bilby.gw.prior.HealPixPrior

class bilby.gw.prior.HealPixPrior(dist, name=None, latex_label=None, unit=None)

Bases: JointPrior

A prior distribution that follows a user-provided HealPix map for one parameter.

See bilby.gw.prior.HealPixMapPriorDist for more details of how to instantiate the prior.

__init__(dist, name=None, latex_label=None, unit=None)

Parameters:

dist: bilby.gw.prior.HealPixMapPriorDist

The base joint probability.

name: str

The name of the parameter, it should be contained in the map. One of [“ra”, “dec”, “luminosity_distance”].

latex_label: str

Latex label used for plotting, will be read from default values if not provided.

unit: str

The unit of the parameter.

__call__()

Overrides the __call__ special method. Calls the sample method.

Returns:

float: The return value of the sample method.

Methods

__init__(dist[, name, latex_label, unit])
cdf(*args[, xp])
from_json(dct)
from_repr(string)	Generate the prior from its __repr__
get_instantiation_dict()
is_in_prior_range(val)	Returns True if val is in the prior boundaries, zero otherwise
ln_prob(*args[, xp])
prob(*args[, xp])	Return the prior probability of val, this should be overwritten
rescale(*args[, xp])	'Rescale' a sample from the unit line element to the prior.
sample([size, random_state])	Draw a sample from the prior.
to_json()

Attributes

boundary
is_fixed	Returns True if the prior is fixed and should not be used in the sampler.
latex_label	Latex label that can be used for plots.
latex_label_with_unit	If a unit is specified, returns a string of the latex label and unit
maximum
minimum
unit
width

classmethod from_repr(string)

Generate the prior from its __repr__

property is_fixed

Returns True if the prior is fixed and should not be used in the sampler. Does this by checking if this instance is an instance of DeltaFunction.

Returns:

bool: Whether it’s fixed or not!

is_in_prior_range(val)

Returns True if val is in the prior boundaries, zero otherwise

Parameters:

val: Union[float, int, array_like]

Returns:

np.nan

property latex_label

Latex label that can be used for plots.

Draws from a set of default labels if no label is given

Returns:

str: A latex representation for this prior

property latex_label_with_unit

If a unit is specified, returns a string of the latex label and unit

prob(*args, xp=None, **kwargs)

Return the prior probability of val, this should be overwritten

Parameters:

val: Union[float, int, array_like]

Returns:

np.nan

rescale(*args, xp=None, **kwargs)

‘Rescale’ a sample from the unit line element to the prior.

This should be overwritten by each subclass.

Parameters:

val: Union[float, int, array_like]

A random number between 0 and 1

Returns:

None

sample(size=1, *, random_state=None, **kwargs)

Draw a sample from the prior.

Parameters:

size: int, float (defaults to 1)

number of samples to draw

kwargs: dict

kwargs passed to the dist.sample method

Returns

=======

float:

A sample from the prior parameter.