modeling - Models and fitting

gammapy.modeling Package

Models and fitting.

Functions

select_nested_models(datasets, parameters, ...)	Compute the test statistic (TS) between two nested hypothesis.
stat_profile_ul_scipy(value_scan, stat_scan)	Compute upper limit of a parameter from a likelihood profile.

Classes

Covariance(parameters[, data])	Parameter covariance class.
Fit([backend, optimize_opts, ...])	Fit class.
FitResult([optimize_result, covariance_result])	Fit result class.
OptimizeResult(models, nfev, total_stat, trace)	Optimize result object.
CovarianceResult([matrix])	Covariance result object.
Parameter(name, value[, unit, scale, min, ...])	A model parameter.
Parameters([parameters])	Parameters container.
PriorParameter(name, value[, unit, scale, ...])
PriorParameters([parameters])

gammapy.modeling.models Package

Built-in models in Gammapy.

Functions

create_cosmic_ray_spectral_model([particle])	Cosmic a cosmic ray spectral model at Earth.
create_crab_spectral_model([reference])	Create a Crab nebula reference spectral model.
create_fermi_isotropic_diffuse_model(...)	Read Fermi isotropic diffuse model.
integrate_spectrum(func, energy_min, energy_max)	Integrate one-dimensional function using the log-log trapezoidal rule.
scale_plot_flux(flux[, energy_power])	Scale flux to plot.
read_hermes_cube(filename)	Read 3d templates produced with hermes.

Classes

BrokenPowerLawSpectralModel(**kwargs)	Spectral broken power-law model.
CompoundSpectralModel(model1, model2, operator)	Arithmetic combination of two spectral models.
ConstantFluxSpatialModel(**kwargs)	Spatially constant flux spatial model.
ConstantSpatialModel(**kwargs)	Spatially constant (isotropic) spatial model.
ConstantSpectralModel(**kwargs)	Constant model.
ConstantTemporalModel(**kwargs)	Constant temporal model.
DatasetModels([models, covariance_data])	Immutable models container.
DiskSpatialModel(**kwargs)	Constant disk model.
EBLAbsorptionNormSpectralModel(energy, ...)	Gamma-ray absorption models.
ExpCutoffPowerLaw3FGLSpectralModel(**kwargs)	Spectral exponential cutoff power-law model used for 3FGL.
ExpCutoffPowerLawNormSpectralModel([index, ...])	Norm spectral exponential cutoff power-law model.
ExpCutoffPowerLawSpectralModel(**kwargs)	Spectral exponential cutoff power-law model.
ExpDecayTemporalModel(**kwargs)	Temporal model with an exponential decay.
FoVBackgroundModel(dataset_name[, ...])	Field of view background model.
GaussianSpatialModel(**kwargs)	Two-dimensional Gaussian model.
GaussianSpectralModel(**kwargs)	Gaussian spectral model.
GaussianTemporalModel(**kwargs)	A Gaussian temporal profile.
GeneralizedGaussianSpatialModel(**kwargs)	Two-dimensional Generalized Gaussian model.
GeneralizedGaussianTemporalModel(**kwargs)	A generalized Gaussian temporal profile.
LightCurveTemplateTemporalModel(map[, ...])	Temporal light curve model.
LinearTemporalModel(**kwargs)	Temporal model with a linear variation.
LogParabolaNormSpectralModel([norm, ...])	Norm spectral log parabola model.
LogParabolaSpectralModel(**kwargs)	Spectral log parabola model.
MeyerCrabSpectralModel(**kwargs)	Meyer 2010 log polynomial Crab spectral model.
Model()	Model class that contains only methods to create a model listed in the registries.
Models([models, covariance_data])	Sky model collection.
ModelBase(**kwargs)	Model base class.
NaimaSpectralModel(radiative_model[, ...])	A wrapper for Naima models.
PiecewiseNormSpectralModel(energy[, norms, ...])	Piecewise spectral correction with a free normalization at each fixed energy nodes.
PiecewiseNormSpatialModel(coords[, norms, ...])	Piecewise spatial correction with a free normalization at each fixed nodes.
PointSpatialModel(**kwargs)	Point Source.
PowerLaw2SpectralModel(**kwargs)	Spectral power-law model with integral as amplitude parameter.
PowerLawNormSpectralModel(**kwargs)	Spectral power-law model with normalized amplitude parameter.
PowerLawSpectralModel(**kwargs)	Spectral power-law model.
PowerLawTemporalModel(**kwargs)	Temporal model with a Power Law decay.
Prior(**kwargs)	Prior base class.
GaussianPrior(**kwargs)	One-dimensional Gaussian Prior.
UniformPrior(**kwargs)	Uniform Prior.
ScaleSpectralModel(model[, norm])	Wrapper to scale another spectral model by a norm factor.
Shell2SpatialModel(**kwargs)	Shell model with outer radius and relative width parametrization.
ShellSpatialModel(**kwargs)	Shell model.
SineTemporalModel(**kwargs)	Temporal model with a sinusoidal modulation.
SkyModel(spectral_model[, spatial_model, ...])	Sky model component.
SmoothBrokenPowerLawSpectralModel(**kwargs)	Spectral smooth broken power-law model.
SpatialModel(**kwargs)	Spatial model base class.
SpectralModel(**kwargs)	Spectral model base class.
SuperExpCutoffPowerLaw3FGLSpectralModel(**kwargs)	Spectral super exponential cutoff power-law model used for 3FGL.
SuperExpCutoffPowerLaw4FGLDR3SpectralModel(...)	Spectral super exponential cutoff power-law model used for 4FGL-DR3.
SuperExpCutoffPowerLaw4FGLSpectralModel(**kwargs)	Spectral super exponential cutoff power-law model used for 4FGL-DR1 (and DR2).
TemplatePhaseCurveTemporalModel(table[, ...])	Temporal phase curve model.
TemplateSpatialModel(map[, meta, normalize, ...])	Spatial sky map template model.
TemplateSpectralModel(energy, values[, ...])	A model generated from a table of energy and value arrays.
TemplateNDSpatialModel(map[, interp_kwargs, ...])	A model generated from a ND map where extra dimensions define the parameter space.
TemplateNDSpectralModel(map[, ...])	A model generated from a ND map where extra dimensions define the parameter space.
TemplateNPredModel(map[, spectral_model, ...])	Background model.
TemporalModel(**kwargs)	Temporal model base class.

Variables

MODEL_REGISTRY	Registry of model classes
SPATIAL_MODEL_REGISTRY	Registry of spatial model classes.
SPECTRAL_MODEL_REGISTRY	Registry of spectral model classes.
TEMPORAL_MODEL_REGISTRY	Registry of temporal models classes.
EBL_DATA_BUILTIN

gammapy.modeling.models.utils Module

Functions

read_hermes_cube(filename)

Read 3d templates produced with hermes.