WSClean (w-stacking clean) is a fast generic widefield imager. It uses the w-stacking algorithm and can make use of the w-snapshot algorithm. As of Feb 2014, it is 2-12 times faster than CASA's w-projection, depending on the array configuration. It supports full-sky imaging and proper beam correction for homogeneous dipole arrays such as the MWA.
WSClean allows Hogbom and Cotton-Schwab cleaning and has wideband, multiscale, compressed sensing and joined-polarization deconvolution modes. All operations are performed on the CPU.
Features
- Fast generic widefield interferometric imager
- Hogbom and Cotton-Schwab cleaning
- Multi-scale cleaning and frequency-dependent deconvolution
- Supports large, full-sky images
- Polarized beam correction possible with MWA data
- Compressed-sensing deconvolution methods
- Adjustable anti-aliasing kernel size
Categories
AstronomyLicense
GNU General Public License version 3.0 (GPLv3)Other Useful Business Software
Gen AI apps are built with MongoDB Atlas
MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.