Functions | |
def | csvclean |
def csvclean.csvclean | ( | vis = '' , |
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imagename = '' , |
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field = '' , |
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spw = '' , |
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advise = False , |
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mode = 'continuum' , |
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nchan = -1 , |
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width = 1 , |
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imsize = [256 , |
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cell = ['1.0arcsec' , |
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arcsec, | |||
phasecenter = '' , |
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niter = 500 , |
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weighting = 'natural' , |
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restoringbeam = [''] , |
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interactive = False |
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) |
This task does an invert of the visibilities and deconvolve in the image plane. This task does not do a uvdata subtraction (aka Cotton-Schwab major cycle) of model visibility as in clean. - For ALMA Commissioning Keyword arguments: vis -- Name of input visibility file default: none; example: vis='ngc5921.ms' imagename -- Name of output CASA image. (only the prefix) default: none; example: imagename='m2' output images are: m2.image; cleaned and restored image With or without primary beam correction m2dirty.image; dirty image m2psf.image; point-spread function (dirty beam) m2.model; image of clean components m2.mask; image containing clean regions, when interative=True field -- Select fields in mosaic. Use field id(s) or field name(s). ['go listobs' to obtain the list id's or names] default: ''= all fields If field string is a non-negative integer, it is assumed to be a field index otherwise, it is assumed to be a field name field='0~2'; field ids 0,1,2 field='0,4,5~7'; field ids 0,4,5,6,7 field='3C286,3C295'; field named 3C286 and 3C295 field = '3,4C*'; field id 3, all names starting with 4C spw -- Select spectral window/channels NOTE: This selects the data passed as the INPUT to mode default: ''= all spectral windows and channels spw='0~2,4'; spectral windows 0,1,2,4 (all channels) spw='0:5~61'; spw 0, channels 5 to 61 spw='<2'; spectral windows less than 2 (i.e. 0,1) spw='0,10,3:3~45'; spw 0,10 all channels, spw 3, channels 3 to 45. spw='0~2:2~6'; spw 0,1,2 with channels 2 through 6 in each. spw='0:0~10;15~60'; spectral window 0 with channels 0-10,15-60 spw='0:0~10,1:20~30,2:1;2;3'; spw 0, channels 0-10, spw 1, channels 20-30, and spw 2, channels, 1,2 and 3 advise -- This determines whether advice for imsize and cell is requested. If set to True. It won't run clean but return values for imszise and cell estimated for the longest baseline in the data imsize -- Image pixel size (x,y). DOES NOT HAVE TO BE A POWER OF 2 default = [256,256]; example: imsize=[350,350] imsize = 500 is equivalent to [500,500]. Avoid odd-numbered imsize. cell -- Cell size (x,y) default= '1.0arcsec'; example: cell=['0.5arcsec,'0.5arcsec'] or cell=['1arcmin', '1arcmin'] cell = '1arcsec' is equivalent to ['1arcsec','1arcsec'] NOTE:cell = 2.0 => ['2arcsec', '2arcsec'] phasecenter -- direction measure or fieldid for the mosaic center default: '' => first field selected ; example: phasecenter=6 or phasecenter='J2000 19h30m00 -40d00m00' mode -- this determines what kind of image to make continuum or cube. In continuum all the selected data channels are combined in a 1 channel image using multifrequency synthesis. options are 'cube' and 'continuum' default: 'continuum' >>> mode='cube' expandable parameters nchan -- sets the number of channel in the output image. e.g nchan=10 width -- image channel width in terms of the number of channel of the first spw of the data selected e.g width=2 niter -- Maximum number of iterations, if niter=0, then no CLEANing is done ("invert" only) default: 500; example: niter=5000 weighting -- Weighting to apply to visibilities: default='natural'; example: weighting='uniform'; Options: 'natural','uniform','briggs', 'superuniform','briggsabs','radial' restoringbeam -- Output Gaussian restoring beam for CLEAN image [bmaj, bmin, bpa] elliptical Gaussian restoring beam. Default units are in arc-seconds for bmaj and bmin, and in degrees for bpa. Default: restoringbeam=[]; Use PSF calculated from dirty beam. example: restoringbeam=['10arcsec'] or restorinbeam='10arcsec', circular Gaussian. FWHM 10 arcseconds example: restoringbeam=['10.0','5.0','45.0deg'] 10"x5" at 45 degrees interactive -- Create a mask interactively or not. default=False; example: interactive=True The viewer will open with the image displayed. Select the region for the mask and double click in the middle of it.
Definition at line 13 of file csvclean.py.
References task_csvclean.csvclean(), publish_summary.quantity, and vla_uvfits_line_sf.verify.