likelihood#

class discovery.likelihood.PulsarLikelihood(args, concat=True)[source]#

Bases: object

property sample_conditional#
property conditional#
property clogL#
property logL#
property sample#
property white_noise_matrix#

Return the diagonal white noise matrix for this pulsar. It will be scaled by EFAC and ECORR, but will NOT include EQUAD.

class discovery.likelihood.GlobalLikelihood(psls, globalgp=None)[source]#

Bases: object

property sample#
property logL#
property plogL#
property sample_conditional#
property conditional#
class discovery.likelihood.ArrayLikelihood(psls, *, commongp=None, globalgp=None, transform=None)[source]#

Bases: object

property clogL#
property logL#
cglogL(cgmaxiter=100, make_logdet='CG-MDL', detmatvecs=5, detsamples=200, clip=None)[source]#