mrpy.extra.reparameterise.ReparameteriseSampleLike¶
-
class
mrpy.extra.reparameterise.
ReparameteriseSampleLike
(p1=None, p2=None, p3=None, logHs=None, alpha=None, beta=None, **kwargs)¶ An extension of
ReparameteriseMRP
which adds necessary methods for calculating jacobians and hessians for per-object likelihoods.See
ReparameteriseMRP
for arguments.Methods
__init__
([p1, p2, p3, logHs, alpha, beta])dndlog10m
([log])Return the MRP in log10 space at `m’. dndm
([log])Return the MRP at m. ngtm
([log])The number density greater than mmin. p_T
(**kwargs)The new parameters as functions of theta rho_gtm
([log])The mass-weighted integral of the MRP, in reverse (ie. theta_T
(**kwargs)theta as functions of the new parameters p1,p2,p3