
| 119 |
|
|
#write a table for each channel to a separate tex file
|
| 120 |
|
|
|
| 121 |
|
|
for channel in channels:
|
| 122 |
|
|
outputFile = condor_dir + "/yields_" + plainTextString(channel) + ".tex"
|
| 123 |
|
|
fout = open (outputFile, "w")
|
| 124 |
lantonel |
1.4 |
if(arguments.standAlone):
|
| 125 |
|
|
fout.write("\\documentclass{article}"+newLine+"\\begin{document}"+newLine)
|
| 126 |
lantonel |
1.1 |
fout.write ("\\makebox[0pt]{\\renewcommand{\\arraystretch}{1.2}\\begin{tabular}{lr}"+newLine+hLine)
|
| 127 |
|
|
|
| 128 |
lantonel |
1.2 |
fout.write("Event Source & Event Yield $\pm$ 1$\sigma$ (stat.)"+endLine+newLine+hLine)
|
| 129 |
lantonel |
1.1 |
|
| 130 |
|
|
#write a line for each background sample
|
| 131 |
|
|
bgMCcounter = 0
|
| 132 |
lantonel |
1.3 |
for sample in processed_datasets_channels[channel]:
|
| 133 |
lantonel |
1.1 |
if types[sample] is not "bgMC":
|
| 134 |
|
|
continue
|
| 135 |
|
|
bgMCcounter = bgMCcounter + 1
|
| 136 |
|
|
rawlabel = "$" + labels[sample] + "$"
|
| 137 |
|
|
label = rawlabel.replace("#","\\").replace("\\rightarrow","{\\rightarrow}").replace(" ","\\ ")
|
| 138 |
|
|
fout.write(label + " & " + yields[sample][channel] + " $\pm$ " + errors[sample][channel] + endLine + newLine)
|
| 139 |
|
|
|
| 140 |
|
|
#write a line with the sum of the backgrounds
|
| 141 |
|
|
if bgMCcounter is not 0:
|
| 142 |
lantonel |
1.3 |
|
| 143 |
|
|
bgMCSum_ = formatNumber(str(round_sigfigs(bgMCSum[channel],3)).rstrip("0").rstrip("."))
|
| 144 |
|
|
bgMCErr_ = formatNumber(str(round_sigfigs(math.sqrt(bgMCErrSquared[channel]),3)).rstrip("0").rstrip("."))
|
| 145 |
|
|
|
| 146 |
|
|
fout.write(hLine+"background sum & " + bgMCSum_ + " $\pm$ " + bgMCErr_ + endLine + newLine + hLine)
|
| 147 |
lantonel |
1.1 |
|
| 148 |
|
|
#write a line for each data sample
|
| 149 |
lantonel |
1.3 |
for sample in processed_datasets_channels[channel]:
|
| 150 |
lantonel |
1.1 |
if types[sample] is not "data":
|
| 151 |
|
|
continue
|
| 152 |
|
|
rawlabel = "$" + labels[sample] + "$"
|
| 153 |
|
|
label = rawlabel.replace("#","\\").replace("\\rightarrow","{\\rightarrow}").replace(" ","\\ ")
|
| 154 |
|
|
fout.write(label + " & " + yields[sample][channel] + " $\pm$ " + errors[sample][channel] + endLine + newLine)
|
| 155 |
|
|
|
| 156 |
lantonel |
1.4 |
fout.write("\\end{tabular}}"+newLine)
|
| 157 |
|
|
if(arguments.standAlone):
|
| 158 |
|
|
fout.write("\\end{document}"+newLine)
|
| 159 |
|
|
|
| 160 |
lantonel |
1.1 |
fout.close()
|
| 161 |
|
|
|
| 162 |
lantonel |
1.5 |
if arguments.standAlone:
|
| 163 |
|
|
#process tex files to make pdf files
|
| 164 |
|
|
command = "pdflatex -interaction=batchmode -output-directory=./%s %s > /dev/null" % (condor_dir,outputFile)
|
| 165 |
|
|
os.system(command)
|
| 166 |
|
|
os.system(command)
|
| 167 |
|
|
#os.system("rm %s" % outputFile)
|
| 168 |
|
|
os.system("rm %saux" % (outputFile.rstrip("tex")))
|
| 169 |
|
|
os.system("rm %slog" % (outputFile.rstrip("tex")))
|
| 170 |
|
|
print "Finished writing cutFlow to " + outputFile + " and compiling pdf"
|
| 171 |
|
|
|
| 172 |
|
|
|
| 173 |
|
|
|
