SensitivityEstimator

class gammapy.estimators.SensitivityEstimator(spectrum=None, sigma=5.0, gamma_min=10)

Bases: object

Estimate differential sensitivity.

This class allows to determine for each reconstructed energy bin the flux associated to the number of gamma-ray events for which the significance is sigma, and being larger than gamma_min and bkg_sys percent larger than the number of background events in the ON region.

Parameters

spectrumSpectralModel

Spectral model assumption

sigmafloat, optional

Minimum significance

gamma_minfloat, optional

Minimum number of gamma-rays

Examples

For a usage example see cta_sensitivity.html

Methods Summary

estimate_min_e2dnde(self, excess, dataset)	Estimate dnde from given min.
estimate_min_excess(self, dataset)	Estimate minimum excess to reach the given significance.
run(self, dataset)	Run the sensitivty estimation

Methods Documentation

estimate_min_e2dnde(self, excess, dataset)

Estimate dnde from given min. excess

Parameters

excessRegionNDMap

Minimal excess

datasetSpectrumDataset

Spectrum dataset

Returns

e2dndeQuantity

Minimal differential flux.

estimate_min_excess(self, dataset)

Estimate minimum excess to reach the given significance.

Parameters

datasetSpectrumDataset

Spectrum dataset

Returns

excessRegionNDMap

Minimal excess

run(self, dataset)

Run the sensitivty estimation

Parameters

datasetSpectrumDatasetOnOff

Dataset to compute sensitivty for.

Returns

sensitivityTable

Sensitivity table