integrate_spectrum

gammapy.modeling.models.integrate_spectrum(func, energy_min, energy_max, ndecade=100, energy_flux=False, parameter_samples=None)

Integrate one-dimensional function using the log-log trapezoidal rule.

Internally an oversampling of the energy bins to “ndecade” is used.

To compute the integral func(E)*E (e.g. to get an energy flux) one can set energy_flux to True.

Parameters:

funccallable

Function to integrate. Usually this is a SpectralModel

energy_minQuantity

Integration range minimum.

energy_maxQuantity

Integration range minimum.

ndecadeint, optional

Number of grid points per decade used for the integration. Default is 100.

parameter_sampleslist, optional

List of parameter quantities to pass to func.evaluate if it exists. This provides vectorized integral evaluation for parameter samples. If None, evaluation is performed with a simple call to func. Default is None.

energy_fluxbool, optional

If True, the function will integrate func(E)*E, to compute the energy flux. Default is False.