casa
5.7.0-16
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A Class for performing the Clark Clean Algorithm on Arrays. More...
#include <ClarkCleanModel.h>
Public Member Functions | |
ClarkCleanModel () | |
The default constructor does nothing more than initialise a zero length array to hold the deconvolved model. More... | |
ClarkCleanModel (casacore::Array< casacore::Float > &model) | |
Construct the ClarkCleanModel object and initialise the model. More... | |
ClarkCleanModel (casacore::Array< casacore::Float > &model, casacore::Array< casacore::Float > &mask) | |
Construct the ClarkCleanModel object and initialise the model ans mask. More... | |
void | getMask (casacore::Array< casacore::Float > &mask) const |
void | setMask (const casacore::Array< casacore::Float > &mask) |
void | setMask (casacore::Array< casacore::Float > &mask) |
void | getModel (casacore::Array< casacore::Float > &model) const |
void | setModel (const casacore::Array< casacore::Float > &model) |
Set the current model. More... | |
void | setModel (casacore::Array< casacore::Float > &model) |
virtual void | setProgress (ClarkCleanProgress &ccp) |
Set/get the progress display. More... | |
virtual ClarkCleanProgress & | getProgress () |
casacore::Bool | solve (ConvolutionEquation &eqn) |
Using a Clark clean deconvolution proceedure solve for an improved estimate of the deconvolved object. More... | |
casacore::Bool | singleSolve (ConvolutionEquation &eqn, casacore::Array< casacore::Float > &residual) |
virtual void | setPsfPatchSize (const casacore::IPosition &psfPatchSize) |
These functions set various "knobs" that the user can tweak and are specific to the Clark clean algorithm. More... | |
virtual casacore::IPosition | getPsfPatchSize () |
virtual void | setHistLength (const casacore::uInt HistBins) |
Set the size of the histogram used to determine how many pixels are "active" in a minor iteration. More... | |
virtual casacore::uInt | getHistLength () |
virtual void | setMaxNumberMinorIterations (const casacore::uInt maxNumMinorIterations) |
Set the maximum number of minor iterations to perform for each major cycle. More... | |
virtual casacore::uInt | getMaxNumberMinorIterations () |
virtual void | setInitialNumberIterations (const casacore::uInt initialNumberIterations) |
Set and get the initial number of iterations. More... | |
virtual casacore::uInt | getInitialNumberIterations () |
virtual void | setMaxNumberMajorCycles (const casacore::uInt maxNumMajorCycles) |
Set the maximum number of major cycles to perform. More... | |
virtual casacore::uInt | getMaxNumberMajorCycles () |
virtual void | setMaxNumPix (const casacore::uInt maxNumPix) |
Set the maximum number of active pixels to use in the minor iterations. More... | |
virtual casacore::uInt | getMaxNumPix () |
virtual void | setMaxExtPsf (const casacore::Float maxExtPsf) |
Set the maximum exterior psf value. More... | |
virtual casacore::Float | getMaxExtPsf () |
virtual void | setSpeedup (const casacore::Float speedup) |
An exponent on the F(m,n) factor (see Clark[1980]) which influences how quickly active pixels are treated as unreliable. More... | |
virtual casacore::Float | getSpeedup () |
virtual void | setCycleSpeedup (const casacore::Float speedup) |
The structure of various AIPS++ algorithms creates major cycles around the Clark Clean (or other deconvolution algrithms. More... | |
virtual casacore::Float | getCycleSpeedup () |
virtual casacore::Float | threshold () |
We are overwriting Iterate's threshold() method to put out speedup in it. More... | |
virtual void | setChoose (const casacore::Bool askForChoice) |
The user can be asked whether to stop after every minor cycle. More... | |
virtual casacore::Bool | getChoose () |
casacore::Float | getMaxResidual () |
Public Member Functions inherited from casa::ArrayModel< casacore::Float > | |
ArrayModel () | |
ArrayModel (const casacore::Array< casacore::Float > &model) | |
ArrayModel (casacore::Array< casacore::Float > &model) | |
virtual const casacore::Array < casacore::Float > & | getModel () const |
Return the current model. More... | |
Public Member Functions inherited from casa::LinearModel< casacore::Array< casacore::Float > > | |
virtual | ~LinearModel () |
A virtual destructor is necessary. More... | |
Public Member Functions inherited from casa::Iterate | |
Iterate () | |
Constructor. More... | |
virtual | ~Iterate () |
void | setFree () |
Is this a free variable? More... | |
void | setNotFree () |
casacore::Bool | free () |
void | setNumberIterations (const casacore::Int n) |
void | setGain (const casacore::Float g) |
void | setTolerance (const casacore::Float t) |
void | setThreshold (const casacore::Float t) |
void | setMode (const casacore::String m) |
casacore::Int | numberIterations () |
casacore::Float | gain () |
casacore::Float | tolerance () |
const casacore::String | mode () |
Additional Inherited Members | |
Protected Attributes inherited from casa::ArrayModel< casacore::Float > | |
casacore::Array< casacore::Float > | theModel |
A Class for performing the Clark Clean Algorithm on Arrays.
Public interface
This class is called ClarkCleanModel because thats the algorithm it uses deconvolve the model.
This class is used to perform the Clark Clean Algorithm on an Array. Only the deconvolved model of the sky are directly stored by this class. The point spread function (psf) and convolved (dirty) image are stored in a companion class which is must be derived from ResidualEquation.
The cleaning works like this. The user constructs a ClarkCleanModel by specifying an initial model of the sky. This can by be one,two,three... dimensional depending on the dimension of the psf (see below). The user then constructs a class which implements the forward equation between the model and the dirty image. Typically this will be the ConvolutionEquation class, although any class which has a ResidualEquation interface will be work (but perhaps very slowly, as the ConvolutionEquation class has member functions optimised for cleaning)
The user then calls the solve() function (with the appropriate equation class as an arguement), and this class will perform the Clark clean. The various clean parameters are set (prior to calling solve) using the functions derived from the Iterate class, in particular setGain(), setNumberIterations() & setThreshold() (to set a flux limit).
The solve() function does not return either the deconvolved model or the residuals. The solved model can be obtained using the getModel() function (derived from ArrayModel()) and the residual can be obtained using the residual() member function of the Convolution/Residual Equation Class.
The size and shape of the model used in this class MUST be the same as the convolved data (Dirty Image), stored in the companion ResidualEquation Class. However the model (and convolved data) can have more dimensions than the psf, as well as a different size (either larger or smaller). When the dimensionality is different the cleaning is done independendtly in each "plane" of the model. (Note this has not been implemented yet but is relatively simple to do if necessary).
This multi-dimensionalty is exploited when cleaning arrays of StokesVectors. Here the casacore::Array of StokesVectors is decomposed into a stack of 4 Floating point arrays and the cleaning is done on all the the arrays simultaneosly. The criterion for choosing the brightest pixel has been generalised by using the "length" of the Stokesvector in 4 dimensional space.
A companion class to this one is MaskedClarkCleanModel. This provides the same functionality but is used with MaskedArrays which indicate which regions of the model to search for clean components.
This class is needed to deconvolve images.
have tested this class with Arrays of Float StokesVector
Definition at line 146 of file ClarkCleanModel.h.
casa::ClarkCleanModel::ClarkCleanModel | ( | ) |
The default constructor does nothing more than initialise a zero length array to hold the deconvolved model.
If this constructor is used then the actual model must be set using the setModel() function of the ArrayModel class.
casa::ClarkCleanModel::ClarkCleanModel | ( | casacore::Array< casacore::Float > & | model | ) |
Construct the ClarkCleanModel object and initialise the model.
casa::ClarkCleanModel::ClarkCleanModel | ( | casacore::Array< casacore::Float > & | model, |
casacore::Array< casacore::Float > & | mask | ||
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Construct the ClarkCleanModel object and initialise the model ans mask.
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make histogram of absolute values in array
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Determine the flux limit if we only select the maxNumPix biggest residuals.
Flux limit is not exact due to quantising by the histogram
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Find all the pixels in the residual that are greater than fluxlimit, and store the values in the pixelsValue casacore::Matrix, and their positions in the pixelPos Matrix.
Increases the size of the output matrices as necessary, but does not decrease them. So the actual number of "active" pixels is returned. This will always be less than (or equal to) the matrix size.
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Do all the minor iterations for one major cycle.
Cleaning stops when the flux or iteration limit is reached.
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void casa::ClarkCleanModel::getMask | ( | casacore::Array< casacore::Float > & | mask | ) | const |
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Definition at line 243 of file ClarkCleanModel.h.
References itsMaxRes.
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Reimplemented from casa::ArrayModel< casacore::Float >.
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Definition at line 172 of file ClarkCleanModel.h.
References itsProgressPtr.
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Work out the size of the Psf patch to use.
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The maximum residual is the absolute maximum.
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The user can be asked whether to stop after every minor cycle.
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The structure of various AIPS++ algorithms creates major cycles around the Clark Clean (or other deconvolution algrithms.
The cycleSpeedup parameter causes the threshold to edge up as thresh = thresh_0 * 2^(iter/cycleSpeedup); ignored if cycleSpeedup <= 0.
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Set the size of the histogram used to determine how many pixels are "active" in a minor iteration.
Default value is 1000 is OK for everything except very small cleans.
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Set and get the initial number of iterations.
void casa::ClarkCleanModel::setMask | ( | const casacore::Array< casacore::Float > & | mask | ) |
void casa::ClarkCleanModel::setMask | ( | casacore::Array< casacore::Float > & | mask | ) |
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Set the maximum exterior psf value.
This is used to determine when to stop the minor itartions. This is normally determined from the psf and the number set here is only used if this cannot be determined. The default is zero.
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Set the maximum number of major cycles to perform.
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Set the maximum number of minor iterations to perform for each major cycle.
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Set the maximum number of active pixels to use in the minor iterations.
The specified number can be exceeded if the topmost bin of the histogram contains more pixels than specified here. The default is 10,000 which is suitable for images of 512by512 pixels. Reduce this for smaller images and increase it for larger ones.
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Set the current model.
Reimplemented from casa::ArrayModel< casacore::Float >.
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Reimplemented from casa::ArrayModel< casacore::Float >.
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Set/get the progress display.
Definition at line 171 of file ClarkCleanModel.h.
References itsProgressPtr.
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These functions set various "knobs" that the user can tweak and are specific to the Clark clean algorithm.
The more generic parameters ie. clean gain, and maximum residual fluxlimit, are set using functions in the Iterate base class. The get functions return the value that was actually used after the cleaning was done.
set the size of the PSF used in the minor iterations. If not set it defaults to the largest useful Psf (ie. min(modelSize*2, psfSize))
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An exponent on the F(m,n) factor (see Clark[1980]) which influences how quickly active pixels are treated as unreliable.
Larger values mean more major iterations. The default is zero. I have no experience on when to use this factor.
casacore::Bool casa::ClarkCleanModel::singleSolve | ( | ConvolutionEquation & | eqn, |
casacore::Array< casacore::Float > & | residual | ||
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casacore::Bool casa::ClarkCleanModel::solve | ( | ConvolutionEquation & | eqn | ) |
Using a Clark clean deconvolution proceedure solve for an improved estimate of the deconvolved object.
The convolution/residual equation contains the psf and dirty image. When called with a ResidualEquation arguement a quite general interface is used that is slow. The convolution equation contains functions that speed things up. The functions return false if the deconvolution could not be done.
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We are overwriting Iterate's threshold() method to put out speedup in it.
Reimplemented from casa::Iterate.
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Definition at line 304 of file ClarkCleanModel.h.
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Definition at line 306 of file ClarkCleanModel.h.
Referenced by getMaxResidual().
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Definition at line 303 of file ClarkCleanModel.h.
Referenced by getProgress(), and setProgress().
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Definition at line 295 of file ClarkCleanModel.h.
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Definition at line 294 of file ClarkCleanModel.h.
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Definition at line 286 of file ClarkCleanModel.h.
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Definition at line 289 of file ClarkCleanModel.h.
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There are too many iterations counters.
This one is required for theCycleSpeedup and threshold(), and just keeps track of the total iterations done by THIS ClarkCleanModel
Definition at line 302 of file ClarkCleanModel.h.
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Definition at line 297 of file ClarkCleanModel.h.
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Definition at line 296 of file ClarkCleanModel.h.
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Definition at line 287 of file ClarkCleanModel.h.
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Definition at line 290 of file ClarkCleanModel.h.
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Definition at line 288 of file ClarkCleanModel.h.
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Definition at line 291 of file ClarkCleanModel.h.
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Definition at line 292 of file ClarkCleanModel.h.
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Definition at line 293 of file ClarkCleanModel.h.