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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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