| 1 |
ahart |
1.1 |
#!/usr/bin/env python
|
| 2 |
|
|
import sys
|
| 3 |
|
|
import os
|
| 4 |
|
|
import re
|
| 5 |
|
|
from optparse import OptionParser
|
| 6 |
|
|
from array import *
|
| 7 |
|
|
from decimal import *
|
| 8 |
|
|
|
| 9 |
|
|
from OSUT3Analysis.Configuration.configurationOptions import *
|
| 10 |
|
|
from OSUT3Analysis.Configuration.processingUtilities import *
|
| 11 |
|
|
|
| 12 |
|
|
##set default plotting options
|
| 13 |
|
|
line_width = 2
|
| 14 |
|
|
plotting_options = ""
|
| 15 |
|
|
|
| 16 |
|
|
parser = OptionParser()
|
| 17 |
|
|
parser = set_commandline_arguments(parser)
|
| 18 |
|
|
|
| 19 |
|
|
parser.add_option("--hist", action="store_true", dest="plot_hist", default=False,
|
| 20 |
|
|
help="plot as hollow histograms instead of error bar crosses")
|
| 21 |
|
|
parser.add_option("--line-width", dest="line_width",
|
| 22 |
|
|
help="set line width (default is 2)")
|
| 23 |
|
|
parser.add_option("--pdf", action="store_true", dest="plot_savePdf", default=False,
|
| 24 |
|
|
help="save plot as pdf in addition")
|
| 25 |
|
|
|
| 26 |
|
|
(arguments, args) = parser.parse_args()
|
| 27 |
|
|
|
| 28 |
|
|
if arguments.localConfig:
|
| 29 |
|
|
sys.path.insert(0,os.getcwd())
|
| 30 |
|
|
exec("from " + arguments.localConfig.rstrip('.py') + " import *")
|
| 31 |
|
|
|
| 32 |
|
|
outputFileName = "mc_fit_to_data.root"
|
| 33 |
|
|
if arguments.outputFileName:
|
| 34 |
|
|
outputFileName = arguments.outputFileName
|
| 35 |
|
|
pdfFileName = outputFileName[:-5] + ".pdf"
|
| 36 |
|
|
|
| 37 |
|
|
condor_dir = set_condor_output_dir(arguments)
|
| 38 |
|
|
|
| 39 |
|
|
if arguments.makeRatioPlots and arguments.makeDiffPlots:
|
| 40 |
|
|
print "You have requested both ratio and difference plots. Will make just ratio plots instead"
|
| 41 |
|
|
arguments.makeRatioPlots = False
|
| 42 |
|
|
|
| 43 |
|
|
from ROOT import TFile, gROOT, gStyle, gDirectory, TStyle, THStack, TH1F, TCanvas, TString, TLegend, TArrow, THStack, TIter, TKey, TPaveLabel, TPaveText, TF1, gPad
|
| 44 |
|
|
sys.argv = []
|
| 45 |
|
|
gROOT.SetBatch()
|
| 46 |
|
|
gStyle.SetOptStat(0)
|
| 47 |
|
|
gStyle.SetCanvasBorderMode(0)
|
| 48 |
|
|
gStyle.SetPadBorderMode(0)
|
| 49 |
|
|
gStyle.SetPadColor(0)
|
| 50 |
|
|
gStyle.SetCanvasColor(0)
|
| 51 |
|
|
gStyle.SetTextFont(42)
|
| 52 |
|
|
gROOT.ForceStyle()
|
| 53 |
|
|
|
| 54 |
|
|
outputFile = TFile(outputFileName, "RECREATE")
|
| 55 |
|
|
|
| 56 |
|
|
datasets_needed = []
|
| 57 |
|
|
for histogram in input_histograms:
|
| 58 |
|
|
for dataset in histogram['datasets']:
|
| 59 |
|
|
if dataset not in datasets_needed:
|
| 60 |
|
|
datasets_needed.append(dataset)
|
| 61 |
|
|
if histogram['target_dataset'] not in datasets_needed:
|
| 62 |
|
|
datasets_needed.append(histogram['target_dataset'])
|
| 63 |
|
|
|
| 64 |
|
|
weight = intLumi / 10000.0
|
| 65 |
|
|
for dataset in datasets_needed:
|
| 66 |
|
|
dataset_file = "%s/%s.root" % (condor_dir,dataset)
|
| 67 |
|
|
fin = TFile (dataset_file)
|
| 68 |
|
|
flags = fin.Get ("flags")
|
| 69 |
|
|
noWeights = flags and flags.GetBinContent (1)
|
| 70 |
|
|
fin.Close ()
|
| 71 |
|
|
|
| 72 |
|
|
if types[dataset] != "data" and not noWeights:
|
| 73 |
|
|
os.system("mergeTFileServiceHistograms -i %s -o %s -w %g" % (dataset_file, dataset_file + "_tmp", weight))
|
| 74 |
|
|
else:
|
| 75 |
|
|
os.system("mergeTFileServiceHistograms -i %s -o %s -w %g" % (dataset_file, dataset_file + "_tmp", 1.0))
|
| 76 |
|
|
|
| 77 |
|
|
for histogram in input_histograms:
|
| 78 |
|
|
HistogramsToFit = []
|
| 79 |
|
|
HistogramDatasets = []
|
| 80 |
|
|
TargetDataset = histogram['target_dataset']
|
| 81 |
|
|
|
| 82 |
|
|
Stack = []
|
| 83 |
|
|
Stack.append (THStack("stack_before",histogram['name']))
|
| 84 |
|
|
Stack.append (THStack("stack_after",histogram['name']))
|
| 85 |
|
|
|
| 86 |
|
|
if(intLumi < 1000.):
|
| 87 |
|
|
LumiText = "L_{int} = " + str(intLumi) + " pb^{-1}"
|
| 88 |
|
|
else:
|
| 89 |
|
|
getcontext().prec = 2
|
| 90 |
|
|
LumiInFb = intLumi/1000.
|
| 91 |
|
|
LumiText = "L_{int} = " + str(LumiInFb) + " fb^{-1}"
|
| 92 |
|
|
|
| 93 |
|
|
LumiLabel = TPaveLabel(0.1,0.8,0.34,0.9,LumiText,"NDC")
|
| 94 |
|
|
LumiLabel.SetBorderSize(0)
|
| 95 |
|
|
LumiLabel.SetFillColor(0)
|
| 96 |
|
|
LumiLabel.SetFillStyle(0)
|
| 97 |
|
|
|
| 98 |
|
|
Label = TPaveText(0.34, 0.7, 0.64, 0.9,"NDC")
|
| 99 |
|
|
Label.SetBorderSize(0)
|
| 100 |
|
|
Label.SetFillColor(0)
|
| 101 |
|
|
Label.SetFillStyle(0)
|
| 102 |
|
|
Label.SetTextAlign(12)
|
| 103 |
|
|
|
| 104 |
|
|
BgMCLegend = TLegend(0.70,0.65,0.94,0.89, "Data & Bkgd. MC")
|
| 105 |
|
|
BgMCLegend.SetBorderSize(0)
|
| 106 |
|
|
BgMCLegend.SetFillColor(0)
|
| 107 |
|
|
BgMCLegend.SetFillStyle(0)
|
| 108 |
|
|
|
| 109 |
|
|
scaleFactor = 1
|
| 110 |
|
|
|
| 111 |
|
|
numBgMCSamples = 0
|
| 112 |
|
|
numDataSamples = 0
|
| 113 |
|
|
numSignalSamples = 0
|
| 114 |
|
|
|
| 115 |
|
|
fileName = condor_dir + "/" + histogram['target_dataset'] + ".root_tmp"
|
| 116 |
|
|
if not os.path.exists(fileName):
|
| 117 |
|
|
continue
|
| 118 |
|
|
inputFile = TFile(fileName)
|
| 119 |
|
|
if inputFile.IsZombie() or not inputFile.GetNkeys():
|
| 120 |
|
|
continue
|
| 121 |
|
|
|
| 122 |
|
|
Target = inputFile.Get("OSUAnalysis/"+histogram['channel']+"/"+histogram['name']).Clone()
|
| 123 |
|
|
Target.SetDirectory(0)
|
| 124 |
|
|
inputFile.Close()
|
| 125 |
|
|
|
| 126 |
|
|
numDataSamples += 1
|
| 127 |
|
|
|
| 128 |
|
|
Target.SetFillStyle(0)
|
| 129 |
|
|
Target.SetLineColor(colors[TargetDataset])
|
| 130 |
|
|
Target.SetLineStyle(1)
|
| 131 |
|
|
Target.SetLineWidth(2)
|
| 132 |
|
|
|
| 133 |
|
|
BgMCLegend.AddEntry(Target,labels[TargetDataset],"LEP")
|
| 134 |
|
|
|
| 135 |
|
|
xAxisLabel = Target.GetXaxis().GetTitle()
|
| 136 |
|
|
histoTitle = Target.GetTitle()
|
| 137 |
|
|
|
| 138 |
|
|
if not outputFile.Get ("OSUAnalysis"):
|
| 139 |
|
|
outputFile.mkdir ("OSUAnalysis")
|
| 140 |
|
|
if not outputFile.Get ("OSUAnalysis/" + histogram['channel']):
|
| 141 |
|
|
outputFile.Get ("OSUAnalysis").mkdir (histogram['channel'])
|
| 142 |
|
|
|
| 143 |
|
|
for dataset in histogram['datasets']:
|
| 144 |
|
|
fileName = condor_dir + "/" + dataset + ".root_tmp"
|
| 145 |
|
|
if not os.path.exists(fileName):
|
| 146 |
|
|
continue
|
| 147 |
|
|
inputFile = TFile(fileName)
|
| 148 |
|
|
if inputFile.IsZombie() or not inputFile.GetNkeys():
|
| 149 |
|
|
continue
|
| 150 |
|
|
|
| 151 |
|
|
Histogram = inputFile.Get("OSUAnalysis/"+histogram['channel']+"/"+histogram['name']).Clone()
|
| 152 |
|
|
Histogram.SetDirectory(0)
|
| 153 |
|
|
inputFile.Close()
|
| 154 |
|
|
|
| 155 |
|
|
if arguments.rebinFactor:
|
| 156 |
|
|
RebinFactor = int(arguments.rebinFactor)
|
| 157 |
|
|
if Histogram.GetNbinsX() >= RebinFactor*10:
|
| 158 |
|
|
Histogram.Rebin(RebinFactor)
|
| 159 |
|
|
|
| 160 |
|
|
numBgMCSamples += 1
|
| 161 |
|
|
|
| 162 |
|
|
if(arguments.noStack):
|
| 163 |
|
|
Histogram.SetFillStyle(0)
|
| 164 |
|
|
Histogram.SetLineColor(colors[dataset])
|
| 165 |
|
|
Histogram.SetLineWidth(2)
|
| 166 |
|
|
BgMCLegend.AddEntry(Histogram,labels[dataset],"L")
|
| 167 |
|
|
else:
|
| 168 |
|
|
Histogram.SetFillStyle(1001)
|
| 169 |
|
|
Histogram.SetFillColor(colors[dataset])
|
| 170 |
|
|
Histogram.SetLineColor(1)
|
| 171 |
|
|
Histogram.SetLineWidth(1)
|
| 172 |
|
|
BgMCLegend.AddEntry(Histogram,labels[dataset],"F")
|
| 173 |
|
|
Histogram.SetLineStyle(1)
|
| 174 |
|
|
|
| 175 |
|
|
HistogramsToFit.append(Histogram)
|
| 176 |
|
|
HistogramDatasets.append(dataset)
|
| 177 |
|
|
|
| 178 |
|
|
def fitf (x, par):
|
| 179 |
|
|
xBin = HistogramsToFit[0].FindBin (x[0])
|
| 180 |
|
|
value = 0.0
|
| 181 |
|
|
|
| 182 |
|
|
for i in range (0, len (HistogramsToFit)):
|
| 183 |
|
|
value += par[i] * HistogramsToFit[i].GetBinContent (xBin)
|
| 184 |
|
|
|
| 185 |
|
|
return value
|
| 186 |
|
|
|
| 187 |
|
|
lowerLimit = Target.GetBinLowEdge (1)
|
| 188 |
|
|
upperLimit = Target.GetBinLowEdge (Target.GetNbinsX ()) + Target.GetBinWidth (Target.GetNbinsX ())
|
| 189 |
|
|
if 'lowerLimit' in histogram:
|
| 190 |
|
|
lowerLimit = histogram['lowerLimit']
|
| 191 |
|
|
if 'upperLimit' in histogram:
|
| 192 |
|
|
upperLimit = histogram['upperLimit']
|
| 193 |
|
|
func = TF1 ("fit", fitf, lowerLimit, upperLimit, len (HistogramsToFit))
|
| 194 |
|
|
|
| 195 |
|
|
for i in range (0, len (HistogramsToFit)):
|
| 196 |
|
|
func.SetParameter (i, 1.0)
|
| 197 |
|
|
func.SetParLimits (i, 0.0, 10.0)
|
| 198 |
|
|
func.SetParName (i, labels[HistogramDatasets[i]])
|
| 199 |
|
|
|
| 200 |
|
|
for i in range (0, histogram['iterations'] - 1):
|
| 201 |
|
|
print "Iteration " + str (i + 1) + "..."
|
| 202 |
|
|
Target.Fit ("fit", "QEMR0")
|
| 203 |
|
|
Target.Fit ("fit", "VEMR0")
|
| 204 |
|
|
|
| 205 |
|
|
func.SetLineWidth (line_width)
|
| 206 |
|
|
func.SetLineColor (632)
|
| 207 |
|
|
|
| 208 |
|
|
Target.SetMarkerStyle (20)
|
| 209 |
|
|
Target.SetMarkerColor (1)
|
| 210 |
|
|
Target.SetLineColor (1)
|
| 211 |
|
|
|
| 212 |
|
|
Canvas = TCanvas(histogram['name'])
|
| 213 |
|
|
Canvas.cd (1)
|
| 214 |
|
|
Target.Draw ()
|
| 215 |
|
|
func.Draw (plotting_options + "same")
|
| 216 |
|
|
|
| 217 |
|
|
outputFile.cd ("OSUAnalysis/" + histogram['channel'])
|
| 218 |
|
|
Canvas.Write ()
|
| 219 |
|
|
if arguments.plot_savePdf:
|
| 220 |
|
|
if histogram == input_histograms[0]:
|
| 221 |
|
|
Canvas.Print (pdfFileName + "(", "pdf")
|
| 222 |
|
|
else:
|
| 223 |
|
|
Canvas.Print (pdfFileName, "pdf")
|
| 224 |
|
|
Target.SetStats (0)
|
| 225 |
|
|
|
| 226 |
|
|
for i in range (0, 2):
|
| 227 |
|
|
|
| 228 |
|
|
if i == 1:
|
| 229 |
|
|
for j in range (0, len (HistogramsToFit)):
|
| 230 |
|
|
HistogramsToFit[j].Scale (func.GetParameter (j))
|
| 231 |
|
|
|
| 232 |
|
|
for bgMCHist in HistogramsToFit:
|
| 233 |
|
|
if not arguments.noStack:
|
| 234 |
|
|
Stack[i].Add(bgMCHist)
|
| 235 |
|
|
|
| 236 |
|
|
finalMax = 0
|
| 237 |
|
|
if not arguments.noStack:
|
| 238 |
|
|
finalMax = Stack[i].GetMaximum()
|
| 239 |
|
|
else:
|
| 240 |
|
|
for bgMCHist in HistogramsToFit:
|
| 241 |
|
|
if(bgMCHist.GetMaximum() > finalMax):
|
| 242 |
|
|
finalMax = bgMCHist.GetMaximum()
|
| 243 |
|
|
if(Target.GetMaximum() > finalMax):
|
| 244 |
|
|
finalMax = Target.GetMaximum()
|
| 245 |
|
|
|
| 246 |
|
|
makeRatioPlots = arguments.makeRatioPlots
|
| 247 |
|
|
makeDiffPlots = arguments.makeDiffPlots
|
| 248 |
|
|
if i == 0:
|
| 249 |
|
|
Canvas = TCanvas(histogram['name'] + "_Before")
|
| 250 |
|
|
if i == 1:
|
| 251 |
|
|
Canvas = TCanvas(histogram['name'] + "_After")
|
| 252 |
|
|
if makeRatioPlots or makeDiffPlots:
|
| 253 |
|
|
Canvas.SetFillStyle(0)
|
| 254 |
|
|
Canvas.Divide(1,2)
|
| 255 |
|
|
Canvas.cd(1)
|
| 256 |
|
|
gPad.SetPad(0.01,0.25,0.99,0.99)
|
| 257 |
|
|
gPad.SetMargin(0.1,0.05,0.02,0.07)
|
| 258 |
|
|
gPad.SetFillStyle(0)
|
| 259 |
|
|
gPad.Update()
|
| 260 |
|
|
gPad.Draw()
|
| 261 |
|
|
Canvas.cd(2)
|
| 262 |
|
|
gPad.SetPad(0.01,0.01,0.99,0.25)
|
| 263 |
|
|
#format: gPad.SetMargin(l,r,b,t)
|
| 264 |
|
|
gPad.SetMargin(0.1,0.05,0.4,0.02)
|
| 265 |
|
|
gPad.SetFillStyle(0)
|
| 266 |
|
|
gPad.SetGridy(1)
|
| 267 |
|
|
gPad.Update()
|
| 268 |
|
|
gPad.Draw()
|
| 269 |
|
|
|
| 270 |
|
|
Canvas.cd(1)
|
| 271 |
|
|
|
| 272 |
|
|
if not arguments.noStack:
|
| 273 |
|
|
Stack[i].SetTitle(histoTitle)
|
| 274 |
|
|
Stack[i].Draw("HIST")
|
| 275 |
|
|
Stack[i].GetXaxis().SetTitle(xAxisLabel)
|
| 276 |
|
|
Stack[i].SetMaximum(1.1*finalMax)
|
| 277 |
|
|
Stack[i].SetMinimum(0.0001)
|
| 278 |
|
|
if makeRatioPlots or makeDiffPlots:
|
| 279 |
|
|
Stack[i].GetHistogram().GetXaxis().SetLabelSize(0)
|
| 280 |
|
|
else:
|
| 281 |
|
|
HistogramsToFit[0].SetTitle(histoTitle)
|
| 282 |
|
|
HistogramsToFit[0].Draw("HIST")
|
| 283 |
|
|
HistogramsToFit[0].GetXaxis().SetTitle(xAxisLabel)
|
| 284 |
|
|
HistogramsToFit[0].SetMaximum(1.1*finalMax)
|
| 285 |
|
|
HistogramsToFit[0].SetMinimum(0.0001)
|
| 286 |
|
|
for bgMCHist in HistogramsToFit:
|
| 287 |
|
|
bgMCHist.Draw("HIST SAME")
|
| 288 |
|
|
|
| 289 |
|
|
dataYield = Target.Integral (1, Target.GetNbinsX ())
|
| 290 |
|
|
mcYield = 0.0
|
| 291 |
|
|
for bgMCHist in HistogramsToFit:
|
| 292 |
|
|
mcYield += bgMCHist.Integral (1, bgMCHist.GetNbinsX ())
|
| 293 |
|
|
Label.Clear ()
|
| 294 |
|
|
if i == 0:
|
| 295 |
|
|
Label.AddText ("Before Fit to Data")
|
| 296 |
|
|
if i == 1:
|
| 297 |
|
|
Label.AddText ("After Fit to Data")
|
| 298 |
|
|
Label.AddText ("data yield: " + str (dataYield))
|
| 299 |
|
|
Label.AddText ("MC yield: " + str (mcYield))
|
| 300 |
|
|
|
| 301 |
|
|
Target.Draw("E SAME")
|
| 302 |
|
|
BgMCLegend.Draw()
|
| 303 |
|
|
LumiLabel.Draw()
|
| 304 |
|
|
Label.Draw()
|
| 305 |
|
|
|
| 306 |
|
|
if makeRatioPlots or makeDiffPlots:
|
| 307 |
|
|
Canvas.cd(2)
|
| 308 |
|
|
BgSum = Stack[i].GetStack().Last()
|
| 309 |
|
|
Comparison = Target.Clone()
|
| 310 |
|
|
Comparison.Add(BgSum,-1)
|
| 311 |
|
|
if not makeDiffPlots:
|
| 312 |
|
|
Comparison.Divide(BgSum)
|
| 313 |
|
|
Comparison.SetTitle("")
|
| 314 |
|
|
Comparison.GetXaxis().SetTitle(xAxisLabel)
|
| 315 |
|
|
if makeRatioPlots:
|
| 316 |
|
|
Comparison.GetYaxis().SetTitle("#frac{Data-MC}{MC}")
|
| 317 |
|
|
elif makeDiffPlots:
|
| 318 |
|
|
Comparison.GetYaxis().SetTitle("Data-MC")
|
| 319 |
|
|
Comparison.GetYaxis().CenterTitle()
|
| 320 |
|
|
Comparison.GetYaxis().SetTitleSize(0.1)
|
| 321 |
|
|
Comparison.GetYaxis().SetTitleOffset(0.35)
|
| 322 |
|
|
Comparison.GetXaxis().SetTitleSize(0.15)
|
| 323 |
|
|
Comparison.GetYaxis().SetLabelSize(0.1)
|
| 324 |
|
|
Comparison.GetXaxis().SetLabelSize(0.15)
|
| 325 |
|
|
if makeRatioPlots:
|
| 326 |
|
|
Comparison.GetYaxis().SetRangeUser(-1,1)
|
| 327 |
|
|
elif makeDiffPlots:
|
| 328 |
|
|
YMax = Comparison.GetMaximum()
|
| 329 |
|
|
YMin = Comparison.GetMinimum()
|
| 330 |
|
|
if YMax <= 0 and YMin <= 0:
|
| 331 |
|
|
Comparison.GetYaxis().SetRangeUser(-1.2*YMin,0)
|
| 332 |
|
|
elif YMax >= 0 and YMin >= 0:
|
| 333 |
|
|
Comparison.GetYaxis().SetRangeUser(0,1.2*YMax)
|
| 334 |
|
|
else: #axis crosses y=0
|
| 335 |
|
|
if abs(YMax) > abs(YMin):
|
| 336 |
|
|
Comparison.GetYaxis().SetRangeUser(-1.2*YMax,1.2*YMax)
|
| 337 |
|
|
else:
|
| 338 |
|
|
Comparison.GetYaxis().SetRangeUser(-1.2*YMin,1.2*YMin)
|
| 339 |
|
|
|
| 340 |
|
|
Comparison.GetYaxis().SetNdivisions(205)
|
| 341 |
|
|
Comparison.Draw()
|
| 342 |
|
|
|
| 343 |
|
|
outputFile.cd ("OSUAnalysis/" + histogram['channel'])
|
| 344 |
|
|
if i == 0:
|
| 345 |
|
|
Canvas.Write (histogram['name'] + "_Before")
|
| 346 |
|
|
if arguments.plot_savePdf:
|
| 347 |
|
|
Canvas.Print (pdfFileName, "pdf")
|
| 348 |
|
|
if i == 1:
|
| 349 |
|
|
Canvas.Write (histogram['name'] + "_After")
|
| 350 |
|
|
if arguments.plot_savePdf:
|
| 351 |
|
|
if histogram == input_histograms[-1]:
|
| 352 |
|
|
Canvas.Print (pdfFileName + ")", "pdf")
|
| 353 |
|
|
else:
|
| 354 |
|
|
Canvas.Print (pdfFileName, "pdf")
|
| 355 |
|
|
|
| 356 |
|
|
outputFile.Close ()
|
| 357 |
|
|
|
| 358 |
|
|
for dataset in datasets_needed:
|
| 359 |
|
|
dataset_file = "%s/%s.root_tmp" % (condor_dir,dataset)
|
| 360 |
|
|
os.remove(dataset_file)
|
