'existing' : vhww_masses,
            'label' : 'WW',
            'name' : lambda mass : 'VH%iWW' % mass
        },
    }

    for rule, rule_info in rules.iteritems():
        for mass in sorted(rule_info['target_masses']):
            low, high = find_best_interp_points(
                mass, rule_info['existing'])

            log.info("Interpolating m=%i %s histogram between %i and %i",
                     mass, rule_info['label'], low, high)
            for folder in folders:
                log.debug("Doing shape folder %s", folder)
                # Switch to the folder
                name = rule_info['name']
                low_hist = f.get(os.path.join(folder, name(low)))
                high_hist = f.get(os.path.join(folder, name(high)))
                f.cd(folder)
                new_hist = morph(
                    name(mass), "VH%s m=%i" % (rule_info['label'], mass),
                    mass, low_hist, low, high_hist, high)

                log.debug(
                    "mean/norm low:%0.2f/%0.2f high:%0.2f/%0.2f new:%0.2f/%0.2f",
                    low_hist.GetMean(), low_hist.Integral(),
                    high_hist.GetMean(), high_hist.Integral(),
                    new_hist.GetMean(), new_hist.Integral())
                new_hist.Write()
Beispiel #2
0
'''

Stupid tests of the th1fmorph tool

'''

from FinalStateAnalysis.StatTools.morph import morph
from rootpy.io import open, DoesNotExist

file = open('$fsa/VHiggs/test/plotting/wh_shapes.root')

hist1 = file.get('mmt_mumu_final_140_MuTauMass/VH140')
hist2 = file.get('mmt_mumu_final_120_MuTauMass/VH120')
hist130true = file.get('mmt_mumu_final_130_MuTauMass/VH130')

print '140', hist1.Integral(), hist1.GetMean()
print '130 true', hist130true.Integral(), hist130true.GetMean()
print '120', hist2.Integral(), hist2.GetMean()

# Try to morph to 130

m130 = morph('130', '130', 130, hist1, 140, hist2, 120)
print m130.Integral(), m130.GetMean()