| 11 |
|
|
| 12 |
|
def getScale(job,path,config,rescale,subsample=-1): |
| 13 |
|
anaTag=config.get('Analysis','tag') |
| 14 |
< |
input = TFile.Open(path+'/'+job.getpath()) |
| 15 |
< |
CountWithPU = input.Get("CountWithPU") |
| 16 |
< |
CountWithPU2011B = input.Get("CountWithPU2011B") |
| 14 |
> |
inputfile = TFile.Open(path+'/'+job.getpath()) |
| 15 |
> |
CountWithPU = inputfile.Get("CountWithPU") |
| 16 |
> |
CountWithPU2011B = inputfile.Get("CountWithPU2011B") |
| 17 |
|
#print lumi*xsecs[i]/hist.GetBinContent(1) |
| 18 |
|
|
| 19 |
|
if subsample>-1: |
| 20 |
< |
xsec=float(job.xsec[subsample]) |
| 20 |
> |
if type(job.xsec[subsample]) == str: xsec=float(eval(job.xsec[subsample])) |
| 21 |
> |
else: xsec=float(job.xsec[subsample]) |
| 22 |
|
sf=float(job.sf[subsample]) |
| 23 |
|
else: |
| 24 |
< |
xsec=float(job.xsec) |
| 24 |
> |
if type(job.xsec) == str: xsec=float(eval(job.xsec)) |
| 25 |
> |
else: xsec=float(job.xsec) |
| 26 |
|
sf=float(job.sf) |
| 27 |
|
|
| 28 |
|
|
| 31 |
|
theScale = float(job.lumi)*xsec*sf/(0.46502*CountWithPU.GetBinContent(1)+0.53498*CountWithPU2011B.GetBinContent(1))*rescale/float(job.split) |
| 32 |
|
elif anaTag == '8TeV': |
| 33 |
|
theScale = float(job.lumi)*xsec*sf/(CountWithPU.GetBinContent(1))*rescale/float(job.split) |
| 34 |
+ |
inputfile.Close() |
| 35 |
|
return theScale |
| 36 |
|
|
| 37 |
|
def getHistoFromTree(job,path,config,options,rescale=1,subsample=-1,which_weightF='weightF'): |
| 53 |
|
#addOverFlow=eval(config.get('Plot_general','addOverFlow')) |
| 54 |
|
addOverFlow = False |
| 55 |
|
|
| 56 |
+ |
TrainFlag = eval(config.get('Analysis','TrainFlag')) |
| 57 |
+ |
if TrainFlag: traincut = " & EventForTraining == 0" |
| 58 |
+ |
if not TrainFlag: traincut="" |
| 59 |
+ |
|
| 60 |
|
if job.type != 'DATA': |
| 61 |
|
|
| 62 |
|
if type(options[7])==str: |
| 66 |
|
cutcut=cutcut.replace(options[7][1],options[7][2]) |
| 67 |
|
#print cutcut |
| 68 |
|
if subsample>-1: |
| 69 |
< |
treeCut='%s & %s & EventForTraining == 0'%(cutcut,job.subcuts[subsample]) |
| 69 |
> |
treeCut='%s & %s%s'%(cutcut,job.subcuts[subsample],traincut) |
| 70 |
|
else: |
| 71 |
< |
treeCut='%s & EventForTraining == 0'%(cutcut) |
| 71 |
> |
treeCut='%s%s'%(cutcut,traincut) |
| 72 |
|
|
| 73 |
|
elif job.type == 'DATA': |
| 74 |
|
cutcut=config.get('Cuts',options[8]) |
| 148 |
|
num=[0]*len(setup) |
| 149 |
|
for i in range(0,len(setup)): |
| 150 |
|
for j in range(0,len(histos)): |
| 151 |
< |
if typs[j] in setup[i]: |
| 151 |
> |
if typs[j] == setup[i]: |
| 152 |
|
num[i]+=1 |
| 153 |
|
ordnung.append(histos[j]) |
| 154 |
|
ordnungtyp.append(typs[j]) |
