def showRatios(ratios, outUrl):
"""shows the ratio plots"""
ROOT.gStyle.SetOptTitle(0)
ROOT.gStyle.SetOptStat(0)
ROOT.gROOT.SetBatch(True)
os.system('rm %s' % outUrl)
outDir = os.path.dirname(outUrl)
COLOURS = [1, '#f4a582', '#bababa', '#abdda4']
for key in ratios:
p = Plot(key + '_ratio', com='13 TeV')
p.doPoissonErrorBars = False
p.ratiorange = (0.68, 1.34)
p.spimposeWithErrors = True
ic = 0
for h in ratios[key]:
p.add(h=h,
title=h.GetTitle(),
color=COLOURS[ic],
isData=False,
spImpose=True,
isSyst=False)
ic += 1
p.show(outDir=outDir,
lumi=41400,
noStack=False,
saveTeX=False,
noRatio=True)
p.appendTo(outUrl)
p.reset()
def main(args):
parser = argparse.ArgumentParser(description='usage: %prog [options]')
parser.add_argument(
'-i',
'--input',
dest='input',
default=
'/eos/cms/store/cmst3/user/psilva/ExclusiveAna/final/ab05162/analysis_0p04/',
help='input directory with the files [default: %default]')
parser.add_argument(
'--sig',
dest='sig',
default=
'{boson}_m_X_{mass}_xangle_{xangle}_2017_preTS2_opt_v1_simu_reco.root',
help='signal point [%default]')
parser.add_argument('--massList',
dest='massList',
default='800,1000,1200',
help='signal mass list (CSV) [%default]')
parser.add_argument(
'--selCuts',
dest='selCuts',
default='bosonpt>40 && l1pt>30 && l2pt>20',
help='preselection for Z categories [default: %default]')
parser.add_argument('--doPerAngle',
dest='doPerAngle',
default=False,
help='do per crossing angle [default: %default]',
action='store_true')
parser.add_argument('--lumi',
dest='lumi',
default=37500.,
type=float,
help='integrated luminosity [default: %default]')
parser.add_argument('-o',
'--output',
dest='output',
default='analysis/bkg',
help='Output directory [default: %default]')
opt = parser.parse_args(args)
ROOT.gROOT.SetBatch(True)
ROOT.gStyle.SetOptTitle(0)
ROOT.gStyle.SetOptStat(0)
os.system('mkdir -p %s' % opt.output)
selCuts = [(opt.selCuts, '', 'e#mu')]
if opt.doPerAngle:
for xangle in VALIDLHCXANGLES:
selCuts.append((opt.selCuts + ' && xangle==%d' % xangle,
'_%d' % xangle, 'e#mu, %d #murad' % xangle))
for cuts, pfix, catTitle in selCuts:
os.system('rm %s/plotter_%s.root' % (opt.output, pfix))
data = fillShapes(inputDir=opt.input, selCuts=cuts, proc='MuonEG')
#sigs={}
#for m in opt.massList.split():
# if not m in sigs: sigs[m]={}
# for xangle in VALIDLHCXANGLES:
# newSigs=fillShapes(inputDir=opt.input,selCuts=opt.selCuts,tag=opt.sig.format(mass=m,xangle=xangle))
# for dist in newSigs:
# if not dist in sigs[m]:
# sigs[m]=newSigs[dist]['data'].Clone('{0}_{1}'.format(dist,m))
# #FIXME scale me according to xsec
#FIXME plot me
for dist in data:
pname = dist + pfix
for c in [':', ',', '>', '=', '(', ')', '-', '<', '?']:
pname = pname.replace(c, '')
p = Plot(pname)
p.doChi2 = True
p.nominalDistForSystsName = 'background'
#if dist=='mmiss':
# newBins=range(0,1000,40)+[1000,1100,1200,1500,2000]
# print 'Rebinning',dist,'to',newBins
# for k in data[dist]:
# data[dist][k]=rebinUnequalBinSize(data[dist][k],newBins)
#main distributions
#doDivideByBinWidth=True if dist=='mmiss' or dist=='(bosony>=0?mmiss:-mmiss)' else False
#if doDivideByBinWidth:
# p.doPoissonErrorBars=False
p.add(data[dist]['data'],
title='data',
color=ROOT.kBlack,
isData=True,
spImpose=False,
isSyst=False) #,doDivideByBinWidth=doDivideByBinWidth)
p.add(data[dist]['bkg'],
title='background',
color=ROOT.TColor.GetColor('#1f78b4'),
isData=False,
spImpose=False,
isSyst=False) #,doDivideByBinWidth=doDivideByBinWidth)
#background systematics
for syst in [
'{0}_bkgshape_MuonEG_obsUp', '{0}_bkgshape_MuonEG_obsDown',
'{0}_bkgsinglediff_MuonEG_obsDown',
'{0}_bkgsinglediff_MuonEG_obsUp'
]:
p.add(data[dist][syst.format(dist)],
title=syst,
color=ROOT.TColor.GetColor('#1f78b4'),
isData=False,
spImpose=False,
isSyst=True)
#doDivideByBinWidth=doDivideByBinWidth)
#p.ratiorange=[0.78,1.22]
#p.ratiorange=[0.58,1.42]
p.ratiorange = [0., 2.]
p.show(opt.output, opt.lumi, extraText=catTitle)
p.appendTo('%s/plotter_%s.root' % (opt.output, pfix))
p.reset()
def main(args):
parser = argparse.ArgumentParser(description='usage: %prog [options]')
parser.add_argument(
'-i',
'--input',
dest='input',
default=
'/eos/cms/store/cmst3/user/psilva/ExclusiveAna/final/ab05162/analysis_0p04/',
help='input directory with the files [default: %default]')
parser.add_argument(
'--selCuts',
dest='selCuts',
default='bosonpt>40 && l1pt>30 && l2pt>20',
help='preselection for Z categories [default: %default]')
parser.add_argument('--doPerNch',
dest='doPerNch',
default=False,
action='store_true',
help='break-down per Nch [default: %default]')
parser.add_argument('--doPerEra',
dest='doPerEra',
default=False,
action='store_true',
help='break-down per era [default: %default]')
parser.add_argument(
'--doPerPU',
dest='doPerPU',
default=False,
action='store_true',
help='break-down per pileup category [default: %default]')
parser.add_argument('--doPerAngle',
dest='doPerAngle',
default=False,
action='store_true',
help='break-down per angle [default: %default]')
parser.add_argument('--lumi',
dest='lumi',
default=37500.,
type=float,
help='integrated luminosity [default: %default]')
parser.add_argument('-o',
'--output',
dest='output',
default='analysis/bkg',
help='Output directory [default: %default]')
opt = parser.parse_args(args)
ROOT.gROOT.SetBatch(True)
ROOT.gStyle.SetOptTitle(0)
ROOT.gStyle.SetOptStat(0)
os.system('mkdir -p %s' % opt.output)
#do all possible combinations of these categories
baseCats = ['protonCat==%d' % (i + 1) for i in range(4)]
subCats = ['']
if opt.doPerEra: subCats += ['era==%d' % int(ord(x)) for x in 'BCDEF']
if opt.doPerPU: subCats += ['nvtx<20', 'nvtx>=20']
if opt.doPerAngle:
subCats += ['xangle==%d' % i for i in [120, 130, 140, 150]]
if opt.doPerNch: subCats += ['nch<15', 'nch>=15']
catList = list(itertools.product(baseCats, subCats))
outF = '%s/plotter_embkg.root' % opt.output
os.system('rm %s' % outF)
print '[doBackgroundValidation] with %d variations to test' % len(catList)
print '\t output will be available in', outF
for i, cat in enumerate(catList):
selCut = ''
for c in cat:
if len(c) == 0: continue
selCut += '%s&&' % c
selCut += opt.selCuts
titleCut = parseTitleFromCut(selCut)
print '\t', i, selCut
data = fillShapes(inputDir=opt.input, selCuts=selCut, proc='MuonEG')
for dist in data:
pname = '%s_%d' % (dist, i)
for c in [':', ',', '>', '=', '(', ')', '-', '<', '?']:
pname = pname.replace(c, '')
p = Plot(pname)
p.doChi2 = False #True
p.nominalDistForSystsName = 'background'
#if dist=='mmiss':
# newBins=range(0,1000,40)+[1000,1100,1200,1500,2000]
# print 'Rebinning',dist,'to',newBins
# for k in data[dist]:
# data[dist][k]=rebinUnequalBinSize(data[dist][k],newBins)
p.add(data[dist]['data'],
title='data',
color=ROOT.kBlack,
isData=True,
spImpose=False,
isSyst=False)
p.add(data[dist]['bkg'],
title='background',
color=ROOT.kCyan - 6,
isData=False,
spImpose=False,
isSyst=False)
#background systematics
ci = 1
for syst in [
'{0}_bkgshape_MuonEG_obsUp',
'{0}_bkgshape_MuonEG_obsDown',
'{0}_bkgsinglediffUp_MuonEG_obs',
'{0}_bkgsinglediffDown_MuonEG_obs',
]:
ci = ci + 1
p.add(
data[dist][syst.format(dist)],
title=syst,
color=ROOT.kCyan - 6, #ci
isData=False,
spImpose=False, #True,
isSyst=True) #False)
#p.ratiorange=[0.78,1.22]
p.ratiorange = [0.58, 1.43]
p.show(opt.output, opt.lumi, extraText='\\'.join(titleCut))
p.appendTo(outF)
p.reset()
