ThetaCalculatorScipy

class gammapy.image.models.ThetaCalculatorScipy(dist, theta_max, normalize=False)

Bases: object

Same functionality as NumericalThetaCalculator, but uses scipy.integrate.quad and scipy.optimize.fsolve instead.

Notes: It is more precise than ThetaCalculator and doesn’t require you to think about which theta binning and range gives your desired precision. If you have to compute many thetas this can be quite slow because it is a root finding with nested integration.

Parameters:

dist : callable

Probability distribution (probability per theta ^ 2)

theta_max : float

Integration range will be 0 .. theta_max ^ 2

normalize : bool

Normalize discretized distribution to 1?

Methods Summary

containment_fraction(theta)
containment_radius(containment_fraction)	Compute containment angle using the containment_fraction method plus numerical root finding.

Methods Documentation

containment_fraction(theta)

containment_radius(containment_fraction)

Compute containment angle using the containment_fraction method plus numerical root finding.