Metadata-Version: 2.4
Name: sfft
Version: 1.7.2
Summary: Image Subtraction in Fourier Space
Download-URL: https://github.com/thomasvrussell/sfft
Author: Lei Hu
Author-email: leihu@sas.upenn.edu
Maintainer: Lei Hu
Maintainer-email: leihu@sas.upenn.edu
License: MIT Licence
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Topic :: Scientific/Engineering :: Astronomy
Requires-Python: >=3.5
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: scipy>=1.5.2
Requires-Dist: astropy>=3.2.3
Requires-Dist: fastremap>=1.7.0
Requires-Dist: sep>=1.0.3
Requires-Dist: numba>=0.53.1
Requires-Dist: llvmlite>=0.36.0
Requires-Dist: pyfftw>=0.12.0
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: download-url
Dynamic: license
Dynamic: license-file
Dynamic: maintainer
Dynamic: maintainer-email
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

..  image:: https://github.com/thomasvrussell/sfft/blob/master/docs/sfft_logo_gwbkg.png

*SFFT: Saccadic Fast Fourier Transform for image subtraction*
---------------------
.. image:: https://img.shields.io/pypi/v/sfft.svg
    :target: https://pypi.python.org/pypi/sfft
    :alt: Latest Version

.. image:: https://static.pepy.tech/personalized-badge/sfft?period=total&units=international_system&left_color=grey&right_color=orange&left_text=Downloads
    :target: https://pepy.tech/project/sfft

.. image:: https://img.shields.io/badge/python-3.12-green.svg
    :target: https://www.python.org/downloads/release/python-312/

.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.6463000.svg
   :target: https://doi.org/10.5281/zenodo.6463000
   :alt: DOI

.. image:: https://img.shields.io/badge/License-MIT-yellow.svg
    :target: https://opensource.org/licenses/MIT
|
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 <https://ui.adsabs.harvard.edu/abs/2022TNSAN.107....1P/abstract>`_ survey based on DECam & DESI, the DECam GW-MMADS Survey for GW Follow-ups and the JWST Cycle 3 Archival program `AR 5965 <https://www.stsci.edu/jwst/science-execution/program-information?id=5965>`_. SFFT is also the core engine for the differential photometry pipeline of the `Roman Supernova PIT <https://github.com/Roman-Supernova-PIT>`_.

Get started
---------------------

- **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:** astroleihu@gmail.com or leihu@sas.upenn.edu

Installation
=================
To install the latest release from PyPI, use pip: ::
    
    pip install sfft

For more detailed instructions, see the `install guide <https://thomasvrussell.github.io/sfft-doc/installation/>`_ in the docs.

Citing
--------

*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

Publications using SFFT method
--------------------------------

See ADS Library: https://ui.adsabs.harvard.edu/public-libraries/lc4tiTR_T--92f9k0YrRQg
