estimators - High level estimators#
gammapy.estimators Package#
Estimators.
Classes#
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Adaptively smooth counts image. |
Abstract estimator base class. |
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Computes correlated excess, significance and error maps from a map dataset. |
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A flux map / points container. |
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Flux points container. |
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Flux points estimator. |
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Estimate flux profiles. |
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Image profile class. |
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Estimate profile from image. |
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Estimate light curve. |
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Model parameter estimator. |
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Estimate sensitivity. |
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Compute test statistic map from a MapDataset using different optimization methods. |
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Test if there is any energy-dependent morphology in a map dataset for a given set of energy bins. |
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Metadata containing information about the FluxPoints and FluxMaps. |
Variables#
Registry of estimator classes in Gammapy. |
gammapy.estimators.utils Module#
Functions#
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Computes excess and significance for a set of datasets. |
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Estimate an exposure map in reconstructed energy. |
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Find local peaks in an image. |
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Find local test statistic peaks for a given Map. |
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Return energy edges that satisfy given condition on the per bin statistics. |
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Get the rebinned axis for resampling the flux point object along the mentioned axis. |
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Compute the fractional excess variance of the input lightcurve. |
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Compute the point-to-point excess variance of the input lightcurve. |
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Compute the minimum characteristic flux doubling and halving time for the input lightcurve. |
Compute the discrete correlation function for two lightcurves, or the discrete autocorrelation if only one lightcurve is provided. |