simanalyze_pg.simanalyze_pg_ Class Reference

List of all members.

Public Member Functions
def	__init__
def	__call__
Private Attributes
	__bases__
	__doc__
Static Private Attributes
string	__name__

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Detailed Description

Definition at line 18 of file simanalyze_pg.py.

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Constructor & Destructor Documentation

def simanalyze_pg.simanalyze_pg_.__init__

(

self

)

Definition at line 21 of file simanalyze_pg.py.

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Member Function Documentation

def simanalyze_pg.simanalyze_pg_.__call__	(		self,
			project = None,
			image = None,
			imagename = None,
			vis = None,
			modelimage = None,
			cell = None,
			imsize = None,
			imdirection = None,
			niter = None,
			threshold = None,
			weighting = None,
			mask = None,
			outertaper = None,
			stokes = None,
			analyze = None,
			showuv = None,
			showpsf = None,
			showmodel = None,
			showconvolved = None,
			showclean = None,
			showresidual = None,
			showdifference = None,
			showfidelity = None,
			graphics = None,
			verbose = None,
			overwrite = None,
			async = None
	)

image and analyze simulated datasets

    This task is for imaging and analyzing datasets created with 
    simobserve or simalma.  New functionality is actively 
    being added, so if you have changed versions of CASA, check 
    the inputs carefully.
    More information and examples are availible at 
     http://casaguides.nrao.edu/index.php?title=Simulating_Observations_in_CASA
    Please contact CASA experts with any questions.
    -------------------------------
    project -- root filename for all output files.
       must be the same as used when simulating the observation.
       in particular $project/$project.skymodel will be required
       to compare output and input images.
    image -- invert and deconvolve the measurement set(s)
       * NOTE: interactive clean or more parameters than the subset visible
 here are available by simply running the clean task directly, 
 then returning to simanalyze to run "analyze" if desired.
       * NOTE: the channelization of the output image cube will be the 
 same as that in the simulated Measurement Set.
       * if graphics turned on, display the clean image and residual image
       * uses Cotton-Schwab clean for single fields and Mosaic gridding
 for multiple fields (with Clark PSF calculation in minor cycles).
    vis -- the simulated interferometric MS, or total-power one, or both
       * one can use '$project' to let the task automatically replace it to
 the project name, e.g., vis='$project.noisy.ms,$project.noisy.sd.ms'.
 However, note that if you created measurement set(s) using simobserve,
 they will have names including the configuration, e.g. 
 $project.alma_out20.noisy.ms
       * setting this paramter to "default" will find and attempt to image
 all measurement sets (interferometric and single dish) in the 
 project directory
    modelimage -- prior (e.g. SD) image to be used in clean
    cell -- cell size e.g '10arcsec'.  "" defaults to the skymodel cell
    imsize -- image size in spatial pixels (x,y)
       0 or -1 will use the model image size; example: imsize=[500,500]
    imdirection -- phase center for synthesized image.  default is to 
       center on the sky model.
    niter -- number of clean/deconvolution iterations, 0 for no cleaning
    threshold -- flux level to stop cleaning
    weighting -- weighting to apply to visibilities
       options: 'natural','uniform','briggs' (robust=0.5)
    mask -- Specification of cleanbox(es), mask image(s), primary beam
       coverage level, and/or region(s) to be used for CLEANing.
       CLEAN tends to perform better, and is less likely to diverge, if 
       the CLEAN component placement is limited by a mask to where real 
       emission is expected to be.  e.g. pixel ranges mask=[110,110,150,145],
       filename of mask image mask='myimage.mask', or a file with mask 
       regions --  see help for the clean task.
    outertaper -- apply additional uv outer taper of visibilities
    stokes -- Stokes parameters to image; 'I','IV','IQU','IQUV'
    -------------------------------
    analyze -- compute and display difference between model and output, 
 fidelity, etc. 
    showuv -- display uv coverage
    showpsf -- display synthesized (dirty) beam (ignored in single dish simulation)
    showmodel -- display sky model at original resolution
    showconvolved -- display sky model convolved with output beam 
    showclean -- display the synthesized image
    showresidual -- display the clean residual image (ignored in single dish simulation)
    showdifference -- display difference between output cleaned image and 
 input model sky image convolved with output clean beam
    showfidelity -- display fidelity image
 fidelity = abs(input) / max[ abs(input-output), 0.7*rms(output) ]
    
    graphics -- view plots on the screen, saved to file, both, or neither
    verbose -- print extra information to the logger and terminal
    overwrite -- overwrite existing files in the project subdirectory

    Note that the RMS is calculated in the lower quarter of the image.  
 This is likely not the best choice, so you are encouraged to 
 measure RMS yourself in an off-source region using the viewer.


    -------------------------------
    Output produced: (not all will always exist, depending on input parameters)
    To support different runs with different arrays, the names have the
    configuration name from antennalist appended.
    -------------------------------
    project.[cfg].skymodel.flat.regrid.conv = input sky regridded to match 
 the output image, and convolved with the output clean beam

    project.[cfg].image = synthesized image
    project.[cfg].flux.pbcoverage = primary beam correction for mosaic image
    project.[cfg].residual = residual image after cleaning
    project.[cfg].clean.last = parameter file of what parameters were used in
  the clean task
    project.[cfg].psf = synthesized (dirty) beam calculated from weighted uv 
  distribution
    project.[cfg].image.png = diagnostic figure of clean image and residual
    
    project.[cfg].fidelity = fidelity image
    project.[cfg].analysis.png = diagnostic figure of difference and fidelity
    
    project.[cfg].simanalyze.last = saved input parameters for simanalyze task

Definition at line 26 of file simanalyze_pg.py.

References vla_uvfits_line_sf.verify.

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Member Data Documentation

simanalyze_pg.simanalyze_pg_.__bases__ [private]

Definition at line 22 of file simanalyze_pg.py.

simanalyze_pg.simanalyze_pg_.__doc__ [private]

Definition at line 23 of file simanalyze_pg.py.

string simanalyze_pg.simanalyze_pg_.__name__ [static, private]

Definition at line 19 of file simanalyze_pg.py.

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

• simanalyze_pg.py