Algorithm Reference Library¶
The Algorithm Reference Library expresses radio interferometry calibration and imaging algorithms in python and numpy. The emphasis is on capturing the key algorithms and data models. The interfaces all operate with familiar data structures such as image, visibility table, gaintable, etc. The source code is directly accessible from these documentation pages: see the source link in the top right corner.
Getting Started¶
- Quick start
- Directory
- Data containers used by ARL
- Create empty data set for observation (a-la makeMS)
- Read existing Measurement Set
- Gridding and degridding
- Visibility weighting and tapering
- Visibility Predict and Invert
- Deconvolution
- Calibration
- Coordinate transforms
- Image
- Visibility
- Calibration workflows
- Imaging workflows
- Pipeline workflows
- Simulation workflows
- Execution
- API
- Other information