PRIISM: Python module for Radio Interferometry Imaging with Sparse Modeling
Astrophysics Source Code Library
著者:
- Takeshi Nakazato
- Shiro Ikeda
キーワード:
- ALMA
- sparse modeling
- radio interferometry
- imaging
Abstract:
PRIISM images radio interferometry data using the sparse modeling technique. In addition to generating an image, PRIISM can choose the best image from a range of processing parameters using cross validation. User can obtain statistically optimal images by providing the visibility data with some configuration parameters. The software is implemented as a Python module.