SensitivityEstimator¶

class gammapy.spectrum.SensitivityEstimator(arf, rmf, bkg, livetime, index=2.0, alpha=0.2, sigma=5.0, gamma_min=10.0, bkg_sys=0.05)[source]¶

Bases: object

Estimate differential sensitivity.

Uses a 1D spectral analysis and on / off measurement.

Parameters:

arf : EffectiveAreaTable: 1D effective area
rmf : EnergyDispersion: energy dispersion table
bkg : CountsSpectrum: the background array
livetime : Quantity: Livetime (object with the units of time), e.g. 5*u.h
index : float, optional: Index of the spectral shape (Power-law), should be positive (>0)
alpha : float, optional: On/OFF normalisation
sigma : float, optional: Minimum significance
gamma_min : float, optional: Minimum number of gamma-rays
bkg_sys : float, optional: Fraction of Background systematics relative to the number of ON counts
An example can be found in :gp-notebook:`cta_sensitivity` .

Notes

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.

Attributes Summary

results_table Results table (Table).

Methods Summary

run(self) Run the computation.

Attributes Documentation

results_table¶: Results table (Table).

Methods Documentation

run(self)[source]¶: Run the computation.