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 differential 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.