casa  $Rev:20696$
 All Classes Namespaces Files Functions Variables
Functions
hanningsmooth Namespace Reference

Functions

def hanningsmooth

Function Documentation

def hanningsmooth.hanningsmooth (   vis = '',
  datacolumn = 'all',
  outputvis = '' 
)
Hanning smooth frequency channel data to remove Gibbs ringing

    This function Hanning smoothes the frequency channels with
    a weighted running average. The weights are 0.5 for the central 
    channel and 0.25 for each of the two adjacent channels. The first 
    and last channels are flagged.
    Inclusion of a flagged value in an average causes that data value
    to be flagged. 
    If an 'outputvis' filename is given, the task will copy the input file to the 
    output file name first, including all columns that are present in the input MS. 
    After that step it will smooth the column(s) as requested in the 'datacolumn' parameter. 
    Alternatively, if no 'outputvis' is specified, hanningsmooth will work directly on the 
    input visibility file. 
    If the 'CORRECTED' data column is requested for an MS that does not contain this column, 
    it will be filled from the 'DATA' column and then smoothed.
    
    WARNING: by default, all visibility columns will be smoothed. This will 
     modify the DATA column of the output MS in order to make sure that
     later gaincal will work on the smoothed data, e.g. as part of self-cal.

    Keyword arguments:
    vis -- Name of input visibility file (MS)
   default: none; example: vis='ngc5921.ms'
    datacolumn -- the name of the MS column to be Hanning smoothed
          default='all'; example: datacolumn='corrected'
          options: 'corrected', 'data', 'all'
    outputvis -- name of the output visibility file (MS)
         default=none (write to the input MS); example: outputvis='ngc5921_src.ms'

    hanningsmooth(vis='ngc4852.ms', datacolumn='data', outputvis='ngc4852-hs.ms')                

Definition at line 13 of file hanningsmooth.py.