• DataWeightingandImaging

Data Weighting and Imaging

T. Muxlow

• General Introduction

• 1 Weighting Schemes and Data Gridding
  • Uniform and natural weighting, Robustness
  • Mixed-type arrays and optimising sensitivity
  • UV ranges and tapers
  • Angular resolution vs sensitivity
  2 Fourier Transforming to Instrumental Response and Raw Image
  • Types of transform
  • Image sizes and guard bands
  3 Multiple Field Centres
  • IMAGR
  • Regions of overlap
  • Image distortions and smearing
  4 Deconvolution Algorithms
  • Simple Clarke clean
  • Enhanced cleaning algorithms, use of PHAT, GAIN, SDCLEAN, MSCLEAN
  • Maximum entropy VTESS
  • Combinations of CLEAN, VTESS, and RSTOR
  • Windowing
  5 Selfcalibration
  • Feedback models
  • Clean components and images
  • Use of UVRANGE, REFANT