TemporalModel

class gammapy.modeling.models.TemporalModel(**kwargs)

Bases: gammapy.modeling.models.core.Model

Temporal model base class. evaluates on astropy.time.Time objects

Attributes Summary

covariance
default_parameters
parameters	Parameters (Parameters)

Methods Summary

__call__(self, time)	Evaluate model
copy(self)	A deep copy.
create(tag, \*args, \*\*kwargs)	Create a model instance.
from_dict(data)
from_parameters(parameters, \*\*kwargs)	Create model from parameter list
time_sum(t_min, t_max)	Total time between t_min and t_max
to_dict(self)	Create dict for YAML serialisation

Attributes Documentation

covariance

default_parameters = <gammapy.modeling.parameter.Parameters object>

parameters

Parameters (Parameters)

Methods Documentation

__call__(self, time)

Evaluate model

Parameters

timeTime

Time object

copy(self)

A deep copy.

static create(tag, *args, **kwargs)

Create a model instance.

Examples

>>> from gammapy.modeling.models import Model
>>> spectral_model = Model.create("PowerLaw2SpectralModel", amplitude="1e-10 cm-2 s-1", index=3)
>>> type(spectral_model)
gammapy.modeling.models.spectral.PowerLaw2SpectralModel

classmethod from_dict(data)

classmethod from_parameters(parameters, **kwargs)

Create model from parameter list

Parameters

parametersParameters

Parameters for init

Returns

modelModel

Model instance

static time_sum(t_min, t_max)

Total time between t_min and t_max

Parameters

t_min, t_max: `~astropy.time.Time`

Lower and upper bound of integration range

Returns

time_sumTimeDelta

Summed time in the intervals.

to_dict(self)

Create dict for YAML serialisation