Likelihood3d

class aquila_borg.likelihood.Likelihood3d

Base class to represent 3d likelihoods in BORG.

The likelihoods are 3d as they manipulate 3d meshes. This object is abstract and cannot be directly inherited in Python. Please use BaseLikelihood to create new likelihood in Python.

generateMockData(self: aquila_borg._borg.likelihood.Likelihood3d, arg0: numpy.ndarray[numpy.complex128], arg1: aquila_borg._borg.likelihood.MarkovState) → None

getCommunicator(self: aquila_borg._borg.likelihood.Likelihood3d) → object

gradientLikelihood(self: aquila_borg._borg.likelihood.Likelihood3d, arg0: numpy.ndarray[numpy.complex128]) → numpy.ndarray

initializeLikelihood(self: aquila_borg._borg.likelihood.Likelihood3d, arg0: aquila_borg._borg.likelihood.MarkovState) → None

logLikelihood(self: aquila_borg._borg.likelihood.Likelihood3d, arg0: numpy.ndarray[numpy.complex128]) → float

updateMetaParameters(self: aquila_borg._borg.likelihood.Likelihood3d, arg0: aquila_borg._borg.likelihood.MarkovState) → None

Methods

__init__	Initialize self.
generateMockData(self, arg0, arg1)
getCommunicator(self)
gradientLikelihood(self, arg0)
initializeLikelihood(self, arg0)
logLikelihood(self, arg0)
updateMetaParameters(self, arg0)