smica.component.Fixed Class Reference

Fixed. More...

Inheritance diagram for smica.component.Fixed:

Public Member Functions
def	is_astro
def	__init__
def	covariance
def	set_covariance
def	get_dim
def	set_theta
def	get_theta
def	get_thetascore
def	get_thetaroot
def	get_thetafim
def	close_form
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

Public Attributes
	ndet
	nbin
	name
	R
Public Attributes inherited from smica.component.Component
	mu
	sigma_inv

Detailed Description

Fixed.

---

A fixed source component.

Constructor & Destructor Documentation

def smica.component.Fixed.__init__	(		self,
			ndet,
			nbin,
			name = None
	)

Initialize component dimensions.

Parameters
----------
ndet : number of detectors
nbin : number of bins
name : name of the component

Member Function Documentation

def smica.component.Fixed.close_form	(		self,
			stats,
			N
	)

Update local parameters (ie power spectra array) using a close form algorithm.

Parameters
----------
stats : array-like, shape (ndet, ndet, nbin).
Second order statistics ie empirical covariance matrices of
the observations.
N : array-like, shape (ndet, ndet, nbin).
Covariance matrices of the model deprived from the
contribution of the component.

def smica.component.Fixed.covariance	(		self,
			bin = None
	)

Return the covariance matrix(ces) (ie the contribution to the covariance of the model).

Parameters
----------
bin : bin number. If None, return all matrices in a three dimensional array.

Returns
-------
array, shape (ndet, ndet, nbin).

def smica.component.Fixed.get_dim

(

self)

Return the number of free parameters of the component.

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

Return component parameters as a vector.

Parameters
----------
mixmat : array-like, shape (ndet, 1).
If None, values are read from inner mixing matrix.
powspec : array-like, shape (1, nbin).
If None, values are read from inner power spectrum.

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

def smica.component.Fixed.get_thetafim	(		self,
			iRr,
			w
	)

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 half the number of modes for each bin.

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

def smica.component.Fixed.get_thetaroot	(		self,
			iRr,
			bin = 0
	)

Return root contribution to the Fisher Information Matrix 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.
bin : int, bin number

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

def smica.component.Fixed.get_thetascore	(		self,
			D
	)

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.Fixed.set_covariance	(		self,
			R,
			bin = None
	)

Set the covariance matrix(ces) (ie the contribution to the covariance of the model).

Parameters
----------
bin : bin number. If None, set all matrices in a three dimensional array.
R: array, shape (ndet, ndet, nbin) or (ndet, ndet).

def smica.component.Fixed.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.

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

• smica/component.py