ReflectedRegionsBackgroundEstimator¶
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class
gammapy.background.ReflectedRegionsBackgroundEstimator(on_region, observations, **kwargs)[source]¶ Bases:
objectReflected Regions background estimator.
This class is responsible for creating a
BackgroundEstimateby placing reflected regions given a target region and an observation.For a usage example see spectrum_analysis.html
Parameters: - on_region :
CircleSkyRegion Target region
- observations :
Observations Observations to process
- kwargs : dict
Forwarded to
gammapy.background.ReflectedRegionsFinder
Methods Summary
plot([fig, ax, cmap, idx, add_legend])Standard debug plot. process(obs)Estimate background for one observation. run()Run all steps. Methods Documentation
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plot(fig=None, ax=None, cmap=None, idx=None, add_legend=False)[source]¶ Standard debug plot.
Parameters: - cmap :
ListedColormap, optional Color map to use
- idx : int, optional
Observations to include in the plot, default: all
- add_legend : boolean, optional
Enable/disable legend in the plot, default: False
- cmap :
- on_region :