BIE::GaussTest2D Class Reference

A "user-defined" likelihood function for testing a image object similar to a galaxy image but without any intrisic magnitude. More...

#include <GaussTest2D.h>

Inheritance diagram for BIE::GaussTest2D:

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Collaboration diagram for BIE::GaussTest2D:

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List of all members.

Public Member Functions

GaussTest2D ()

Null constructor.

GaussTest2D (int N0, int Nbins, int Levels)

Constructor with number of points given by.

GaussTest2D (int N0, int Nbins, int Levels, vector< double > *cen0, vector< double > *var0)

Constructor with number of points given by.

GaussTest2D (int N0, int Nbins, int Levels, vector< double > *wght, vector< double > *cen0, vector< double > *var0)

Constructor with number of points given by.

GaussTest2D (int N0, int Nbins, int Levels, vector< double > *wght, vector< double > *cen0, vector< double > *var0, vector< double > *phi0)

Constructor with number of points given by.

void SetDim (int n)

Set the model dimension (currently either 1, 2 or 3).

void SetFix2 (vector< double > *var2)

Two components packed into a single component.

void PrintData ()

Print data to a file for the current level.

double LikeProb (std::vector< double > &z, SampleDistribution *sd, double norm, Tile *t, State *s, int indx)

This is likelihood function.

string ParameterDescription (int i)

Label parameters. Scheduled for removal.

Protected Member Functions

void makeSyntheticData ()

Make the synthetic data.

double LocalLikelihood (State *s)

This is likelihood function.

Friends

class boost::serialization::access

Detailed Description

A "user-defined" likelihood function for testing a image object similar to a galaxy image but without any intrisic magnitude.

The singal-to-noise ratio is determined by the number of points used to define the image. For example, if we define the signal to noise ratio as the counts over the root variance of the counts for the inner half-light, then a signal to noise ratio of 100 would obtain for

$100 = \frac{N/2}{\sqrt{N/2}} = \sqrt(N/2)$

which yields $N=200000$ .

By default, the image "data" is the combination of a single 2-dimensional Gaussian distribution with center at 0.5 and variance of 0.03 in each dimension. The default model may be changed at construction.

The variance may be modeled (dim=2) or fixed (dim=1) and one may include an arbitrary position angle (dim=3) using the SetDim(dim) member. dim=3 implies variable center, variance and position angle.

Finally, two components packed into a single component, in order to keep the centers coincident and fix the shape of the second component. The first component is the relative weight of the two components followed by $x_c$ and $y_c$ if dim=1, $x_c, \sigma_x^2, y_c, \sigma_y^2$ if dim=2 and $x_c, \sigma_x^2, y_c, \sigma_y^2, \phi_1, \phi_2$ if dim=3.

Constructor & Destructor Documentation

BIE::GaussTest2D::GaussTest2D	(	int	N0,
		int	Nbins,
		int	Levels
	)

Constructor with number of points given by.

Parameters:

	N0,number	of bins
	Nbins	partitioned by
	Levels.	If
	Levels	is equal to smaller than 1, a single parition is used.

BIE::GaussTest2D::GaussTest2D	(	int	N0,
		int	Nbins,
		int	Levels,
		vector< double > *	cen0,
		vector< double > *	var0
	)

Constructor with number of points given by.

Parameters:

	N0	and
	Nbins	bins partition by
	Levels.	If
	Levels	is equal to smaller than 1, a single parition is used. Vectors
	cen0,@param	var0, and are the centers and variance values and the rank of these vectors (which must agree) implicitly specifies the dimension.

BIE::GaussTest2D::GaussTest2D	(	int	N0,
		int	Nbins,
		int	Levels,
		vector< double > *	wght,
		vector< double > *	cen0,
		vector< double > *	var0
	)

Constructor with number of points given by.

Parameters:

	N0	and
	Nbins	bins partition by
	Levels.	If
	Levels	is equal to smaller than 1, a single partition is used. Vectors
	cen0	and
	var0	are the centers and variance values and the rank of these vectors (which must agree) implicitly specifies the dimension.
	wght	is a multicomponent weight vector. If dim(wght) > 1, the vectors are assumed to be appended serially.

BIE::GaussTest2D::GaussTest2D	(	int	N0,
		int	Nbins,
		int	Levels,
		vector< double > *	wght,
		vector< double > *	cen0,
		vector< double > *	var0,
		vector< double > *	phi0
	)

Constructor with number of points given by.

Parameters:

	N0	and
	Nbins	bins partition by
	Levels.	If
	Levels	is equal to smaller than 1, a single partition is used. Vectors
	cen0,@param	var0, and
	phi0	are the centers, variance and orientation values and the rank of these vectors (which must agree) implicitly specifies the dimension.
	wght	is a multicomponent weight vector. If dim(wght) > 1, the vectors are assumed to be appended serially.

Member Function Documentation

void BIE::GaussTest2D::SetFix2 ( vector< double > * var2 )

Two components packed into a single component.

The center of the second, "fixed", component is coicident with the first component and the variance of this component is the vector

Parameters:

var2

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

/home/weinberg/src/BIE/include/GaussTest2D.h