diff options
Diffstat (limited to 'utils/chi2')
| -rwxr-xr-x | utils/chi2 | 16 |
1 files changed, 7 insertions, 9 deletions
@@ -560,18 +560,9 @@ if __name__ == '__main__': #muon = ev[ev.muon & ev.prompt & ~ev.atm] #muon_atm = ev[ev.muon & ev.prompt & ev.atm] - if (~rhdr.run.isin(ev_mc.run)).any(): - print_warning("Error! The following runs have no Monte Carlo: %s" % \ - rhdr.run[~rhdr.run.isin(ev_mc.run)].values) - sys.exit(1) - - ev_mc = ev_mc[ev_mc.run.isin(rhdr.run)] - data_mc = ev_mc[ev_mc.signal & ev_mc.prompt & ~ev_mc.atm] data_atm_mc = ev_mc[ev_mc.signal & ev_mc.prompt & ev_mc.atm] - data_mc = ev_mc[ev_mc.signal & ev_mc.prompt & ~ev_mc.atm] - bins = np.logspace(np.log10(20),np.log10(10e3),21) atmo_scale_factor = 100.0 @@ -751,6 +742,13 @@ if __name__ == '__main__': sys.exit(0) + if (~rhdr.run.isin(ev_mc.run)).any(): + print_warning("Error! The following runs have no Monte Carlo: %s" % \ + rhdr.run[~rhdr.run.isin(ev_mc.run)].values) + sys.exit(1) + + data_mc = data_mc[data_mc.run.isin(rhdr.run)] + xopt, universe, samples = do_fit(data,muon,data_mc,weights,atmo_scale_factor,muon_scale_factor,bins,args.steps,args.print_nll,args.walkers,args.thin) data_mc_with_weights = pd.merge(data_mc,weights[weights.universe == universe],how='left',on=['run','evn']) |