st_means = {'2011' : 0.350, '2012' : 0.349}
st_means[year] = sig_sdata.mean(st._target_())
if options.simultaneous:
split_pars = [[]]
if options.wpv:
for par in time_pdf.Parameters():
if not par.getAttribute('Yield'):
continue
if par.GetName().find(components[-1].GetName()) != -1:
continue
split_pars[0].append(par)
else:
split_pars[0] = [par for par in time_pdf.Parameters() if par.getAttribute('Yield')]
split_pars[0] += sig_tres.splitVars()
if options.wpv and options.wpv_type == 'Gauss':
split_pars[0].extend([sig_wpv.getYield()])
## split_pars[0].extend([wpv_sigma])
elif options.wpv and signal_MC and options.wpv_type == 'Rest':
split_pars[0].append(rest.getYield())
## split_pars[0].append(rest_tres._left_rlifeSF)
## split_pars[0].append(rest_tres._frac_left)
## Calculate the mean in each bin for the splitting observable
split_obs = split_util.observables()[0]
split_obs_mean = st_means[year]
split_cat = split_cats[0][0]
if hasattr(split_cat, '_target_'):
split_cat = split_cat._target_()
