Overview of imager tool functions:

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Overview of imager tool functions:

Data access: open, close, done
Data selection: ??
Data editing: clipvis
Data calibration: ??
Data examination: plotvis, plotuv, plotweights, plotsummary
Weighting: weight, filter, uvrange, sensitivity, fitpsf, plotweights
Image definition: advise, ??, make
Imaging: makeimage, clean, nnls, mem, ??, restore, residual, approximatepsf, fitpsf, setbeam, ft, smooth, feather, makemodelfromsd
Masks: mask, boxmask, regionmask, exprmask, clipimage
Miscellaneous: summary, setoptions, setoptions, setoptions

Example The following example shows the quickest way to make a CLEAN image and display it. Note that this can be more easily done from the ??.

include ’imager.g’
#
# First make the MS from a FITS file:
#
m:=fitstoms(msfile=’3C273XC1.MS’, fitsfile=’3C273XC1.FITS’); m.close();
#
# Now make an imager tool for the MS
#
imgr:=imager(’3C273XC1.MS’)
#
# Set the imager to produce images of cellsize 0.7 and
# 256 by 256 pixels
#
imgr.setimage(nx=256,ny=256, cellx=’0.7arcsec’,celly=’0.7arcsec’);
#
# Wait for results before proceeding to the next step
#
dowait:=T
#
# Make and display a clean image
#
imgr.clean(niter=1000, threshold=’30mJy’,
model=’3C273XC1.clean.model’, image=’3C273XC1.clean.image’)
dd.image(’3C273XC1.clean.image’)
#
# Fourier transform the model
#
imgr.ft(model=’3C273XC1.clean.model’)
#
# Plot the visibilities
#
imgr.plotvis()
#
# Write out the final MS and close the imager tool
#
imgr.close()

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