ObservationsConfig

class gammapy.analysis.ObservationsConfig

Bases: GammapyBaseConfig

Configuration for Observations.

Attributes:

datastorestr

Path to the data store.

obs_idslist of int

List of observation IDs.

obs_filestr

Path to a YAML observation file.

obs_conedict

Cone selection for observations. Should contain the following keys ‘frame’, ‘lat’, ‘lon’ and ‘radius’, the latter three as angle quantities.

obs_timedict

Observation time filtering. Should contain the following keys ‘start’ and ‘stop’ as time quantities.

required_irflist

Required IRF components, options are “aeff”, “edisp”, “psf”, “bkg”

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Attributes Summary

model_config

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

Attributes Documentation

model_config: ClassVar[ConfigDict] = {'arbitrary_types_allowed': True, 'extra': 'forbid', 'use_enum_values': True, 'validate_assignment': True, 'validate_default': True}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

__init__(**data)

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Parameters:

data (Any)

Return type:

None

classmethod __new__(*args, **kwargs)