Analysis¶
-
class
gammapy.analysis.
Analysis
(config)[source]¶ 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
- configdict or
Attributes Summary
Analysis configuration (
AnalysisConfig
)Methods Summary
get_datasets
(self)Produce reduced datasets.
get_flux_points
(self)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_observations
(self)[source]¶ Fetch observations from the data store according to criteria defined in the configuration.