apply_F_prior

zdm.analyze_cube.apply_F_prior(lls: ndarray, Fdim: int, Fvalues: ndarray, F_0: float, F_sigma: float)

Applies a prior as a function of F

This is a Gaussian prior.

Parameters:

• lls (np.ndarray) – values of likelihoods

• Fdim (int) – dimension of F0 in the data

• Fvalues (float) – vector specifying values of H0

• F_0 (float) – value of F

• F_sigma (float) – 1 sigma uncertainty on F

Returns a vector of length lls modified by that prior.