smica.component.NoiseDiag Class Reference

NoiseDiag. More...

Inheritance diagram for smica.component.NoiseDiag:

Public Member Functions
def	get_dim
def	is_astro
def	set_theta
def	get_theta
def	score
def	get_thetascore
def	get_thetafim
def	get_thetaroot_local
Public Member Functions inherited from smica.component.Noise
def	is_astro
def	__init__
def	set_powspec
def	fix_powspec
def	powspec
def	covariance
def	close_form
def	plot_powspec
Public Member Functions inherited from smica.component.Component
def	plot_power
def	plot_em
def	set_gaussian_prior
def	get_penalty
def	get_score_penalty
def	get_fim_penalty

Additional Inherited Members
Public Attributes inherited from smica.component.Noise
	ndet
	nbin
	name

Detailed Description

NoiseDiag.

---

A non correlated noise component

The noise power spectra are stored in a (ndet, nbin) array.

Member Function Documentation

def smica.component.NoiseDiag.get_dim

(

self)

Return the number of free parameters of the component.

def smica.component.NoiseDiag.get_theta	(		self,
			powspec = None
	)

Return component parameters as a vector.

Parameters
----------
powspec : array-like, shape (ndet, nbin).
If None, values are read from inner power spectra.

Returns
----------
array-like, shape (N, 1), where N is the number of free parameters.

def smica.component.NoiseDiag.get_thetafim	(		self,
			iRr,
			w,
			B = None
	)

Return Fisher Information Matrix.

Parameters
----------
iRr : array-like, shape (ndet, ndet, nbin).
iRr is the square root of the inverse of the covariance of the
model, which is constant for all components.
w : array-like, shape (1, nbin). w is the number of modes for each bin.

Returns
----------
array-like, shape (N, N), where N is the number of free parameters.

def smica.component.NoiseDiag.get_thetaroot_local	(		self,
			iRr,
			Bq,
			bin = 0
	)

Return root contribution to the Fisher Information Matrix of
local parameters for a given bin.

Parameters
----------
iRr : array-like, shape (ndet, ndet).
  iRr is the square root of the inverse of the covariance of
  the model, which is constant for all components.

Bq : array-like, shape (ndet, ndet)
  Bq is the beam matrix at bin q.  Not used by this component but
  present for corresponding API.

q : int
  The bin number

Returns
-------
  array-like, shape (ndet * ndet, N), where N is the number of
  local free parameters and ndet the number of detectors.

def smica.component.NoiseDiag.get_thetascore	(		self,
			D,
			B = None
	)

Return likelihood first derivative values wrt component
parameters as a vector.

Parameters
----------
D : array-like, shape (ndet, ndet, nbin).
D is the first derivative of the likelihood wrt the covariance
of the model, which is constant for all components.

Returns
----------
array-like, shape (N, 1), where N is the number of free parameters.

def smica.component.NoiseDiag.score	(		self,
			D
	)

Return first derivative of the likelihood wrt component parameters.

Parameters
----------
D : array-like, shape (ndet, ndet, nbin).
D is the first derivative of the likelihood wrt the covariance
of the model, which is constant for all components.

Returns
-------
array, shape (ndet, nbin).
The score of fixed parameters is set to zero.

def smica.component.NoiseDiag.set_theta	(		self,
			theta
	)

Set new values for component parameters.

Parameters
----------
theta : array-like, shape (N, 1), where N is the number of free parameters.

---

The documentation for this class was generated from the following file:

• smica/component.py