Removed example from example
@@ -35,23 +35,10 @@ class SensitivityEstimator(object):
bkg_sys : float, optional
Fraction of Background systematics relative to the number of ON counts
- Examples
- --------
- Compute a sensitivity curve for CTA::
-
- from gammapy.spectrum import SensitivityEstimator
-
- filename = '$GAMMAPY_DATA/cta/perf_prod2/point_like_non_smoothed/South_5h.fits.gz'
- irf = CTAPerf.read(filename)
- sensitivity_estimator = SensitivityEstimator(irf=irf, livetime='5h')
- sensitivity_estimator.run()
- print(sensitivity_estimator.results_table)
-
- Further examples in :gp-extra-notebook:`cta_sensitivity` .
+ An example can be found in :gp-extra-notebook:`cta_sensitivity` .
Notes
-----
- For the moment, only the differential point-like sensitivity is computed at a fixed offset.
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.
