create_map_dataset_from_observation

gammapy.datasets.create_map_dataset_from_observation(observation, models=None, dataset_name=None, energy_axis_true=None, energy_axis=None, energy_bin_per_decade_max=30, spatial_width=None, spatial_width_max=<Quantity 12. deg>, spatial_bin_size=None, spatial_bin_size_min=<Quantity 0.01 deg>)

Create a MapDataset, if energy axes, spatial width or bin size are not given they are determined automatically from the observation IRFs, but the estimated value cannot exceed the given limits.

Parameters

observationObservation

Observation to be simulated.

modelsModels, optional

Models. Default is None.

dataset_namestr, optional

If models contains one or multiple FoVBackgroundModel it should match the dataset_name of the background model to use. Default is None. If None it is determined from the observation ID.

energy_axis_trueMapAxis, optional

True energy axis. Default is None. If None it is determined from the observation IRFs.

energy_axisMapAxis, optional

Reconstructed energy axis. Default is None. If None it is determined from the observation IRFs.

energy_bin_per_decade_maxint, optional

Maximal number of bin per decade in energy for the reference dataset

spatial_widthQuantity, optional

Spatial window size. Default is None.

If None it is determined from the observation offset max or rad max.

spatial_width_maxQuantity, optional

Maximal spatial width. Default is 12 degree.

spatial_bin_sizeQuantity, optional

Pixel size. Default is None. If None it is determined from the observation PSF R68.

spatial_bin_size_minQuantity, optional

Minimal spatial bin size. Default is 0.01 degree.