#!/usr/bin/env python

# Bkgd configuration file for limit-setting produced with makeANTables.py

backgrounds = {
    'Fake2016DEFGH' : {
        'N' : '1634',
        'alpha' : '0.000558720822988',
    },
    'Elec2016DEFGH' : {
        'N' : '32',
        'alpha' : '0.0493887359699',
    },
    'Muon2016DEFGH' : {
        'N' : '25',
        'alpha' : '0.0291223965337',
    },
    'Tau2016DEFGH' : {
        'N' : '10',
        'alpha' : '0.00246390955317',
    },
}

background_systematics = {
    'Fake2016DEFGH_alpha' : { # error on alpha
        'value' : '1.37812487145',
        'background' : 'Fake2016DEFGH',
    },
    'Elec2016DEFGH_alpha' : { # error on alpha
        'value' : '1.01398595188',
        'background' : 'Elec2016DEFGH',
    },
    'Muon2016DEFGH_alpha' : { # error on alpha
        'value' : '1.00541901138',
        'background' : 'Muon2016DEFGH',
    },
    'Tau2016DEFGH_alpha' : { # error on alpha
        'value' : '1.42810786104',
        'background' : 'Tau2016DEFGH',
    },



    'Fake2016DEFGH_syst' : { # error on fake track rate assumption
        'value' : str (1.0 + 8.58441294376118 / 100.0),
        'background' : 'Fake2016DEFGH',
    },
    'Elec2016DEFGH_energy' : { # error on energy assumption
        'value' : str (1.0 + 11.7113892531 / 100.0),
        'background' : 'Elec2016DEFGH',
    },
    'Tau2016DEFGH_energy' : { # error on energy assumption
        'value' : str (1.0 + 16.8609344527 / 100.0),
        'background' : 'Tau2016DEFGH',
    },
}

31b0ed8c56d1b8c773c74b8614f72a9d1d6b6995
<mask token>

backgrounds = {'Fake2016DEFGH': {'N': '1634', 'alpha': '0.000558720822988'},
    'Elec2016DEFGH': {'N': '32', 'alpha': '0.0493887359699'},
    'Muon2016DEFGH': {'N': '25', 'alpha': '0.0291223965337'},
    'Tau2016DEFGH': {'N': '10', 'alpha': '0.00246390955317'}}
background_systematics = {'Fake2016DEFGH_alpha': {'value': '1.37812487145',
    'background': 'Fake2016DEFGH'}, 'Elec2016DEFGH_alpha': {'value':
    '1.01398595188', 'background': 'Elec2016DEFGH'}, 'Muon2016DEFGH_alpha':
    {'value': '1.00541901138', 'background': 'Muon2016DEFGH'},
    'Tau2016DEFGH_alpha': {'value': '1.42810786104', 'background':
    'Tau2016DEFGH'}, 'Fake2016DEFGH_syst': {'value': str(1.0 + 
    8.58441294376118 / 100.0), 'background': 'Fake2016DEFGH'},
    'Elec2016DEFGH_energy': {'value': str(1.0 + 11.7113892531 / 100.0),
    'background': 'Elec2016DEFGH'}, 'Tau2016DEFGH_energy': {'value': str(
    1.0 + 16.8609344527 / 100.0), 'background': 'Tau2016DEFGH'}}

#!/usr/bin/env python

# Bkgd configuration file for limit-setting produced with makeANTables.py

backgrounds = {
    'Fake2016DEFGH' : {
        'N' : '1634',
        'alpha' : '0.000558720822988',
    },
    'Elec2016DEFGH' : {
        'N' : '32',
        'alpha' : '0.0493887359699',
    },
    'Muon2016DEFGH' : {
        'N' : '25',
        'alpha' : '0.0291223965337',
    },
    'Tau2016DEFGH' : {
        'N' : '10',
        'alpha' : '0.00246390955317',
    },
}

background_systematics = {
    'Fake2016DEFGH_alpha' : { # error on alpha
        'value' : '1.37812487145',
        'background' : 'Fake2016DEFGH',
    },
    'Elec2016DEFGH_alpha' : { # error on alpha
        'value' : '1.01398595188',
        'background' : 'Elec2016DEFGH',
    },
    'Muon2016DEFGH_alpha' : { # error on alpha
        'value' : '1.00541901138',
        'background' : 'Muon2016DEFGH',
    },
    'Tau2016DEFGH_alpha' : { # error on alpha
        'value' : '1.42810786104',
        'background' : 'Tau2016DEFGH',
    },



    'Fake2016DEFGH_syst' : { # error on fake track rate assumption
        'value' : str (1.0 + 8.58441294376118 / 100.0),
        'background' : 'Fake2016DEFGH',
    },
    'Elec2016DEFGH_energy' : { # error on energy assumption
        'value' : str (1.0 + 11.7113892531 / 100.0),
        'background' : 'Elec2016DEFGH',
    },
    'Tau2016DEFGH_energy' : { # error on energy assumption
        'value' : str (1.0 + 16.8609344527 / 100.0),
        'background' : 'Tau2016DEFGH',
    },
}
