FoVBackgroundMaker

class gammapy.cube.FoVBackgroundMaker(method='scale', exclusion_mask=None)

Bases: object

Normalize template background on the whole field-of-view.

The dataset background model can be simply scaled (method=”scale”) or fitted (method=”fit”) on the dataset counts.

The normalization is performed outside the exclusion mask that is passed on init.

If a SkyModel is set on the input dataset and method is ‘fit’, its are frozen during the fov normalization fit.

Parameters

methodstr in [‘fit’, ‘scale’]

the normalization method to be applied. Default ‘scale’.

exclusion_maskWcsNDMap

Exclusion mask

Methods Summary

run(self, dataset)

Run FoV background maker.

Methods Documentation

run(self, dataset)

Run FoV background maker.

Fit the background model norm

Parameters

datasetMapDataset

Input map dataset.