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
- Types of transform
- Image sizes and guard bands
- IMAGR
- Regions of overlap
- Image distortions and smearing
- Simple Clarke clean
- Enhanced cleaning algorithms, use of PHAT, GAIN, SDCLEAN, MSCLEAN
- Maximum entropy VTESS
- Combinations of CLEAN, VTESS, and RSTOR
- Windowing
- Feedback models
- Clean components and images
- Use of UVRANGE, REFANT
