IACTBasicImageEstimator

class gammapy.image.IACTBasicImageEstimator(reference, emin, emax, offset_max=<Angle 2.5 deg>, spectral_model=None, background_estimator=None, exclusion_mask=None)

Bases: gammapy.image.basic.BasicImageEstimator

Estimate the basic sky images for a set of IACT observations.

The following images will be computed:

• counts
• exposure
• background

Parameters:

reference : SkyImage

Reference sky image.

emin : Quantity

Lower bound of energy range.

emax : Quantity

Upper bound of energy range.

offset_max : Angle

Upper bound of offset range.

spectral_model : SpectralModel

Spectral model assumption to compute mean exposure and psf image.

background_estimator : TODO

Instance of background estimation method.

exclusion_mask : SkyImage

Exclusion mask.

Methods Summary

psf(observations)	Mean point spread function kernel image.
run(observations[, which])	Run IACT basic image estimation for a list of observations.

Methods Documentation

psf(observations)

Mean point spread function kernel image.

Parameters:

observations : ObservationList

List of observations

Returns:

kernel : SkyImage

PSF kernel as sky image.

run(observations, which='all')

Run IACT basic image estimation for a list of observations.

Parameters:

observations : ObservationList

List of observations

Returns:

sky_images : SkyImageList

List of sky images