uvex_transients.models.lightcurves.generic.BrokenPowerLawLightcurve.simulate

BrokenPowerLawLightcurve.simulate(t: Quantity, size: int = 1, *, rng: RNGInput = None) → Quantity

Draw random parameter realizations and evaluate the model at the given time.

Equivalent to self.eval(t, **self.sample_parameters(size=size, rng=rng)).

Parameters:

• t (Quantity) – Time since explosion. See eval().

• size (int) – Number of realizations to draw.

• rng (numpy.random.Generator, int, or None) – Random-number source, forwarded to sample_parameters().

Returns:

\(L_\mathrm{bol}(t)\), in erg/s.

Return type:

Quantity

See also

eval

The underlying evaluation.

sample_parameters

The underlying sampling.