Content-type: text/html Manpage of mfflat

mfflat

Section: User Commands (1)
Index Return to Main Contents
 

NAME

mfflat - Flatten the spectral variation of a visibility data-set.  

PERSON RESPONSIBLE

rjs  

CATEGORIES

calibration  

DESCRIPTION

MFFLAT is a MIRIAD task which flattens the spectral variation of a visibility data-set. This is used in multi-frequency synthesis, where it is desirable to eliminate the dominant spectral variation from the data (i.e. flatten the spectral variation), and so reduce the spectral artifacts in the mapping and deconvolution process. MFFLAT works by modifying the calibration tables of the input data-sets.  

PARAMETERS

vis
Names of the input visibility data-sets. Several can be given. Wildcard expansion is supported. On output, the calibration tables of the data-set have been modified in such a way as to eliminate the dominant spectral variation.
model
The input model. This must be MFS image, consisting of an intensity and a scaled-derivative plane. This is analysed to determine the dominant spectral index.


 

Index

NAME
PERSON RESPONSIBLE
CATEGORIES
DESCRIPTION
PARAMETERS

This document was created by man2html, using the manual pages.
Time: 18:35:38 GMT, July 05, 2011