Inheritance diagram for __casac__.imagertask.imagertask:

Public Member Functions
def	__init__
def	clean
def	feather
def	invert
def	mosaic
Public Attributes
	this
Static Private Attributes
dictionary	__swig_setmethods__
tuple	__setattr__
dictionary	__swig_getmethods__
tuple	__getattr__
	__repr__
	__swig_destroy__
	__del__

Detailed Description

Proxy of C++ casac::imagertask class

Definition at line 70 of file imagertask.py.

Constructor & Destructor Documentation

def __casac__.imagertask.imagertask.__init__ ( self )

__init__(self) -> imagertask

Definition at line 77 of file imagertask.py.

Member Function Documentation

def __casac__.imagertask.imagertask.clean	(	self,
		args,
		kwargs
	)

clean(self, vis=string("Unknown"), alg=string("clark"), niter=1000, gain=0.1, threshold=0.0, 
    residual=std::vector< string >(1, ""), image=std::vector< string >(1, ""), 
    model=std::vector< string >(1, ""), mask=std::vector< string >(1, ""), mode=string(""), 
    nchan=initialize_vector(1, (int)1), start=initialize_vector(1, (int)1), 
    width=initialize_vector(1, (int)1), step=initialize_vector(1, (int)1), 
    imsize=initialize_vector(2,(int)128, (int)128), cell=initialize_vector(2,(int)1, (int)1), 
    stokes=string("I"), fieldid=initialize_vector(1, (int)1), 
    spwid=initialize_vector(1, (int)1), weighting=string("uniform"), rmode=string("none"), 
    robust=0.0)

Summary
Perform clean operations

Input Parameters:
vis              name of input visibility file (MS) Unknown 
alg              Algorithm to use (clark, hogbom, csclean, csfast). Default is clark. clark 
niter            Number of iterations. Default=1000. 1000 
gain             The minor iteration loop gain. Default is 0.1. 0.1 
threshold        Threshold flux level at which to stop cleaning (in Jy). Default is 0.Jy. 0.0 
residual         name of residual image. Default is model name concatenated with '.residual'. residual 
image            name of restored image. Default is model name concatenated with '.restored'. restored 
model            name of model image. No value. 
mask             name of mask image. No value. 
mode             Type of processing (channel or velocity) 
nchan            With mode, this defines the number of channels for mapping of visibilities to image channels 1 
start            With mode, this defines the starting channel for mapping of visibilities to image channels 1 
width            With mode, this defines the width of channels for mapping of visibilities to image channels 1 
step             With mode, this defines the step of channels for mapping of visibilities to image channels 1 
imsize           The size of the output image (pixels). 128 128 
cell             The image cell size (arcseconds). 1 1 
stokes           Stokes params to image. Default is 'I'. Allowed: I, IV, IQU, IQUV I 
fieldid          Field IDs to include. Default is 1. Allows a vector of available field ids. 1 
spwid            Spectral Window IDs to include. Default is 1. Allows a vector of available spectral window ids. 1 
weighting        Type of weighting (natural, uniform, briggs, radial). Default is uniform. uniform 
rmode            Mode of Briggs weighting ('norm', 'abs', 'none'). Default is 'none'. none 
robust           Parameter in briggs weighting. Range -2.0 to 2.0. Default is 0.0. 0.0 

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Definition at line 84 of file imagertask.py.

def __casac__.imagertask.imagertask.feather	(	self,
		args,
		kwargs
	)

feather(self, vis=string(""), featherimage=string(""), highres=string(""), lowres=string(""), lowpsf=string(""))

Summary
Perform feather operation

Input Parameters:
vis              name of input visibility file (MS) 
featherimage     name of output image 
highres          name of high resolution (interferometer) image 
lowres           name of low resolution (single dish) image 
lowpsf           image of the single dish beam 

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Definition at line 128 of file imagertask.py.

def __casac__.imagertask.imagertask.invert	(	self,
		args,
		kwargs
	)

invert(self, vis=string(""), map=string(""), beam=string(""), mode=string(""), nchan=initialize_vector(1, (int)1), 
    start=initialize_vector(1, (int)1), width=initialize_vector(1, (int)1), 
    step=initialize_vector(1, (int)1), imsize=initialize_vector(2,(int)128, (int)128), 
    cell=initialize_vector(2,(int)1, (int)1), stokes=string("I"), 
    fieldid=initialize_vector(1, (int)1), spwid=initialize_vector(1, (int)1), 
    weighting=string("uniform"), rmode=string("none"), robust=0.0)

Summary
Perform invert operation

Input Parameters:
vis              name of input visibility file (MS) 
map              name of output dirty map (image) 
beam             name of output beam file (image) 
mode             Type of processing (channel or velocity) 
nchan            With mode, this defines the number of channels for mapping of visibilities to image channels 1 
start            With mode, this defines the starting channel for mapping of visibilities to image channels 1 
width            With mode, this defines the width of channels for mapping of visibilities to image channels 1 
step             With mode, this defines the step of channels for mapping of visibilities to image channels 1 
imsize           The size of the output image (pixels). 128 128 
cell             The image cell size (arcseconds). 1 1 
stokes           Stokes params to image. Default is 'I'. Allowed: I, IV, IQU, IQUV I 
fieldid          Field IDs to include. Default is 1. Allows a vector of available field ids. 1 
spwid            Spectral Window IDs to include. Default is 1. Allows a vector of available spectral window ids. 1 
weighting        Type of weighting (natural, uniform, briggs, radial). Default is uniform. uniform 
rmode            Mode of Briggs weighting ('norm', 'abs', 'none'). Default is 'none'. none 
robust           Parameter in briggs weighting. Range -2.0 to 2.0. Default is 0.0. 0.0 

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Definition at line 147 of file imagertask.py.

def __casac__.imagertask.imagertask.mosaic	(	self,
		args,
		kwargs
	)

mosaic(self, vis=string(""), alg=string("mfclark"), niter=1000, gain=0.1, threshold=0.0, residual=std::vector< string >(1, ""), 
    image=std::vector< string >(1, ""), model=std::vector< string >(1, ""), 
    mask=std::vector< string >(1, ""), mode=string(""), 
    gridfn=string("SF"), grid=string("mosaic"), nchan=initialize_vector(1, (int)1), 
    start=initialize_vector(1, (int)1), width=initialize_vector(1, (int)1), 
    step=initialize_vector(1, (int)1), imsize=initialize_vector(2,(int)128, (int)128), 
    cell=initialize_vector(2,(int)1, (int)1), stokes=string("I"), 
    fieldid=initialize_vector(1, (int)1), reffieldid=1, spwid=initialize_vector(1, (int)1), 
    weighting=string("uniform"), mosweight=string("T"), rmode=string("none"), 
    robust=0.0, minpb=0.1, scaletype=string("NONE"), stoplargenegatives=-1, 
    cyclefactor=1.5, cyclespeedup=2.0)

Summary
Perform mosaic operation

Input Parameters:
vis              name of input visibility file (MS) 
alg              Algorithm to use (mfclark,mfhogbom). Default is 'mfclark'. mfclark 
niter            Number of iterations. Default=1000. 1000 
gain             The minor iteration loop gain. Default is 0.1. 0.1 
threshold        Threshold flux level at which to stop cleaning (in Jy). Default is 0.Jy. 0.0 
residual         name of residual image. Default is model name concatenated with '.residual'. residual 
image            name of restored image. Default is model name concatenated with '.restored'. restored 
model            name of model image. No value. 
mask             name of mask image. No value. 
mode             Type of processing (channel or velocity) 
gridfn           Type of gridding function (spheroidal wave, box car, primary beam SF 
grid             Type of gridding mosaic or ft (standard interferometry) mosaic 
nchan            With mode, this defines the number of channels for mapping of visibilities to image channels 1 
start            With mode, this defines the starting channel for mapping of visibilities to image channels 1 
width            With mode, this defines the width of channels for mapping of visibilities to image channels 1 
step             With mode, this defines the step of channels for mapping of visibilities to image channels 1 
imsize           The size of the output image (pixels). 128 128 
cell             The image cell size (arcseconds). 1 1 
stokes           Stokes params to image. Default is 'I'. Allowed: I, IV, IQU, IQUV I 
fieldid          Field IDs to include. Default is 1. Allows a vector of available field ids. 1 
reffieldid       Reference Field IDs to use. Default is 1. 1 
spwid            Spectral Window IDs to include. Default is 1. Allows a vector of available spectral window ids. 1 
weighting        Type of weighting (natural, uniform, briggs, radial). Default is uniform. uniform 
mosweight        Type of weighting used for the mosaic. T means that each field will be weighted individually. T 
rmode            Mode of Briggs weighting ('norm', 'abs', 'none'). Default is 'none'. none 
robust           Parameter in briggs weighting. Range -2.0 to 2.0. Default is 0.0. 0.0 
minpb            Minimum PB level to use. Default is 0.1. 0.1 
scaletype        Image plane flux scale type ('NONE', 'SAULT'). Default is 'NONE'. NONE 
stoplargenegatives       Stop large negatives. Default=-1. -1 
cyclefactor      Cycle factor. Default=1.5. 1.5 
cyclespeedup     Cycle speedup. Default=2. 2.0 

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Definition at line 182 of file imagertask.py.