def main() :
print "# --------------------------------------------------------------------------------------"
print "# tanb_grid_new.py "
print "# --------------------------------------------------------------------------------------"
print "# You are using the following configuration: "
print "# --tanb :", options.tanb
print "# --parameter1 :", options.parameter1 #for the lowmH scenario this is the higgs/higgsino mass parameter; everywhere else its mass of A
print "# --morphing-htt_ee : ", options.morphing_htt_ee
print "# --morphing-htt_em : ", options.morphing_htt_em
print "# --morphing-htt_mm : ", options.morphing_htt_mm
print "# --morphing-htt_mt : ", options.morphing_htt_mt
print "# --morphing-htt_et : ", options.morphing_htt_et
print "# --morphing-htt_tt : ", options.morphing_htt_tt
print "# --morphing-htaunu_had : ", options.morphing_htaunu_had
print "# Check option --help in case of doubt about the meaning of one or more of these confi-"
print "# guration parameters. "
print "# --------------------------------------------------------------------------------------"
## directory that contains all datacards in question
path = args[0]
print "path = %s" % path
label = '_{PARAMETER1}_{TANB}'.format(PARAMETER1=options.parameter1, TANB=options.tanb)
## mophing configuration
morph = {
'htt_ee' : options.morphing_htt_ee,
'htt_em' : options.morphing_htt_em,
'htt_mm' : options.morphing_htt_mm,
'htt_mt' : options.morphing_htt_mt,
'htt_et' : options.morphing_htt_et,
'htt_tt' : options.morphing_htt_tt,
'htaunu_had' : options.morphing_htaunu_had,
}
## complete model for given mass and tanb value (including uncertainties)
models = {}
## adaptor of the datacard for given mass and tanb value
adaptor = ModelDatacard(options, label, options.parameter1, False, options.ana_type)
adaptor.cleanup('.' if not path.find('/')>0 else path[:path.rfind('/')], label)
## parse datacard (first go)
old_file = open(path, 'r')
card = parseCard(old_file, options)
old_file.close()
##if ana_type=="Hhh" mH has to be translated into mA
if options.ana_type=="Hhh" : #mH has to be translated into mA
neededParameter = mX_to_mA(card)
else :
neededParameter = options.parameter1
## determine MODEL for given datacard.
model = MODEL(float(neededParameter), float(options.tanb), options.modelname)
match = re.compile('(?P<CHN>[a-zA-Z0-9]+)_[a-zA-Z0-9]+_[0-9]+_(?P<PER>[a-zA-Z0-9]+)')
for bin in card.list_of_bins() :
print "processing bin = %s:" % bin
## a bin can be made up of different decay channels or different run periods. Pick decay channel (chn) and run period
## (per) either from bin or from from datacards name in case it is not accessible from bin.
if match.match(bin) :
chn = match.match(bin).group('CHN')
per = match.match(bin).group('PER')
else :
chn = match.match(path[path.rfind('/')+1:]).group('CHN')
per = match.match(path[path.rfind('/')+1:]).group('PER')
## check which processes are still missing for given decay channel and run period
missing_procs = model.missing_procs(chn, per, card.list_of_signals())
if len(missing_procs)>0 :
if options.ana_type=="Hplus":
print "updating model to parameter set:", per, chn, missing_procs, ['mu']
model.setup_model(per, chn, missing_procs, ['mu'])
else :
print "updating model to parameter set:", per, chn, missing_procs, ['mu', 'pdf']
model.setup_model(per, chn, missing_procs, ['mu', 'pdf'])
## create new datacard
new_name = path[:path.rfind('.txt')]+'_%.2f'%float(options.tanb)+'.txt'
os.system("cp {SRC} {TARGET}".format(SRC=path, TARGET=new_name))
## adapt datacards
if options.MSSMvsSM :
## this options rejects the scaling of bbH and ggH by 1/tanb -> therefore at each mA/tanb point all signals (including SM) are xs*BR
model.tanb = 1
adaptor.make_model_datacard(new_name, model, morph)
def main() :
print "# --------------------------------------------------------------------------------------"
print "# tangb_grid_new.py "
print "# --------------------------------------------------------------------------------------"
print "# You are using the following configuration: "
print "# --tanb :", options.tanb
print "# --mA :", options.mA
print "# --morphing-htt_ee : ", options.morphing_htt_ee
print "# --morphing-htt_em : ", options.morphing_htt_em
print "# --morphing-htt_mm : ", options.morphing_htt_mm
print "# --morphing-htt_mt : ", options.morphing_htt_mt
print "# --morphing-htt_et : ", options.morphing_htt_et
print "# --morphing-htt_tt : ", options.morphing_htt_tt
print "# Check option --help in case of doubt about the meaning of one or more of these confi-"
print "# guration parameters. "
print "# --------------------------------------------------------------------------------------"
## directory that contains all datacards in question
path = args[0]
label = '_{MASS}_{TANB}'.format(MASS=options.mA, TANB=options.tanb)
## mophing configuration
morph = {
'htt_ee' : options.morphing_htt_ee,
'htt_em' : options.morphing_htt_em,
'htt_mm' : options.morphing_htt_mm,
'htt_mt' : options.morphing_htt_mt,
'htt_et' : options.morphing_htt_et,
'htt_tt' : options.morphing_htt_tt,
}
## complete model for given mass and tanb value (including uncertainties)
models = {}
## adaptor of the datacard for given mass and tanb value
adaptor = ModelDatacard(options, label, False)
adaptor.cleanup('.' if not path.find('/')>0 else path[:path.rfind('/')], label)
## parse datacard (first go)
old_file = open(path, 'r')
card = parseCard(old_file, options)
old_file.close()
## determine MODEL for given datacard.
model = MODEL(float(options.mA), float(options.tanb), options.modelname)
match = re.compile('(?P<CHN>\w*)_\w*_[0-9]?_(?P<PER>[0-9]*\w*)')
for bin in card.list_of_bins() :
## a bin can be made up of different decay channels or different run periods. Pick decay channel (chn) and run period
## (per) either from bin or from from datacards name in case it is not accessible from bin.
if match.match(bin) :
chn = match.match(bin).group('CHN')
per = match.match(bin).group('PER')
else :
chn = match.match(path[path.rfind('/')+1:]).group('CHN')
per = match.match(path[path.rfind('/')+1:]).group('PER')
## check which processes are still missing for given decay channel and run period
missing_procs = model.missing_procs(chn, per, card.list_of_signals())
if len(missing_procs)>0 :
print "updating model to parameter set:", per, chn, missing_procs, ['mu', 'pdf']
model.setup_model(per, chn, missing_procs, ['mu', 'pdf'])
## create new datacard
new_name = path[:path.rfind('.txt')]+'_%.2f'%float(options.tanb)+'.txt'
os.system("cp {SRC} {TARGET}".format(SRC=path, TARGET=new_name))
## adapt datacards
if options.MSSMvsSM :
## this options rejects the scaling of bbH and ggH by 1/tanb -> therefore at each mA/tanb point all signals (including SM) are xs*BR
model.tanb = 1
adaptor.make_model_datacard(new_name, model, morph)
def main():
print "# --------------------------------------------------------------------------------------"
print "# tanb_grid_new.py "
print "# --------------------------------------------------------------------------------------"
print "# You are using the following configuration: "
print "# --tanb :", options.tanb
print "# --parameter1 :", options.parameter1 #for the lowmH scenario this is the higgs/higgsino mass parameter; everywhere else its mass of A
print "# --ana_type :", options.ana_type
print "# --morphing-htt_ee : ", options.morphing_htt_ee
print "# --morphing-htt_em : ", options.morphing_htt_em
print "# --morphing-htt_mm : ", options.morphing_htt_mm
print "# --morphing-htt_mt : ", options.morphing_htt_mt
print "# --morphing-htt_et : ", options.morphing_htt_et
print "# --morphing-htt_tt : ", options.morphing_htt_tt
print "# --morphing-htaunu_had : ", options.morphing_htaunu_had
print "# --morphing-htt-AZh : ", options.morphing_htt_AZh
print "# Check option --help in case of doubt about the meaning of one or more of these confi-"
print "# guration parameters. "
print "# --------------------------------------------------------------------------------------"
## directory that contains all datacards in question
path = args[0]
print "path = %s" % path
label = '_{PARAMETER1}_{TANB}'.format(PARAMETER1=options.parameter1,
TANB=options.tanb)
## mophing configuration }
morph = {
'htt_ee': options.morphing_htt_ee,
'htt_em': options.morphing_htt_em,
'htt_mm': options.morphing_htt_mm,
'htt_mt': options.morphing_htt_mt,
'htt_et': options.morphing_htt_et,
'htt_tt': options.morphing_htt_tt,
'htaunu_had': options.morphing_htaunu_had,
'htt_AZh': options.morphing_htt_AZh,
}
## complete model for given mass and tanb value (including uncertainties)
models = {}
## adaptor of the datacard for given mass and tanb value
adaptor = ModelDatacard(options, label, options.parameter1, False,
options.ana_type)
adaptor.cleanup('.' if not path.find('/') > 0 else path[:path.rfind('/')],
label)
## parse datacard (first go)
old_file = open(path, 'r')
card = parseCard(old_file, options)
old_file.close()
if options.ana_type == "Hhh" and options.postfit: #mH has to be translated into mA to get the correct BR and xs from the model file when making postfit plots
neededParameter = mX_to_mA(card)
else:
neededParameter = options.parameter1
print options.ana_type
## determine MODEL for given datacard.
model = MODEL(float(neededParameter), float(options.tanb),
options.modelname)
match = re.compile(
'(?P<CHN>[a-zA-Z0-9]+)_[a-zA-Z0-9]+_[0-9]+_(?P<PER>[a-zA-Z0-9]+)')
for bin in card.list_of_bins():
print "processing bin = %s:" % bin
## a bin can be made up of different decay channels or different run periods. Pick decay channel (chn) and run period
## (per) either from bin or from from datacards name in case it is not accessible from bin.
if match.match(bin):
chn = match.match(bin).group('CHN')
per = match.match(bin).group('PER')
else:
chn = match.match(path[path.rfind('/') + 1:]).group('CHN')
per = match.match(path[path.rfind('/') + 1:]).group('PER')
## check which processes are still missing for given decay channel and run period
missing_procs = model.missing_procs(chn, per, card.list_of_signals())
if len(missing_procs) > 0:
if options.ana_type == "Htaunu":
print "updating model to parameter set:", per, chn, missing_procs, [
'mu'
]
model.setup_model(per, chn, missing_procs, ['mu'])
elif "2HDM" in options.modelname:
print "updating model to parameter set:", per, chn, missing_procs
model.setup_model(per, chn, missing_procs)
else:
print "updating model to parameter set:", per, chn, missing_procs, [
'mu', 'pdf'
]
model.setup_model(per, chn, missing_procs, ['mu', 'pdf'])
## create new datacard
new_name = path[:path.rfind('.txt')] + '_%.2f' % float(
options.tanb) + '.txt'
os.system("cp {SRC} {TARGET}".format(SRC=path, TARGET=new_name))
## adapt datacards
if options.MSSMvsSM:
## this options rejects the scaling of bbH and ggH by 1/tanb -> therefore at each mA/tanb point all signals (including SM) are xs*BR
model.tanb = 1
adaptor.make_model_datacard(new_name, model, morph)
def main():
print "# --------------------------------------------------------------------------------------"
print "# tangb_grid_new.py "
print "# --------------------------------------------------------------------------------------"
print "# You are using the following configuration: "
print "# --tanb :", options.tanb
print "# --mA :", options.mA
print "# --morphing-htt_ee : ", options.morphing_htt_ee
print "# --morphing-htt_em : ", options.morphing_htt_em
print "# --morphing-htt_mm : ", options.morphing_htt_mm
print "# --morphing-htt_mt : ", options.morphing_htt_mt
print "# --morphing-htt_et : ", options.morphing_htt_et
print "# --morphing-htt_tt : ", options.morphing_htt_tt
print "# Check option --help in case of doubt about the meaning of one or more of these confi-"
print "# guration parameters. "
print "# --------------------------------------------------------------------------------------"
## directory that contains all datacards in question
path = args[0]
label = '_{MASS}_{TANB}'.format(MASS=options.mA, TANB=options.tanb)
## mophing configuration
morph = {
'htt_ee': options.morphing_htt_ee,
'htt_em': options.morphing_htt_em,
'htt_mm': options.morphing_htt_mm,
'htt_mt': options.morphing_htt_mt,
'htt_et': options.morphing_htt_et,
'htt_tt': options.morphing_htt_tt,
}
## complete model for given mass and tanb value (including uncertainties)
models = {}
## adaptor of the datacard for given mass and tanb value
adaptor = ModelDatacard(options, label, False)
adaptor.cleanup('.' if not path.find('/') > 0 else path[:path.rfind('/')],
label)
## parse datacard (first go)
old_file = open(path, 'r')
card = parseCard(old_file, options)
old_file.close()
## determine MODEL for given datacard.
model = MODEL(float(options.mA), float(options.tanb), options.modelname)
match = re.compile('(?P<CHN>\w*)_\w*_[0-9]?_(?P<PER>[0-9]*\w*)')
for bin in card.list_of_bins():
## a bin can be made up of different decay channels or different run periods. Pick decay channel (chn) and run period
## (per) either from bin or from from datacards name in case it is not accessible from bin.
if match.match(bin):
chn = match.match(bin).group('CHN')
per = match.match(bin).group('PER')
else:
chn = match.match(path[path.rfind('/') + 1:]).group('CHN')
per = match.match(path[path.rfind('/') + 1:]).group('PER')
## check which processes are still missing for given decay channel and run period
missing_procs = model.missing_procs(chn, per, card.list_of_signals())
if len(missing_procs) > 0:
print "updating model to parameter set:", per, chn, missing_procs, [
'mu', 'pdf'
]
model.setup_model(per, chn, missing_procs, ['mu', 'pdf'])
## create new datacard
new_name = path[:path.rfind('.txt')] + '_%.2f' % float(
options.tanb) + '.txt'
os.system("cp {SRC} {TARGET}".format(SRC=path, TARGET=new_name))
## adapt datacards
adaptor.make_model_datacard(new_name, model, morph)
