lib.theory.linear.LinearModel

class lib.theory.linear.LinearModel(pklin, klin=None, FoG='gaussian')

Bases: lib.theory.base.BasePTModel

Linear RSD Kaiser model.

Initialize BasePTModel.

Parameters

• pklin (array, callable, PowerSpectrumInterpolator1D) – Linear power spectrum. If array, klin must be provided.

• klin (array, default=None) – Wavenumbers. Must be provided if pklin is an array.

• FoG (callable, string, default='gaussian') – Type of Finger-of-God effect.

Methods

copy	Return shallow copy of self.
deepcopy
eval	Return power spectrum at input k, mu.
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
pk_mu	Return power spectrum at input k, mu.
save	Save class to disk.
save_auto	If different formats are possible, this method should between them based on file name extension.

Attributes

logger
mpiattrs	MPI attributes
mpicomm
mpiroot
mpistate

__call__(*args, **kwargs)

Evaluate model.

copy()

Return shallow copy of self.

eval(k, mu=0.0, b1=2.0, shotnoise=0.0, f=1.0, grid=True, **kwargs)

Return power spectrum at input k, mu.

Parameters

• k (array) – Wavenumbers.

• mu (array) – Angle to the line-of-sight.

• b1 (float) – Linear bias.

• shotnoise (float) – Shot noise.

• f (float) – Growth rate.

• grid (bool) – Whether input k, mu should be interpreted as a grid, in which case the output will be an array of shape (k.size, mu.size).

• kwargs (dict) – Arguments for FoG.

Returns

pk_mu

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.

property mpiattrs

MPI attributes

pk_mu(k, mu=0.0, b1=2.0, shotnoise=0.0, f=1.0, grid=True, **kwargs)

Return power spectrum at input k, mu.

Parameters

• k (array) – Wavenumbers.

• mu (array) – Angle to the line-of-sight.

• b1 (float) – Linear bias.

• shotnoise (float) – Shot noise.

• f (float) – Growth rate.

• grid (bool) – Whether input k, mu should be interpreted as a grid, in which case the output will be an array of shape (k.size, mu.size).

• kwargs (dict) – Arguments for FoG.

Returns

pk_mu

Return type

array

save(filename)

Save class to disk.

save_auto(*args, **kwargs)

If different formats are possible, this method should between them based on file name extension.