estimators - High level estimators

gammapy.estimators Package

Estimators.

Classes

ASmoothMapEstimator([scales, kernel, ...])	Adaptively smooth counts image.
Estimator()	Abstract estimator base class.
ExcessMapEstimator([correlation_radius, ...])	Computes correlated excess, significance and error maps from a map dataset.
FluxMaps(data, reference_model[, meta, gti, ...])	A flux map / points container.
FluxPoints(data, reference_model[, meta, ...])	Flux points container.
FluxPointsEstimator([energy_edges, ...])	Flux points estimator.
FluxProfileEstimator(regions[, spectrum])	Estimate flux profiles
ImageProfile(table)	Image profile class.
ImageProfileEstimator([x_edges, method, ...])	Estimate profile from image.
LightCurveEstimator([time_intervals, atol])	Estimate light curve.
SensitivityEstimator([spectrum, n_sigma, ...])	Estimate sensitivity.
TSMapEstimator([model, kernel_width, ...])	Compute TS map from a MapDataset using different optimization methods.

Variables

ESTIMATOR_REGISTRY

Registry of estimator classes in Gammapy.

gammapy.estimators.utils Module

Functions

estimate_exposure_reco_energy(dataset[, ...])	Estimate an exposure map in reconstructed energy.
find_peaks(image, threshold[, min_distance])	Find local peaks in an image.
resample_energy_edges(dataset[, conditions])	Return energy edges that satisfy given condition on the per bin statistics.