Saccadic Fast Fourier Transform (SFFT) is an algorithm for fast & accurate image subtraction in Fourier space. SFFT brings about a remarkable improvement of computational performance of around an order of magnitude compared to other published image subtraction codes.
SFFT method is the transient detection engine for several ongoing time-domain programs, including the DESIRT survey based on DECam & DESI, the DECam GW-MMADS Survey for GW Follow-ups and the JWST Cycle 3 Archival program AR 5965. SFFT is also the core engine for the differential photometry pipeline of the Roman Supernova PIT.
- Documentation: https://thomasvrussell.github.io/sfft-doc/ [recommended]
- Installation: https://thomasvrussell.github.io/sfft-doc/installation/
- Tutorials: https://thomasvrussell.github.io/sfft-doc/tutorials/
- Source code: https://github.com/thomasvrussell/sfft
- Contact the author: [email protected] or [email protected]
To install the latest release from PyPI, use pip:
pip install sfft
For more detailed instructions, see the install guide in the docs.
Image Subtraction in Fourier Space, Lei Hu et al. 2022, The Astrophysical Journal, 936, 157
See ADS Link: https://ui.adsabs.harvard.edu/abs/2022ApJ...936..157H/abstract
See ADS Library: https://ui.adsabs.harvard.edu/public-libraries/lc4tiTR_T--92f9k0YrRQg