weight

lstchain.mc.mc.weight(shape, emin, emax, sim_sp_idx, rate, nev, w_param)

Calculates the weight of events to transform a power-law distribution with spectral index sim_sp_idx to a power-law distribution with spectral index w_sp_idx

Parameters:

shape: `string` estimated spectrum shape

emin: `float` minimum energy

emax: `float` maximum energy

sim_sp_idx: `float` simulated spectral index of the power-law distribution

rate: `float` rate of simulated events

nev: `int` number of simulated events

w_param: `dict` with weighted spectral parameters

if shape is ‘PowerLaw’:

w_param should include ‘f0’,’e0’,’alpha’

dFdE = f0 * np.power(E / e0, alpha)

if shape is ‘LogParabola’:

w_param should include ‘f0’,’e0’,’alpha’,’beta’

dFdE = f0 * np.power(E / e0, alpha + beta * np.log10(E/e0))

Returns:

weight: float rate of events