background - Background modeling¶
gammapy.background contains methods to estimate and model background for
specral, image based and cube analyses.
Most of the methods implemented are described in [Berge2007]. Section 7.3 “Background subtraction” and Section 7.4 “Acceptance determination and predicted background” in [Naurois2012] describe mostly the same methods as [Berge2007], except for the “2D acceptance model” described in Section 7.4.3.
TODO: example how to read and use a 2D and A 3D background model
If you’d like to learn more about using
gammapy.background, read the following
Background estimation and modeling methods.
||Adaptive ring background algorithm.|
||Container class for background estimate.|
||Background estimation with on and off phases.|
||Reflected Regions background estimator.|
||Find reflected regions.|
||Ring background method for cartesian coordinates.|