Radio Imaging and CLEAN - NRAO

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Dirty Beam Shape <strong>and</strong> Weighting • “Tapering” – apodize the (u,v) sampling by a Gaussian t = tapering parameter (in kλ; arcsec) – like smoothing in the image plane (convolution by a Gaussian) – gives more weight to short baselines, degrades angular resolution – degrades point source sensitivity but can improve sensitivity to extended structure Sunday, January 22, 2012 50
Example of Natural vs. Uniform Weighting !"#$%"&'()*+,#*!+' Sunday, January 22, 2012 -(,/'0123'4561'7'89:;;'9=8;;'
Page 1 and 2: Radio Imaging and CLEAN !"#$%"&'()*
Page 3 and 4: Outline • Brief review of synthes
Page 8 and 9: Imaging and Deconvolution • Conse
Page 10 and 11: • Find brightest points in dirty
Page 12 and 13: • Find brightest points in dirty
Page 14 and 15: Sunday, January 22, 2012 residual (
Page 34 and 35: Deconvolution Results depend on:
Page 36 and 37: imagename Sunday, January 22, 2012
Page 38 and 39: imsize and cell Sunday, January 22,
Page 40 and 41: plotuv Sunday, January 22, 2012 40
Page 42 and 43: mode Sunday, January 22, 2012 42
Page 44 and 45: When to stop cleaning? : niter & th
Page 46 and 47: mode Sunday, January 22, 2012 46
Page 48 and 49: Dirty Beam Shape and Weighting •
Page 52 and 53: Weighting and Tapering: Summary •
Page 54 and 55: mask • Define region where you ex
Page 56 and 57: nteractive Clean perform N iteratio
Page 58 and 59: multiscale clean Sunday, January 22
Page 60 and 61: zero-spacing Low Spatial Frequencie
Page 62: mosaicking • image multiple point

Radio Imaging and CLEAN - NRAO

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