SpectrumDataset#

class gammapy.datasets.SpectrumDataset[source]#

Bases: PlotMixin, MapDataset

Main dataset for spectrum fitting (1D analysis).

It bundles together binned counts, background, IRFs into RegionNDMap (a Map with only one spatial bin). A safe mask and a fit mask can be added to exclude bins during the analysis. If models are assigned to it, it can compute the predicted number of counts and the statistic function, here the Cash statistic (see cash).

For more information see Datasets (DL4).

Attributes Summary

tag

Methods Summary

cutout(*args, **kwargs)

Not supported for SpectrumDataset.

plot_residuals_spatial(*args, **kwargs)

Not supported for SpectrumDataset.

to_spectrum_dataset(*args, **kwargs)

Not supported for SpectrumDataset.

Attributes Documentation

tag = 'SpectrumDataset'#

Methods Documentation

cutout(*args, **kwargs)[source]#

Not supported for SpectrumDataset.

plot_residuals_spatial(*args, **kwargs)[source]#

Not supported for SpectrumDataset.

to_spectrum_dataset(*args, **kwargs)[source]#

Not supported for SpectrumDataset.

__init__(models=None, counts=None, exposure=None, background=None, psf=None, edisp=None, mask_safe=None, mask_fit=None, gti=None, meta_table=None, name=None, meta=None, stat_type='cash')#
classmethod __new__(*args, **kwargs)#