Briggs' Non-Negative Least Squares deconvolution algorithm. More...

#include <NNLSImageSkyModel.h>

Inheritance diagram for casa::NNLSImageSkyModel:

Public Member Functions
virtual Bool	solve (SkyEquation &me)
	Solve for this SkyModel.
Private Member Functions
Bool	maskedZeroI ()

Detailed Description

Briggs' Non-Negative Least Squares deconvolution algorithm.

Intended use:

Public interface

Prerequisite

ImageSkyModel module

Etymology

NNLSImageSkyModel implements the NNLS deconvolution algorithm. It is derived from ImageSkyModel .

Synopsis

NNLS is implemented using the NNLSMatrixSolver class. Since the brightness must be non-negative, only the Stokes I is solved for. Any other polarizations are not changed.

Two masks are needed: the fluxmask determining the free pixels in the output image, and the datamask determining the constraint pixels in the dirty image.

In the solution, a matrix is required having elements connecting all free pixels with all constraint pixels. This is constructed from the point spread function. The total size of this matrix dominates the memory usage.

Example

See the example for SkyModel .

Motivation

Definition at line 79 of file NNLSImageSkyModel.h.

Member Function Documentation

Bool casa::NNLSImageSkyModel::maskedZeroI ( ) [private]

virtual Bool casa::NNLSImageSkyModel::solve ( SkyEquation & me ) [virtual]

Solve for this SkyModel.

Reimplemented from casa::ImageSkyModel.

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

code/synthesis/MeasurementComponents/NNLSImageSkyModel.h

Public Member Functions

Private Member Functions