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)
You Might Also Like
BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.