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make_shape_hists.py
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make_shape_hists.py
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import os
import sys
import ROOT as r
from tqdm import tqdm
import itertools
from multiprocessing import Pool as ThreadPool
verbose_ = True
def avoid_negative_yields(h):
for ix in range(1,h.GetNbinsX()+1):
v = h.GetBinContent(ix)
if v < 0:
if verbose_: print "[!] Bin {} of {} has yield {}".format(ix,h,v)
# h.SetBinContent(ix,1.0e-6)
h.SetBinContent(ix,0.0)
def write_stat_up_down(h,name,isdown):
updown = "Down" if isdown else "Up"
tmp = "{}_stat{}".format(name,updown)
sud = r.TH1F(tmp,tmp,h.GetNbinsX(),h.GetXaxis().GetXmin(),h.GetXaxis().GetXmax())
for ix in range(1,h.GetNbinsX()+1):
v = h.GetBinContent(ix)
e = h.GetBinError(ix)
if v >= 0: sud.SetBinContent(ix, max(v-e,0.) if isdown else v+e)
else: sud.SetBinContent(ix,0.)
sud.Write()
def write_stat(h,name):
write_stat_up_down(h,name,isdown=False)
write_stat_up_down(h,name,isdown=True)
def write_hthlt_syst(h,name,val=1.02):
syst_up = h.Clone("hthltUp")
syst_up.SetTitle("hthltUp")
for ix in range(1,h.GetNbinsX()+1):
v = h.GetBinContent(ix)
if v > 0: syst_up.SetBinContent(ix, v*val)
syst_down = h.Clone("hthltDown")
syst_down.SetTitle("hthltUp")
fill_down_mirror_up(h,syst_up,syst_down)
syst_up.Write()
syst_down.Write()
def fill_down_mirror_up(h,hup,hdown):
hdown.Reset()
hdown.Add(hup)
hdown.Scale(-1)
hdown.Add(h)
hdown.Add(h)
avoid_negative_yields(hdown)
def avoid_zero_integrals(h,h_var):
if h_var.Integral() <= 0:
h_var.Reset()
h_var.Add(h)
h_var.Scale(-1)
avoid_negative_yields(h_var)
def modify_central(h, fname_in, name, region, year, f_nominal=None, doss=False,others=[]):
if name == "fakes":
f = r.TFile(fname_in.replace("fakes","fakes_mc"))
fhybrid = r.TFile(fname_in.replace("fakes","fakes_mchybrid"))
h_mc = f.Get("{}_TOTAL_{}".format(region,"fakes_mc"))
h_mchybrid = fhybrid.Get("{}_TOTAL_{}".format(region,"fakes_mchybrid"))
h_app = f_nominal.Get("{}_UNWFR_TOTAL_{}".format(region,name))
# h_mchybrid_app = fhybrid.Get("{}_UNWFR_TOTAL_{}".format(region,"fakes_mchybrid"))
# print list(h_mchybrid)
# print h.Integral(),h_mc.Integral(),h_mchybrid.Integral()
# h_mc.Scale(h.Integral()/h_mc.Integral())
# h_mchybrid.Scale(h.Integral()/h_mchybrid.Integral())
f16 = r.TFile(fname_in.replace(str(year),"2016"))
nom16unw = f16.Get("{}_UNWFR_TOTAL_{}".format(region,name))
f17 = r.TFile(fname_in.replace(str(year),"2017"))
nom17unw = f17.Get("{}_UNWFR_TOTAL_{}".format(region,name))
f18 = r.TFile(fname_in.replace(str(year),"2018"))
nom18unw = f18.Get("{}_UNWFR_TOTAL_{}".format(region,name))
for ix in range(1,h.GetNbinsX()+1):
v = h.GetBinContent(ix)
ve = h.GetBinError(ix)
v_mc = h_mc.GetBinContent(ix)
ve_mc = h_mc.GetBinError(ix)
v_mchybrid = h_mchybrid.GetBinContent(ix)
ve_mchybrid = h_mchybrid.GetBinError(ix)
v_app = h_app.GetBinContent(ix)
if v_app == 0.: v = 0.
# v_mchybrid_app = h_mchybrid_app.GetBinContent(ix)
# ve_mchybrid_app = h_mchybrid_app.GetBinError(ix)
# print ">>> Bin {} of {} has yield {:.3f}+-{:.3f} (mc has {:.3f}+-{:.3f}) (HYBRID mc has {:.3f}+-{:.3f}, app {:.1f}+-{:.1f})".format(ix,h,v,ve,v_mc,ve_mc,v_mchybrid,ve_mchybrid,v_mchybrid_app,ve_mchybrid_app)
if doss:
if v < 1e-6:
# avg weight for bins with 1 tight-loose is 0.13 (i.e., avg transfer factor)
avgtf = 0.13
if verbose_: print "[!] Bin {} of {} has yield {}+-{} and so setting value to 0 and error to avg tf of {}".format(ix,h,v,ve,avgtf)
ve = h.GetBinError(ix)
h.SetBinError(ix,avgtf)
h.SetBinContent(ix,1e-6)
for other in others:
other.SetBinContent(ix,1e-6)
else:
if v < 1e-6:
app16 = nom16unw.GetBinContent(ix)
app17 = nom17unw.GetBinContent(ix)
app18 = nom18unw.GetBinContent(ix)
apptot = app16+app17+app18
if apptot == 0:
# (6.8*35.9+10*41.5+12.7*58.8)/136.3 -- sr pred for fakes divide by app region counts weighted by lumi
avgtf = 0.103/(3**0.5) # since this will get compounded for the 3 years
if verbose_: print "[!] Bin {} of {} has NO APPLICATION REGION YIELDS in any year so setting value to 0 and error to avg tf of {}".format(ix,h,avgtf)
h.SetBinContent(ix,1e-6)
h.SetBinError(ix,avgtf)
elif v_mc > 1e-6:
if verbose_: print "[!] Bin {} of {} has yield {}+-{} (mc has {}+-{}), so setting value to 0 and error to mc value of {}".format(ix,h,v,ve,v_mc,ve_mc,v_mc)
# 1.5 for poisson
h.SetBinContent(ix,1e-6)
h.SetBinError(ix,1.0*v_mc)
elif v_mchybrid > 1e-3:
if verbose_: print "[!] Bin {} of {} has yield {}+-{} (HYBRID mc has {}+-{}), so setting value to 0 and error to HYBRID mc value of {}".format(ix,h,v,ve,v_mchybrid,ve_mchybrid,v_mchybrid)
h.SetBinContent(ix,1e-6)
h.SetBinError(ix,1.0*v_mchybrid)
else:
# note, shouldn't ever get here anyway
# avg transfer factor is 0.045
avgtf = 0.045
if verbose_: print "[!] Bin {} of {} has yield {}+-{} and no yields in MC either, so setting value to 0 and error to avg tf of {}".format(ix,h,v,ve,avgtf)
ve = h.GetBinError(ix)
h.SetBinError(ix,avgtf)
# else:
# app16 = nom16unw.GetBinContent(ix)
# app17 = nom17unw.GetBinContent(ix)
# app18 = nom18unw.GetBinContent(ix)
# apptot = app16+app17+app18
# if apptot < 5:
# avgtf = 0.1
# # err on avg tf is .35 from err of ~.3 on fr; add that in quadrature
# val = max(avgtf*apptot,1e-6)
# err = avgtf*(apptot**0.5)
# err = (err**2.+(0.35*val)**2.)**0.5
# h.SetBinContent(ix,val/3.)
# h.SetBinError(ix,err/(3**.5))
def write_one_file(fname_in, fname_out, name, region, year, doss):
if not os.path.exists(fname_in):
if verbose_: print "[!] {} does not exist!".format(fname_in)
return
fin = r.TFile(fname_in)
fout = r.TFile(fname_out,"RECREATE")
# nominal
h = fin.Get("{}_TOTAL_{}".format(region,name))
h_nominal = h.Clone("sr")
if abs(h_nominal.Integral()) < 1e-6:
# if verbose_: print "[!] Nominal yields for {}, {}, {} are 0, skipping".format(name, region, year)
# fout.Close()
# return
if verbose_: print "[!] Nominal yields for {}, {}, {} are 0, but writing empty histograms anyway".format(name, region, year)
avoid_negative_yields(h_nominal)
others = []
if name == "fakes":
h_nb0 = fin.Get("{}_FRNORMNB0_TOTAL_{}".format(region,name))
h_nb1 = fin.Get("{}_FRNORMNB1_TOTAL_{}".format(region,name))
h_nb2 = fin.Get("{}_FRNORMNB2_TOTAL_{}".format(region,name))
h_nb3 = fin.Get("{}_FRNORMNB3_TOTAL_{}".format(region,name))
others = [h_nb0,h_nb1,h_nb2,h_nb3]
modify_central(h_nominal, fname_in=fname_in, name=name, region=region, year=year, f_nominal=fin, doss=doss,others=others)
# print list(h_nominal)
# print [h_nominal.GetBinError(ibin) for ibin in range(1,h_nominal.GetNbinsX()+1)]
# make sure we write to fout
fout.cd()
# # FIXME FIXME FIXME
# if name == "fakes" and region.upper() == "SRHH":
# print year
# if year in [2018]:
# print "SETTING SRHH52 and 53 in fakes to 0.01pm0.5!!!"
# h_nominal.SetBinContent(52,0.01)
# h_nominal.SetBinContent(53,0.01)
# h_nominal.SetBinError(52,0.5)
# h_nominal.SetBinError(53,0.5)
# # FIXME FIXME FIXME
# if name == "data" and region.upper() == "SRHH":
# print year
# if year in [2016,2017]:
# print "SETTING SRHH52 and 53 in data to 0!!!"
# h_nominal.SetBinContent(52,0)
# h_nominal.SetBinContent(53,0)
# else:
# print "SETTING SRHH52 and 53 in data to 1,1!!!"
# h_nominal.SetBinContent(52,1)
# h_nominal.SetBinContent(53,1)
# print [h_nominal.GetBinError(ibin) for ibin in range(1,h_nominal.GetNbinsX()+1)]
h_nominal.Write()
# only write counts for data
if name == "data":
fout.Close()
return
is_higgs = "higgs" in name
is_oblique = "hhat" in name
is_fastsim = "fs_" in name
# stat
write_stat(h_nominal, name)
def divz(x): return (999. if x < 1e-6 else x)
# scale, pdf, alphas
if name == "tttt":
for syst in ["scale","pdf","alphas"]:
for which in ["Up","Down"]:
h_alt = fin.Get("{}_{}_{}_TOTAL_{}".format(region,syst.upper(),which.replace("ow","").upper(),name))
h_syst = h_alt.Clone("{}{}".format(syst,which))
avoid_negative_yields(h_syst)
# preserve acceptance normalization differences for scale/pdf (assuming we've normalized out xsec from the looper & weight histogram)
if is_fastsim or (syst not in ["scale","pdf"]):
h_syst.Scale(h_nominal.Integral()/divz(h_syst.Integral()))
h_syst.Write()
elif (name in ["ttw","ttz","tth","rares","xg","ttvv","wz","ww"]) or is_higgs or is_fastsim or is_oblique:
for syst in ["scale","pdf"]:
if is_fastsim:
h_alt = fin.Get("{}_{}_UP_TOTAL_{}".format(region,syst.upper(),name))
h_syst_up = h_alt.Clone("{}Up".format(syst))
avoid_negative_yields(h_syst_up)
h_syst_up.Scale(h_nominal.Integral()/divz(h_syst_up.Integral()))
h_syst_down = h_alt.Clone("{}Down".format(syst))
fill_down_mirror_up(h_nominal,h_syst_up,h_syst_down)
h_syst_up.Write()
h_syst_down.Write()
else:
for which in ["Up","Down"]:
h_alt = fin.Get("{}_{}_{}_TOTAL_{}".format(region,syst.upper(),which.replace("ow","").upper(),name))
h_syst = h_alt.Clone("{}{}".format(syst,which))
avoid_negative_yields(h_syst)
# normalize for ttW ttZ because they have CRs; also normalize alphas
if (name in ["ttw","ttz"]):
h_syst.Scale(h_nominal.Integral()/divz(h_syst.Integral()))
h_syst.Write()
# If not doing data, flips, or fakes
if not any(x in name for x in ["data","flips","fakes"]):
split_btagsf = True
if split_btagsf:
# btagSF heavy
for which in ["Up","Down"]:
h_alt = fin.Get("{}_{}_{}_TOTAL_{}".format(region,"BTAGSFHEAVY",which.replace("ow","").upper(),name))
# h_alt.Scale(h_nominal.Integral()/divz(h_alt.Integral()))
h_syst = h_alt.Clone("btaghf{}".format(which))
h_syst.SetTitle("btaghf{}".format(which))
avoid_zero_integrals(h_nominal,h_syst)
h_syst.Write()
# btagSF light
for which in ["Up","Down"]:
h_alt = fin.Get("{}_{}_{}_TOTAL_{}".format(region,"BTAGSFLIGHT",which.replace("ow","").upper(),name))
# h_alt.Scale(h_nominal.Integral()/divz(h_alt.Integral()))
h_syst = h_alt.Clone("btaglf{}".format(which))
h_syst.SetTitle("btaglf{}".format(which))
avoid_zero_integrals(h_nominal,h_syst)
h_syst.Write()
else:
# btagSF
for which in ["Up","Down"]:
h_alt = fin.Get("{}_{}_{}_TOTAL_{}".format(region,"BTAGSF",which.replace("ow","").upper(),name))
# h_alt.Scale(h_nominal.Integral()/divz(h_alt.Integral()))
h_syst = h_alt.Clone("btag{}".format(which))
h_syst.SetTitle("btag{}".format(which))
avoid_zero_integrals(h_nominal,h_syst)
h_syst.Write()
# PU, JES, JER
for syst in ["pu","jes","jer"]:
for which in ["Up","Down"]:
h_alt = fin.Get("{}_{}_{}_TOTAL_{}".format(region,syst.upper(),which.replace("ow","").upper(),name))
h_syst = h_alt.Clone("{}{}".format(syst,which))
h_syst.SetTitle("{}{}".format(syst,which))
avoid_zero_integrals(h_nominal,h_syst)
if syst == "jer":
num,den = h_nominal.Integral(), divz(h_syst.Integral())
sf = num/den
h_syst.Scale(sf)
# if doss:
# num,den = h_nominal.Integral(), divz(h_syst.Integral())
# sf = num/den
# h_syst.Scale(sf)
# print doss,syst,which,year,region,name,num,den,sf
h_syst.Write()
# prefiring
h_alt = fin.Get("{}_PREFIRE_UP_TOTAL_{}".format(region,name))
h_syst_up = h_alt.Clone("prefireUp".format(which))
h_syst_down = h_alt.Clone("prefireDown".format(which))
fill_down_mirror_up(h_nominal,h_syst_up,h_syst_down)
h_syst_up.Write()
h_syst_down.Write()
# trigger
h_alt = fin.Get("{}_TRIGGER_UP_TOTAL_{}".format(region,name))
h_syst_up = h_alt.Clone("trigUp".format(which))
h_syst_down = h_alt.Clone("trigDown".format(which))
fill_down_mirror_up(h_nominal,h_syst_up,h_syst_down)
h_syst_up.Write()
h_syst_down.Write()
# lepton SFs
h_alt = fin.Get("{}_LEP_UP_TOTAL_{}".format(region,name))
h_syst_up = h_alt.Clone("lepUp".format(which))
h_syst_down = h_alt.Clone("lepDown".format(which))
fill_down_mirror_up(h_nominal,h_syst_up,h_syst_down)
h_syst_up.Write()
h_syst_down.Write()
# ttbb/ttjj
h_alt = fin.Get("{}_BB_UP_TOTAL_{}".format(region,name))
h_syst_up = h_alt.Clone("bbUp".format(which))
h_syst_down = h_alt.Clone("bbDown".format(which))
# for ix in range(1,h_syst_up.GetNbinsX()+1):
# nomval = h_nominal.GetBinContent(ix)
# upval = h_syst_up.GetBinContent(ix)
# h_syst_up.SetBinContent(ix, nomval+(0.6/0.7)*(upval-nomval))
fill_down_mirror_up(h_nominal,h_syst_up,h_syst_down)
h_syst_up.Write()
h_syst_down.Write()
if all(x not in name for x in ["fs_","rpv_","fcnc_"]):
# ISR - take half the deviation
h_alt = fin.Get("{}_ISR_UP_TOTAL_{}".format(region,name))
h_syst_up = h_alt.Clone("isrUp".format(which))
h_syst_down = h_alt.Clone("isrDown".format(which))
for ix in range(1,h_syst_up.GetNbinsX()+1):
nomval = h_nominal.GetBinContent(ix)
upval = h_syst_up.GetBinContent(ix)
h_syst_up.SetBinContent(ix, 0.5*(nomval+upval))
fill_down_mirror_up(h_nominal,h_syst_up,h_syst_down)
h_syst_up.Write()
h_syst_down.Write()
if "fs_" in name:
# FastSim gen met
h_alt = fin.Get("{}_MET_UP_TOTAL_{}".format(region,name))
h_syst_up = h_alt.Clone("metUp".format(which))
h_syst_down = h_alt.Clone("metDown".format(which))
fill_down_mirror_up(h_nominal,h_syst_up,h_syst_down)
h_syst_up.Write()
h_syst_down.Write()
# FastSim ISR reweighting
h_alt = fin.Get("{}_ISR_UP_TOTAL_{}".format(region,name))
h_syst_up = h_alt.Clone("isrUp".format(which))
h_syst_down = h_alt.Clone("isrDown".format(which))
h_syst_up.Scale(h_nominal.Integral()/divz(h_syst_up.Integral()))
h_syst_down.Scale(h_nominal.Integral()/divz(h_syst_down.Integral()))
h_syst_up.Write()
h_syst_down.Write()
# HLT syst
write_hthlt_syst(h_nominal,name)
# ISR/FSR up and down variations for tttt
if name == "tttt":
if year in [2017, 2018]:
for syst in ["isrvar","fsrvar"]:
for which in ["Up","Down"]:
# ISR/FSR variations are stored in the ntuple
h_alt = fin.Get("{}_{}_{}_TOTAL_{}".format(region,syst.upper(),which.replace("ow","").upper(),name))
h_alt.Scale(h_nominal.Integral()/h_alt.Integral())
h_syst = h_alt.Clone("{}{}".format(syst,which))
avoid_negative_yields(h_syst)
h_syst.Write()
else:
# ISR/FSR variations come from 4 other samples
f_isrup = r.TFile(fname_in.replace("tttt","ttttisrup"))
f_isrdn = r.TFile(fname_in.replace("tttt","ttttisrdn"))
f_fsrup = r.TFile(fname_in.replace("tttt","ttttfsrup"))
f_fsrdn = r.TFile(fname_in.replace("tttt","ttttfsrdn"))
h_isrup_tmp = f_isrup.Get("{}_TOTAL_ttttisrup".format(region))
h_isrdn_tmp = f_isrdn.Get("{}_TOTAL_ttttisrdn".format(region))
h_fsrup_tmp = f_fsrup.Get("{}_TOTAL_ttttfsrup".format(region))
h_fsrdn_tmp = f_fsrdn.Get("{}_TOTAL_ttttfsrdn".format(region))
h_isrup = h_isrup_tmp.Clone("isrvarUp")
h_isrdn = h_isrdn_tmp.Clone("isrvarDown")
h_fsrup = h_fsrup_tmp.Clone("fsrvarUp")
h_fsrdn = h_fsrdn_tmp.Clone("fsrvarDown")
h_isrup.Scale(h_nominal.Integral()/h_isrup.Integral())
h_isrdn.Scale(h_nominal.Integral()/h_isrdn.Integral())
h_fsrup.Scale(h_nominal.Integral()/h_fsrup.Integral())
h_fsrdn.Scale(h_nominal.Integral()/h_fsrdn.Integral())
for ix in range(1,h_nominal.GetNbinsX()+1):
nomval = h_nominal.GetBinContent(ix)
h_isrup.SetBinContent(ix,h_isrup.GetBinContent(ix))
h_isrdn.SetBinContent(ix,h_isrdn.GetBinContent(ix))
# scale fsr variations closer to central by sqrt(2) according to
# https://twiki.cern.ch/twiki/bin/viewauth/CMS/TopSystematics
varup = h_fsrup.GetBinContent(ix)
vardn = h_fsrdn.GetBinContent(ix)
nom = h_nominal.GetBinContent(ix)
newup = nom+(varup-nom)/(2.**0.5)
newdn = nom+(vardn-nom)/(2.**0.5)
if (nom <= 1.0e-6): continue
h_fsrup.SetBinContent(ix,newup)
h_fsrdn.SetBinContent(ix,newdn)
fout.cd()
map(lambda x: x.Write(), [h_isrup,h_isrdn,h_fsrup,h_fsrdn])
map(lambda x: x.Close(), [f_isrup,f_isrdn,f_fsrup,f_fsrdn])
if name in ["fakes"]:
# EWK subtraction
h_alt = fin.Get("{}_FR_TOTAL_{}".format(region,name))
h_syst_up = h_alt.Clone("fakes_EWKUp")
h_syst_down = h_alt.Clone("fakes_EWKDown")
fill_down_mirror_up(h_nominal,h_syst_up,h_syst_down)
h_syst_up.Write()
h_syst_down.Write()
if doss:
# FR lnN 1.3 separately for Nb0,1,2,>=3
for i,h_alt in enumerate([h_nb0,h_nb1,h_nb2,h_nb3]):
h_syst_up = h_alt.Clone("fakes_normNB{}Up".format(i))
h_syst_down = h_alt.Clone("fakes_normNB{}Down".format(i))
fill_down_mirror_up(h_nominal,h_syst_up,h_syst_down)
h_syst_up.Write()
h_syst_down.Write()
# # FR lnN 1.3 separately for mu,el for all,low,high pt
# for flav in ["MU","EL"]:
# for pt in ["A","L","H"]:
# n = flav+pt
# h_alt = fin.Get("{}_FRNORM{}_TOTAL_{}".format(region,n,name))
# h_syst_up = h_alt.Clone("fakes_norm{}Up".format(n))
# h_syst_down = h_alt.Clone("fakes_norm{}Down".format(n))
# fill_down_mirror_up(h_nominal,h_syst_up,h_syst_down)
# h_syst_up.Write()
# h_syst_down.Write()
# Raw counts for gmN
h_alt = fin.Get("{}_UNWFR_TOTAL_{}".format(region,name))
h_counts = h_alt.Clone("fakes_unwcounts")
h_counts.Write()
fout.Close()
return True
def do_one_parallel(x):
inputdir,year,proc,region,doss = x
fname_in = "{}/output_{}_{}.root".format(inputdir,year,proc)
fname_out = "{}/{}_histos_{}_{}.root".format(inputdir,proc,region.lower(),year)
if verbose_: print "Converting {} -> {}".format(fname_in,fname_out)
ret = None
try:
ret = write_one_file(
fname_in = fname_in,
fname_out = fname_out,
name = proc,
region = region.upper(),
year = year,
doss = doss,
)
except:
print "[!] Error with {}".format(fname_in)
return ret
def make_root_files(inputdir = "outputs", outputdir = "../limits/v3.08_allyears_tmp", regions=[],verbose=True,extra_procs=[], doss=False,years=[2016,2017,2018]):
global verbose_
verbose_ = verbose
def do_one(year,proc,region,doss):
fname_in = "{}/output_{}_{}.root".format(inputdir,year,proc)
fname_out = "{}/{}_histos_{}_{}.root".format(inputdir,proc,region.lower(),year)
if verbose_: print "Converting {} -> {}".format(fname_in,fname_out)
return write_one_file(
fname_in = fname_in,
fname_out = fname_out,
name = proc,
region = region.upper(),
year = year,
doss = doss,
)
procs = []
if doss:
procs.extend(["ttw","ww","wz", "tth", "ttz", "fakes", "fakes_mchybrid", "data", "flips", "rares", "xg"])
regions = ["SRHH","SRHL","SRLL","SRML","SRLM","SRMI1","SRMI2","SRINCL"]
else:
procs.extend(["tttt", "ttw", "tth", "ttz", "fakes", "fakes_mchybrid", "data", "flips", "rares", "xg", "ttvv"])
regions = ["SRCR","SRDISC"]
nmade = 0
# years = [2016, 2017, 2018]
allprocs = procs+extra_procs
allprocs = list(set(allprocs))
do_parallel = True
infos = []
for year,proc in tqdm(list(itertools.product(years,allprocs))):
for region in regions:
if do_parallel:
infos.append([inputdir,year,proc,region,doss])
else:
if do_one(year,proc,region,doss): nmade += 1
if do_parallel:
os.nice(10)
pool = ThreadPool(15)
# pool = ThreadPool(1)
for res in tqdm(pool.imap_unordered(do_one_parallel,infos),total=len(infos)):
if res: nmade += 1
# if res: print "Wrote {}".format(res)
# for year in [2016]:
# for proc in ["fs_t6ttww_m875_m775"]:
# # for proc in ["fs_t1tttt_m1700_m1350"]:
# for region in ["SRCR"]:
# do_one(year,proc,region)
os.system("mkdir -p {}".format(outputdir))
# # FIXME didn't copy
# for _ in range(10): print "Didn't copy"
if nmade > 5000:
print "Copying {} files with rsync...".format(nmade)
os.system("rsync -r --info=progress1 --include='*histos*' --exclude '*output_*' {}/ {}/".format(inputdir,outputdir))
print "Done copying"
else:
os.system("cp {}/*.root {}/".format(inputdir,outputdir))
print "Made {} shape histogram root files and copied them to {}".format(nmade,outputdir)
if __name__ == "__main__":
inputdir = "outputs"
# outputdir = "../limits/v3.05_allyears_v2"
# outputdir = "../limits/v3.05_allyears_ttwttz1p3_v2"
# outputdir = "../limits/v3.05_allyears_19bins_v2"
# outputdir = "../limits/v3.05_allyears_v1"
# outputdir = "../limits/v3.09_v0/"
# make_root_files(inputdir, outputdir)
# write_one_file(
# fname_in = "{}/output_{}_{}.root".format("outputs",2018,"fakes"),
# fname_out = "{}/{}_histos_{}_{}.root".format("outputs","fakes","srhh".lower(),2018),
# name = "fakes",
# region = "srhh".upper(),
# year = 2018,
# )
verbose_ = True
year = 2016
inputdir = "outputs/"
# region = "srdisc"
region = "srcr"
proc = "fakes"
fname_in = "{}/output_{}_{}.root".format(inputdir,year,proc)
fname_out = "{}/{}_histos_{}_{}.root".format(inputdir,proc,region.lower(),year)
if verbose_: print "Converting {} -> {}".format(fname_in,fname_out)
write_one_file(
fname_in = fname_in,
fname_out = fname_out,
name = proc,
region = region.upper(),
year = year,
doss = False
)