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 (seecash
).For more information see Datasets (DL4).
Attributes Summary
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)#