[NRAO] 7th NRAO Synthesis Imaging Summer School - June 2000 Prev
Error Recognition - S.T. Myers Page 25
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  19 Noise in Images  
 
 
  • The expected noise level in the image can be computed from the radiometer equation given the system sensitivity and integrations time; unexpectedly high noise levels are an indication of problems

  • Noise will be roughly additive and present where the data is, and thus can exhibit the same sidelobe pattern as the true sky signal

  • Be very careful in self-calibration on weak sources using short solution intervals - fake sources can be "manufactured" from noise!

  • Note that CLEAN or other deconvolution algorithms will wreak havoc on the noise distribution, and care should be taken in interpreting noise in restored or model images

  • Always know the expected noise level in the image given the system temperatures, atmospheric conditions, and integrations time!

  • Astrometry requires special care in calibration, as closing phase errors and the self-calibration process itself will corrupt the source position

 
 
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