• ImageErrorAnalysis

Noise and measurement in interferometry

A. Lobanov

• 1 Assessment of the image quality and noise properties in interferometry.
  • Main types noise in interferometric data (additive, multiplicative, convolution, and position dependent errors).
  • Modification made to the noise during imaging and self-calibration (gridding, averaging, uv-tapering, deconvolution)
  2 Detailed, quantitiative account for contributions from major noise in images
  • Thermal noise
  • Bandiwdth and time-average smearing
  • Sampling (image dimensions), gridding, and convolution
  • Weighting and tapering
  • Deconvolution
  • Self-calibration
    • Estimating the expected noise level in the image, analyzing the residual noise, and making an assessment of the image quality.
  3 Measurements from interferometric data
  • Approaches and methods for quantifying the observed brightness distribution in the visibility plane and image plane.
  • Error estimates.
  • Methods for making quantitative estimates of the limits on resolution and spatial sensitivity in interferometric images.