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 thangamma_min
andbkg_sys
percent larger than the number of background events in the ON region.Attributes Summary
results_table
Results table ( Table
).Methods Summary
run
()Run the computation. Attributes Documentation
Methods Documentation
- arf :