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autoclean_pg.autoclean_pg_ Class Reference

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def __init__
def __call__

Private Attributes

 __bases__
 __doc__

Static Private Attributes

string __name__

Detailed Description

Definition at line 18 of file autoclean_pg.py.


Constructor & Destructor Documentation

Definition at line 21 of file autoclean_pg.py.


Member Function Documentation

def autoclean_pg.autoclean_pg_.__call__ (   self,
  vis = None,
  imagename = None,
  field = None,
  spw = None,
  selectdata = None,
  timerange = None,
  uvrange = None,
  antenna = None,
  scan = None,
  mode = None,
  nchan = None,
  start = None,
  width = None,
  interpolation = None,
  doconcat = None,
  psfmode = None,
  imagermode = None,
  cyclefactor = None,
  cyclespeedup = None,
  imsize = None,
  cell = None,
  phasecenter = None,
  restfreq = None,
  stokes = None,
  weighting = None,
  robust = None,
  noise = None,
  npixels = None,
  interactive = None,
  mask = None,
  modelimage = None,
  uvtaper = None,
  outertaper = None,
  innertaper = None,
  niter = None,
  npercycle = None,
  npercycle_speedup = None,
  gain = None,
  pbcor = None,
  minpb = None,
  clean_threshold = None,
  Nrms = None,
  eps_maxres = None,
  useabsresid = None,
  allow_maxres_inc = None,
  island_rms = None,
  diag = None,
  peak_rms = None,
  gain_threshold = None,
  Npeak = None,
  shape = None,
  boxstretch = None,
  irregsize = None,
  async = None 
)
CLEAN an image with automatically-chosen clean regions.
       This is a wrapper for clean which includes automatic clean boxing.
       Current capabilities include:
 
1)  Multi-frequency-continuum images or spectral channel imaging
2)  Stokes I imaging only
3)  Use starting mask
 
 
       vis -- Name of input visibility file
       default: none; example: vis='ngc5921.ms'
       imagename -- Pre-name of output images:
       default: none; example: imagename='m2'
       output images are:
 m2.image; cleaned and restored image
        With or without primary beam correction
 m2.psf; point-spread function (dirty beam)
 m2.flux;  relative sky sensitivity over field
 m2.mask;  total clean regions
 m2.model; image of clean components
 m2.residual; image of residuals
       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
       selectdata -- Other data selection parameters
       default: True

  >>> selectdata=True expandable parameters
       See help par.selectdata for more on these

       timerange  -- Select data based on time range:
   default: '' (all); examples,
   timerange = 'YYYY/MM/DD/hh:mm:ss~YYYY/MM/DD/hh:mm:ss'
   Note: if YYYY/MM/DD is missing date defaults to first 
         day in data set
   timerange='09:14:0~09:54:0' picks 40 min on first day
   timerange='25:00:00~27:30:00' picks 1 hr to 3 hr 
             30min on NEXT day
   timerange='09:44:00' pick data within one integration 
             of time
   timerange='>10:24:00' data after this time
       uvrange -- Select data within uvrange (default units meters)
   default: '' (all); example:
   uvrange='0~1000klambda'; uvrange from 0-1000 kilo-lambda
   uvrange='>4klambda';uvranges greater than 4 kilo lambda
       antenna -- Select data based on antenna/baseline
   default: '' (all)
   If antenna string is a non-negative integer, it is 
   assumed to be an antenna index, otherwise, it is
   considered an antenna name.
   antenna='5&6'; baseline between antenna index 5 and 
                 index 6.
   antenna='VA05&VA06'; baseline between VLA antenna 5 
                       and 6.
   antenna='5&6;7&8'; baselines 5-6 and 7-8
   antenna='5'; all baselines with antenna index 5
   antenna='05'; all baselines with antenna number 05 
                (VLA old name)
   antenna='5,6,9'; all baselines with antennas 5,6,9 
                   index numbers
      scan -- Scan number range.
  default: '' (all)
  example: scan='1~5'
  Check 'go listobs' to insure the scan numbers are in 
        order.
       mode -- Frequency Specification:
       NOTE: Channels deselected with spw parameter will contain all
     zeros. 
       See examples below.
       default: 'mfs'
 mode = 'mfs' means produce one image from all 
      specified data.
 mode = 'channel'; Use with nchan, start, width to specify
         output image cube.  See examples below
 mode = 'velocity', means channels are specified in 
      velocity.
 mode = 'frequency', means channels are specified in 
      frequency.

  >>> mode expandable parameters (for modes other than 'mfs')
       Start, width are given in units of channels, frequency 
  or velocity as indicated by mode (note: only nearest neighbour 
  interpolation is available at this time).
       nchan -- Number of channels (planes) in output image
 default: 1; example: nchan=3
       start -- Start input channel (relative-0)
 default=0; example: start=5
       width -- Output channel width in units of the input
     channel width (>1 indicates channel averaging)
 default=1; example: width=4
       interpolation -- Interpolation type of spectral data when gridded on
     the uv-plane
 default = 'linear'
       doconcat -- Tells autoclean to concatenate multiple channel images into
     single image at the end of its run.  (Autoclean makes an image
     for each channel, and cleans/boxes them one at a time.)
 default = 'True'
   examples:
       spw = '0,1'; mode = 'mfs'
  will produce one image made from all channels in spw 
       0 and 1
       spw='0:5~28^2'; mode = 'mfs'
  will produce one image made with channels 
       (5,7,9,...,25,27)
       spw = '0'; mode = 'channel': nchan=3; start=5; width=4
  will produce an image with 3 output planes
  plane 1 contains data from channels (5+6+7+8)
  plane 2 contains data from channels (9+10+11+12)
  plane 3 contains data from channels (13+14+15+16)
       spw = '0:0~63^3'; mode='channel'; nchan=21; start = 0; 
   width = 1
  will produce an image with 20 output planes
  Plane 1 contains data from channel 0
  Plane 2 contains date from channel 2
  Plane 21 contains data from channel 61
       spw = '0:0~40^2'; mode = 'channel'; nchan = 3; start = 
   5; width = 4
  will produce an image with three output planes
  plane 1 contains channels (5,7)
  plane 2 contains channels (13,15)
  plane 3 contains channels (21,23)

       psfmode -- method of PSF calculation to use during minor cycles:
       default: 'clark': Options: 'clark','clarkstokes', 'hogbom'
       'clark'  use smaller beam (faster, usually good enough);
for stokes images clean components peaks are searched in the I^2+Q^2+U^2+V^2 domain 
       'clarkstokes' locate clean components independently in each stokes image
       'hogbom' full-width of image (slower, better for poor 
       uv-coverage)
       Note:  psfmode will be used to clean is imagermode = ''
       imagermode -- Advanced imaging e.g mosaic or Cotton-Schwab clean
       default: imagermode='': Options: '', 'csclean'
       default ''  => psfmode cleaning algorithm used

  >>> imagermode='csclean' expandable parameter(s): 
    Image using the Cotton-Schwab algorithm in between major cycles
    cyclefactor -- Change the threshold at which
          the deconvolution cycle will stop, degrid
          and subtract from the visibilities.  For
          poor PSFs, reconcile often (cyclefactor=4 or
          5); For good PSFs, use cyclefactor 1.5 to
          2.0. Note: threshold = cyclefactor * max
          sidelobe * max residual.
          default: 1.5; example: cyclefactor=4
    cyclespeedup -- Cycle threshold doubles in this
          number of iterations default: -1;
          example: cyclespeedup=3
          try cyclespeedup = 50 to speed up cleaning 
     
       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'
       restfreq -- Specify rest frequency to use for output image
       default='' Occasionally it is necessary to set this (for
       example some VLA spectral line data).  For example for
       NH_3 (1,1) put restfreq='23.694496GHz'
       stokes -- Stokes parameters to image
       default='I'; example: stokes='IQUV';
       Options: 'I','IV''QU','IQUV','RR','LL','XX','YY','RRLL','XXYY'

       weighting -- Weighting to apply to visibilities:
       default='natural'; example: weighting='uniform';
       Options: 'natural','uniform','briggs', 
       'superuniform','briggsabs','radial'

  >>> Weighting expandable parameters
       For weighting='briggs' and 'briggsabs'
   robust -- Brigg's robustness parameter
   default=0.0; example: robust=0.5;
   Options: -2.0 to 2.0; -2 (uniform)/+2 (natural)
       For weighting='briggsabs'
   noise   -- noise parameter to use for Briggs "abs" 
   weighting
   example noise='1.0mJy'
       npixels -- uv-cell area used for weight calculation
   example npixels=1
   Default = 0
   superuniform:  0 Means 3x3 cells for weighting
     the cell weight is proportional to the weight of
     the 3x3 cells centered on it.
   superuniform = F means 1x1 cell for averaging weights.
   briggs/briggsabs: 0 is similar to 1x1 cell weight.
     1 may? be similar to 3X3 cells.
   Only npixels 0 or 1 recommended
   
       mask -- Initial specification of cleanbox(es), mask image(s), and/or
   region(s) to be used for CLEANing.  For channel data (image cubes),
   any initial mask will be applied to every channel. mask default: 
   [] (no masking); Possible specification types: (a) Explicit
   cleanbox pixel ranges example: mask=[110,110,150,145] clean
   region with blc=110,100; trc=150,145 (pixel values) (b)
   Filename with cleanbox pixel values with ascii format:
   example: mask='mycleanbox.txt' <fieldid blc-x blc-y
   trc-x trc-y> on each line 
   1 45 66 123 124 
   2 23 100 300 340
   (c) Filename for image mask example: mask='myimage.mask'
   (d) Filename for region specification (e.g. from viewer)
   example: mask='myregion.rgn' (e) Combinations of any of the
   above example: mask=[[110,110,150,145],'mycleanbox.txt',
   'myimage.mask','myregion.rgn']
   If include outlier fields, then mask need to be spefied in
   nested lists: e.g. mask=[[[110,110,150,145],'myimage.mask'],[],[20,20,40,40]]
   (A clean box with [110,110,150,145] and a image mask for main field, 
    no mask for 1st outlier field, 1 clean box for second outlier field.)
       modelimage -- Name of model image(s) to initialize cleaning. If
       multiple images, then these will be added together to
       form initial starting model NOTE: these are in addition
       to any initial model in the <imagename>.model image file
       default: '' (none); example: modelimage='orion.model'
       modelimage=['orion.model','sdorion.image'] Note: if the
       units in the image are Jy/beam as in a single-dish
       image, then it will be converted to Jy/pixel as in a
       model image, using the restoring beam in the image
       header
  >>> uvtaper=True expandable parameters
       outertaper -- uv-taper on outer baselines in uv-plane
 [bmaj, bmin, bpa] taper Gaussian scale in uv or 
 angular units. NOTE: uv taper in (klambda) is roughly on-sky 
 FWHM(arcsec/200)
 default: outertaper=[]; no outer taper applied
 example: outertaper=['5klambda']  circular taper 
                FWHM=5 kilo-lambda
         outertaper=['5klambda','3klambda','45.0deg']
         outertaper=['10arcsec'] on-sky FWHM 10"
         outertaper=['300.0'] default units are meters 
                in aperture plane
       innertaper -- uv-taper in center of uv-plane
 [bmaj,bmin,bpa] Gaussian scale at which taper falls to 
 zero at uv=0
 default: innertaper=[]; no inner taper applied
 NOT YET IMPLEMENTED                
       niter -- Maximum number iterations over all clean iterations.
       default: 500;  example: niter=5000
       npercycle -- Number of clean minor cycles before making new clean region
   selection. 
   default: 100;  example: npercycle = 100
       npercycle_speedup: If no new clean regions found during an iteration of
   clean region selections, increase npercycle by this factor.
   (Npercycle returns to initial value if new clean regions are later
    found.)
   default: 1.5;  example: npercycle_speedup = 2
       gain -- Loop gain for CLEANing
       default: 0.1; example: gain=0.5
       pbcor -- Output primary beam-corrected image 
      default: pbcor=False; output un-corrected image 
      example: pbcor=True; output pb-corrected image (masked outside
       minpb) Note: if you set pbcor=False, you can later
       recover the pbcor image by dividing by the .flux image
       (e.g. using immath)
       minpb -- Minimum PB level to use default=0.1;
       The flux image is used to determine this
       except for the case of mosaic with ft='mosaic'
       where the flux.pbcoverage image is used.
       example:
       minpb=0.01 Note: this minpb is always in effect
       (regardless of pbcor=True/False) 
       clean_threshold -- Flux level at which to stop CLEANing
       default: '0.0mJy'; 
       example: threshold='2.3mJy'  (always include units)
        threshold = '0.0023Jy'
        threshold = '0.0023Jy/beam' (okay also)
       Nrms -- Stop cleaning when maximum residual is below this value times
   the current rms (outside the current clean regions).
   default: 6
   example: Nrms=4
       eps_maxres -- Convergence parameter to stop cleaning: stop if maximum
   residual has changed by less than a factor of eps_maxres.
   default: 0.01  (one per cent change)
   example: eps_maxres = 0.05
       allow_maxres_inc -- Parameter to stop cleaning: stop if maximum residual
   has increased between clean iterations this number of times.
   default: 3
   example: allow_maxres_inc = 2
       island_rms: threshold (this value times current rms) at which to box the
   residual image when searching for new clean regions
   default: 4
   example:  island_rms = 3
       diag: T/F switch to declare if pixels connected on the diagonal belong
   to the same island, when selecting pixels for clean boxing
   default: False
   example: diag = True
       peak_rms: threshold (this value times current rms) for peak pixel flux
   to qualify an island for clean boxing
   default: 6
   example: peak_rms = 5
       gain_threshold: threshold (this value times current maximum residual) of
   peak pixel in island to qualify island for clean boxing. 
   default: 0.1
   example: gain_threshold = 0.5
       Npeak: maximum number of new clean regions to add each iteration
   default: 3
   example: Npeak = 5
       shape: parameter to determine shape of clean regions. 
   0: all circles
   1: all boxes
   2: choose according to island shape (circles if island has similar
   dimension in x and y direction, box otherwise)
   default: 1  
   example: shape=2
       boxstretch: number of pixels to increase outward size of clean region,
   can range from -1 to 5. 
   default: 1
   example: boxstretch = 3
       irregsize: for islands this large (dimension in pixels) or larger, fill
   in mask with island's actual shape rather than using a box or
   circle.  Set to 0 to ignore this parameter.
   default: 100
   example: irregsize = 50

Definition at line 26 of file autoclean_pg.py.

References publish_summary.quantity, and vla_uvfits_line_sf.verify.


Member Data Documentation

Definition at line 22 of file autoclean_pg.py.

Definition at line 23 of file autoclean_pg.py.

string autoclean_pg.autoclean_pg_.__name__ [static, private]

Definition at line 19 of file autoclean_pg.py.


The documentation for this class was generated from the following file: