hanningsmooth

Synopsis Hanning smooth frequency channel data to remove Gibbs ringing Description

This function Hanning smooths the frequency channels with a weighted running average of smoothedData[i] = 0.25*correctedData[i-1] + 0.50*correctedData[i] + 0.25*correctedData[i-1]. The first and last channels are flagged. Inclusion of a flagged value in an average causes that data value to be flagged.


Inputs
vis	Name of input visibility file (MS)
	allowed:	string
	Default:

        The hanningsmooth task smooths the frequency channels with
        a weighted running average of

            SData[i] = 0.25 * OData[i-1] + 0.50 * OData[i] + 0.25 * OData[i-1]

        where SData is the smoothed data and OData is the original data.

        The first and last channels are flagged. Inclusion of a flagged value in
        an average causes that data value to be flagged.

        Keyword arguments:
        vis -- Name of input visibility file (MS)
                default: none; example: vis=’ngc5921.ms’

        hanningsmooth(vis=’ngc5921.ms’)

0.1.24 hanningsmooth