Analysis

class gammapy.analysis.Analysis(config)

Bases: object

Config-driven high-level analysis interface.

It is initialized by default with a set of configuration parameters and values declared in an internal high-level interface model, though the user can also provide configuration parameters passed as a nested dictionary at the moment of instantiation. In that case these parameters will overwrite the default values of those present in the configuration file.

For more info see analysis - High-level interface.

Parameters

configdict or AnalysisConfig

Configuration options following AnalysisConfig schema

Attributes Summary

config

Analysis configuration (AnalysisConfig)

Methods Summary

get_datasets(self)	Produce reduced datasets.
get_flux_points(self[, source])	Calculate flux points for a specific model component.
get_observations(self)	Fetch observations from the data store according to criteria defined in the configuration.
read_models(self, path)	Read models from YAML file.
run_fit(self[, optimize_opts])	Fitting reduced datasets to model.
set_models(self, models)	Set models on datasets.
update_config(self, config)

Attributes Documentation

config

Analysis configuration (AnalysisConfig)

Methods Documentation

get_datasets(self)

Produce reduced datasets.

get_flux_points(self, source='source')

Calculate flux points for a specific model component.

Parameters

sourcestring

Name of the model component where to calculate the flux points.

get_observations(self)

Fetch observations from the data store according to criteria defined in the configuration.

read_models(self, path)

Read models from YAML file.

run_fit(self, optimize_opts=None)

Fitting reduced datasets to model.

set_models(self, models)

Set models on datasets.

Parameters

modelsSkyModels or str

SkyModels object or YAML models string

update_config(self, config)