3.1.2.0 deconvolver.clarkclean

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deconvolver.clarkclean - Function

3.1.2 Make a clean image using the Clark Clean a threshold

Description

In the Clark Clean algorithm, the cleaning is split into minor and major cycles. In the minor cycles only the brightest points are cleaned, using a subset of the point spread function. In the major cycle, the points thus found are subtracted correctly by using an FFT-based convolution.

Arguments


Inputs
niter	Number of iterations
	allowed:	int
	Default:	1000
gain	Loop Gain for CLEANing
	allowed:	double
	Default:	0.1
threshold	Flux level at which to stop CLEANing
	allowed:	any
	Default:	variant 0Jy
displayprogress	Display the progress of the cleaning?
	allowed:	bool
	Default:	false
model	Name of images
	allowed:	string
	Default:
mask	Name of mask images used for CLEANing
	allowed:	string
	Default:
histbins	Number of bins in the pixel-flux histogram
	allowed:	int
	Default:	500
psfpatchsize	Size of PSF for minor cycle
	allowed:	intArray
	Default:	51 51
maxextpsf	maximum external sidelobe, used to set depth of minor cycle clean
	allowed:	double
	Default:	0.2
speedup	Cleaning speedup exponent
	allowed:	double
	Default:	0.0
maxnumpix	Maximum number of pixels used in each minor cycle
	allowed:	int
	Default:	10000
maxnummajcycles	Max number of major cycles; -1 = no restrictions
	allowed:	int
	Default:	-1
maxnumminoriter	Max number of minor iterations; -1 = no restrictions
	allowed:	int
	Default:	-1

Returns
bool
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