Citing

[1] Image Subtraction in Fourier Space¹.
Hu et al. 2022, The Astrophysical Journal, 936, 157
See Arxiv Link, ADS Link and Related DOI: 10.3847/1538-4357/ac7394

[2] Differencing and Coadding JWST Images with Matched Point-spread Function².
Hu & Wang 2024, The Astronomical Journal, 167, 231
See Arxiv Link, ADS Link and Related DOI: 10.3847/1538-3881/ad36cb

---

1. The first publication of SFFT introduced the fundamental methodology behind the SFFT approach. ↩

2. The second publication of SFFT introduced several adaptations and improvements. We incorporated kernel regularization into SFFT and extended the method to be fully compatible with ZOGY's statistically closed-form framework. This hybrid approach preserves the general workflow of ZOGY while adding image-matching refinements using the SFFT code, making it an optimal subtraction engine for space telescopes such as JWST/NIRCam and Roman. ↩