else:
time_pdf = SimultaneousPdf(time_pdf.GetName() + '_simul'
, MasterPdf = time_pdf
, SplitCategories = split_cats
, SplitParameters = split_pars)
st_mean = lambda st: 0.04921 + st * 1.220
st_sigma = lambda st: 0.012 + st * 0.165
pars = time_pdf.getParameters(RooArgSet())
for m, s in zip(means, split_cat):
for n, f in (('timeResSFMean', st_mean), ('timeResSFSigma', st_sigma)):
p = pars.find(n + '_' + s.GetName())
p.setVal(f(m - split_obs_mean))
if (not options.simultaneous and options.mu_param) or 'sigmat' in options.mu_param:
placeholder = sig_tres.muPlaceHolder()
placeholder.setVal(st_means[year])
if options.sf_param:
placeholder = sig_tres.sfPlaceHolder()
placeholder.setVal(st_means[year])
if options.plot:
cats = RooArgSet(st)
if options.simultaneous:
cats.add(time_pdf.indexCat())
st_data = fit_data_full.reduce(cats)
else:
st_data = fit_data.reduce(cats)
if options.reuse_result and options.cache:
