SourceCatalogObject3PC

class gammapy.catalog.SourceCatalogObject3PC

Bases: SourceCatalogObjectFermiPCBase

One source from the 3PC catalog.

Attributes Summary

asso
flux_points_table	Flux points (Table).
pulse_profile_best_fit	Best fit of the > 100 MeV 3PC pulse profile.
pulse_profile_radio	Radio pulse profile provided in the auxiliary file of 3PC.
pulse_profiles	The 3PC pulse profiles are provided in different energy ranges, each represented in weighted counts.

Methods Summary

spectral_model([fit])

Best fit spectral model.

Attributes Documentation

asso = ['assoc_new']

flux_points_table

Flux points (Table). Flux point is an upper limit if its significance is less than 2.

pulse_profile_best_fit

Best fit of the > 100 MeV 3PC pulse profile.

Returns:

best_fit_profile: RegionNDMap

Map containing the best fit.

pulse_profile_radio

Radio pulse profile provided in the auxiliary file of 3PC.

Returns:

radio_profile: RegionNDMap

Map containing the radio profile.

pulse_profiles

The 3PC pulse profiles are provided in different energy ranges, each represented in weighted counts.

These profiles are stored in a Maps of RegionNDMap, one per energy bin.

The Maps keys correspond to specific energy ranges as follows:

• GT100_WtCnt: > 0.1 GeV

• 50_100_WtCt: 0.05 – 0.1 GeV

• 100_300_WtCt: 0.1 – 0.3 GeV

• 300_1000_WtCt: 0.3 – 1 GeV

• 1000_3000_WtCt: 1 – 3 GeV

• 3000_100000_WtCt: 3 – 1000 GeV

• 10000_100000_WtCt: 10 – 1000 GeV

Each pulse profile has an associated uncertainty map, which can be accessed by prepending "Unc_" to the corresponding key.

Returns:

maps: Maps

Maps containing the pulse profile in the different energy bin.

Methods Documentation

spectral_model(fit='auto')

Best fit spectral model.

In the 3PC, Fermi-LAT collaboration tried to fit a SuperExpCutoffPowerLaw4FGLDR3SpectralModel with the exponential index index_2 free, or fixed to 2/3. These two models are referred as “b free” and “b 23”. For most pulsars, both models are available. However, in some cases the “b free” model did not fit correctly.

Parameters:

fitstr, optional

Which fitted model to return. The user can choose between “auto”, “b free” and “b 23”. “auto” will always try to return the “b free” first and fall back to the “b 23” fit if “b free” is not available. Default is “auto”.

__init__(data, data_extended=None, data_spectral=None)

classmethod __new__(*args, **kwargs)