sfft-romansnpit 1.6.4.dev13

Image Subtraction in Fourier Space

Roman SNPIT fork of SFFT

Please look at the PyPi package sfft for the original. This package has customizations created for the Roman SNPIT.

.. 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-3.7-green.svg :target: https://www.python.org/downloads/release/python-370/

.. image:: https://zenodo.org/badge/doi/10.5281/zenodo.6463000.svg :target: https://doi.org/10.5281/zenodo.6463000 :alt: 1.0.6

.. 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: [e-mail] or [e-mail]

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

Roman SNPIT Variant Notes

(These notes are for members of the Roman SNPIT who need to upload a new version of this package.)

• Make sure that NAME in setup.py is sfft-romansnpit.

• Make sure that VERSION in setup.py is of the form <MAJOR>.<MINOR>.<PATCH>.dev<n> where <MAJOR>, <MINOR>, AND <PATCH> match the upstream that has most recently been merged in, and <n> is an integer that can start at 0 for a given MAJOR.MINOR.PATCH and that needs to increment each time we want to push a new package.

• Build in the main directory with::

  python -m build --sdist --outdir dist

  That will create a file in dist named sfft_romansnpit-<version>.tar.gz where <version> is what you put in the VERSION variable.

• You can then upload it to the sfft-romansnpit package on PyPi with::

  twine upload dist/sfft_romansnpit-.tar.gz