threeML.utils.fitted_objects package
Submodules
threeML.utils.fitted_objects.fitted_point_sources module
- class threeML.utils.fitted_objects.fitted_point_sources.DifferentialFluxConversion(flux_unit, energy_unit, flux_model, test_model)[source]
Bases:
FluxConversion
- class threeML.utils.fitted_objects.fitted_point_sources.FittedPointSourceSpectralHandler(analysis_result, source, energy_range, energy_unit, flux_unit, confidence_level=0.68, equal_tailed=True, component=None, is_differential_flux=True)[source]
Bases:
GenericFittedSourceHandler- property components
the components of the function
- Type:
return
- property is_dimensionless
- class threeML.utils.fitted_objects.fitted_point_sources.FluxConversion(flux_unit, energy_unit, flux_model)[source]
Bases:
object- property conversion_factor
the conversion factor needed to finalize the model into the proper units after computations
- Returns:
- property is_dimensionless
- property model
the model converted
- Returns:
a model in the proper units
- class threeML.utils.fitted_objects.fitted_point_sources.IntegralFluxConversion(flux_unit, energy_unit, flux_model, test_model)[source]
Bases:
FluxConversion
- exception threeML.utils.fitted_objects.fitted_point_sources.InvalidUnitError[source]
Bases:
RuntimeError
threeML.utils.fitted_objects.fitted_source_handler module
- class threeML.utils.fitted_objects.fitted_source_handler.GenericFittedSourceHandler(analysis_result, new_function, parameter_names, parameters, confidence_level, equal_tailed, *independent_variable_range)[source]
Bases:
object- property average
the average of the variates
- Type:
return
- property lower_error
the lower error of the variates
- Type:
return
- property median
the median of the variates
- Type:
return
- property samples
the raw samples of the variates
- Type:
return
- property upper_error
the upper error of the variates
- Type:
return
- property values
The VariatesContainer
- Type:
return
- class threeML.utils.fitted_objects.fitted_source_handler.VariatesContainer(values, out_shape, cl, transform, equal_tailed=True)[source]
Bases:
object- property average
the transformed average
- Type:
return
- property lower_error
the transformed lower error
- Type:
return
- property median
the transformed median
- Type:
return
- property samples
the transformed raw samples
- Type:
return
- property upper_error
the transformed upper error
- Type:
return
- property values
the list of of RandomVariates
- Type:
return