lib.theory.integration.MultipoleExpansion¶

class lib.theory.integration.MultipoleExpansion(input_model=None)¶

Bases: cosmopipe.lib.utils.BaseClass

Class performing Legendre expansion of multipoles.

Parameters

model (BaseModel, callable) – Input model.
basis (ProjectionBasis, default=None) – Projection basis. If None uses BaseModel.basis attribute of input model.

Methods

`copy`	Return shallow copy of `self`.
`deepcopy`
`from_state`	Instantiate and initalize class with state dictionary.
`is_mpi_broadcast`
`is_mpi_gathered`
`is_mpi_root`
`is_mpi_scattered`
`load`	Load class in numpy binary format from disk.
`load_auto`	If different formats are possible, this method should between them based on file name extension.
`log_critical`
`log_debug`
`log_error`
`log_info`
`log_warning`
`save`	Save class to disk.
`save_auto`	If different formats are possible, this method should between them based on file name extension.

Attributes

__call__(x, mu, grid=True, **kwargs)¶

Parameters

x (array) – x-coordinates (\(k\) or \(s\)).
mu (array) – Angle to the line-of-sight.
grid (bool) – Whether input x, mu should be interpreted as a grid, in which case the output will be arrays of shape (x.size, mu.size).
kwargs (dict) – Arguments for input model.

Returns

model

Return type

array

classmethod from_state(state, mpiroot=0, mpicomm=None)¶: Instantiate and initalize class with state dictionary.

classmethod load(filename, mpiroot=0, mpicomm=None)¶: Load class in numpy binary format from disk. If the loaded state contains __class__ and that exists in cls._registry, return instance of cls._registry[__class__] (instead of cls).

load_auto(*args, **kwargs)¶: If different formats are possible, this method should between them based on file name extension.

save_auto(*args, **kwargs)¶: If different formats are possible, this method should between them based on file name extension.