Radio Imaging and CLEAN - NRAO

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• Find brightest points in dirty image • Create model image containing a fraction of those flux points • Subtract model from data, leaving a residual Sunday, January 22, 2012 12
• Find brightest points in dirty image • Create model image containing a fraction of those flux points • Subtract model from data, leaving a residual • Final product = residual + model (convolved with restoring Gaussian beam) Sunday, January 22, 2012 13
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 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 50 and 51: 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
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Radio Imaging and CLEAN - NRAO

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