smica.component.Source1D Class Reference

Source1D. More...

Inheritance diagram for smica.component.Source1D:

Public Member Functions
def	__init__
def	get_dim
def	set_theta
def	get_theta
def	get_thetascore
def	get_thetaroot
def	get_thetaroot_local
def	get_thetafim
def	close_form
Public Member Functions inherited from smica.component.Source
def	is_astro
def	set_dim
def	__init__
def	set_mixmat
def	fix_mixmat
def	set_powspec
def	fix_powspec
def	mixmat
def	powspec
def	autopowspec
def	covariance
def	score_mixmat
def	score_powspec
def	plot_mixmat
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

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

Detailed Description

Source1D.

---

A one dimensional source component.

The mixing matrix is a column vector (ndet, 1) and power
spectrum is described by a vector (1, nbin).

Constructor & Destructor Documentation

def smica.component.Source1D.__init__	(		self,
			ndet,
			nbin,
			name = None
	)

Initialize component parameters arrays.

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

Member Function Documentation

def smica.component.Source1D.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.Source1D.get_dim

(

self)

Return the number of free parameters of the component.

def smica.component.Source1D.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.Source1D.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.Source1D.get_thetaroot	(		self,
			iRr,
			bin = 0
	)

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

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

def smica.component.Source1D.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

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.Source1D.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.Source1D.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