Analysis

class gammapy.scripts.Analysis(config=None)

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 configuration schema YAML file, 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 scripts - High-level interface.

Parameters:

config : dict or AnalysisConfig

Configuration options following AnalysisConfig schema

Attributes Summary

config	Analysis configuration (AnalysisConfig)
settings	Configuration settings for the analysis session.

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.
run_fit(self[, optimize_opts])	Fitting reduced datasets to model.
set_model(self[, model, filename])	Read the model from dict or filename and attach it to datasets.

Attributes Documentation

config

Analysis configuration (AnalysisConfig)

settings

Configuration settings for the analysis session.

Methods Documentation

get_datasets(self)

Produce reduced datasets.

get_flux_points(self, source='source')

Calculate flux points for a specific model component.

Parameters:

source : string

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.

run_fit(self, optimize_opts=None)

Fitting reduced datasets to model.

set_model(self, model=None, filename='')

Read the model from dict or filename and attach it to datasets.

Parameters:

model: dict or string

Dictionary or string in YAML format with the serialized model.

filename : string

Name of the model YAML file describing the model.