likelihood_profile_ul_scipy¶

gammapy.utils.fitting.likelihood_profile_ul_scipy(value_scan, dloglike_scan, delta_ts=4, interp_scale='sqrt', **kwargs)[source]¶

Compute upper limit of a parameter from a likelihood profile.

Parameters:

value_scan : ndarray: Array of parameter values.
dloglike_scan : ndarray: Array of delta log-likelihood values, with respect to the minimum.
delta_ts : float: Difference in test statistics for the upper limit.
interp_scale : {“sqrt”, “lin”}: Interpolation scale applied to the likelihood profile. If the profile is of parabolic shape, a “sqrt” scaling is recommended. In other cases or for fine sampled profiles a “lin” can also be used.
**kwargs : dict: Keyword arguments passed to brentq.

Returns: