scale

Column production methods related to the renormalization and factorization scales.

Classes:

murmuf_weights(*args[, requires_func, ...])
murmuf_envelope_weights(*args[, ...])

class murmuf_weights(*args, requires_func=law.util.no_value, setup_func=law.util.no_value, sandbox=law.util.no_value, call_force=law.util.no_value, pick_cached_result=law.util.no_value, inst_dict=None, **kwargs)

Bases: _ScaleWeightBase

Methods:

call_func(events, **kwargs)	Producer that reads out mur and muf uncertainties on an event-by-event basis.
skip_func()

Attributes:

data_only
mc_only
nominal_only
produces
shifts_only
uses

call_func(events, **kwargs)

Producer that reads out mur and muf uncertainties on an event-by-event basis. This producer assumes that the nominal entry is always the 5th LHEScaleWeight entry and that the nominal weight is already included in the LHEWeight. Can only be called with MC datasets.

Return type:

Array

Resources:

• https://cms-nanoaod-integration.web.cern.ch/integration/master/mc94X_doc.html

data_only = False

mc_only = True

nominal_only = False

produces = {'muf_weight', 'muf_weight_down', 'muf_weight_up', 'mur_weight', 'mur_weight_down', 'mur_weight_up', 'murmuf_weight', 'murmuf_weight_down', 'murmuf_weight_up'}

shifts_only = None

skip_func()

uses = {'LHEScaleWeight'}

class murmuf_envelope_weights(*args, requires_func=law.util.no_value, setup_func=law.util.no_value, sandbox=law.util.no_value, call_force=law.util.no_value, pick_cached_result=law.util.no_value, inst_dict=None, **kwargs)

Bases: _ScaleWeightBase

Methods:

call_func(events, **kwargs)	Producer that determines the envelope of the mur/muf up and down variations on an event-by-event basis.
setup_func(reqs, inputs, reader_targets)	rtype: None
skip_func()

Attributes:

data_only
mc_only
nominal_only
produces
shifts_only
uses

call_func(events, **kwargs)

Producer that determines the envelope of the mur/muf up and down variations on an event-by-event basis. This producer assumes that the nominal entry is always the 5th LHEScaleWeight entry and that the nominal weight is already included in the LHEWeight. Can only be called with MC datasets.

Return type:

Array

Resources:

• https://cms-nanoaod-integration.web.cern.ch/integration/master/mc94X_doc.html

data_only = False

mc_only = True

nominal_only = False

produces = {'murf_envelope_weight', 'murf_envelope_weight_down', 'murf_envelope_weight_up'}

setup_func(reqs, inputs, reader_targets)

Return type:

None

shifts_only = None

skip_func()

uses = {'LHEScaleWeight'}