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push: | ||
branches: | ||
- main | ||
# Add following in for testing | ||
# - feature/deploy_docs | ||
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jobs: | ||
build: | ||
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.. image:: https://img.shields.io/badge/GitHub-PyTemplate-brightgreen.svg?style=flat | ||
:target: https://github.com/astro-informatics/s2fft | ||
.. image:: https://github.com/astro-informatics/s2fft/actions/workflows/tests.yml/badge.svg?branch=main | ||
:target: https://github.com/astro-informatics/s2fft/actions/workflows/tests.yml | ||
.. image:: https://readthedocs.org/projects/ansicolortags/badge/?version=latest | ||
:target: https://astro-informatics.github.io/s2fft | ||
.. image:: https://img.shields.io/badge/GitHub-PyTemplate-brightgreen.svg?style=flat | ||
:target: https://github.com/astro-informatics/s2fft | ||
.. image:: https://codecov.io/gh/astro-informatics/s2fft/branch/main/graph/badge.svg?token=7QYAFAAWLE | ||
:target: https://codecov.io/gh/astro-informatics/s2fft | ||
.. image:: https://img.shields.io/badge/License-MIT-yellow.svg | ||
:target: https://opensource.org/licenses/MIT | ||
.. image:: http://img.shields.io/badge/arXiv-xxxx.xxxxx-orange.svg?style=flat | ||
:target: https://arxiv.org/abs/xxxx.xxxxx | ||
.. image:: https://img.shields.io/badge/code%20style-black-000000.svg | ||
:target: https://github.com/psf/black | ||
.. image:: https://colab.research.google.com/assets/colab-badge.svg | ||
:target: https://colab.research.google.com/drive/1YmJ2ljsF8HBvhPmD4hrYPlyAKc4WPUgq?usp=sharing | ||
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S2FFT: JAX accelerated spin-spherical harmonic transforms | ||
Differentiable and accelerated spherical transforms with JAX | ||
================================================================================================================= | ||
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Add some basic discussion about ``S2FFT`` here. | ||
`S2FFT` is a JAX package for computing Fourier transforms on the sphere | ||
and rotation group. It leverages autodiff to provide differentiable | ||
transforms, which are also deployable on hardware accelerators | ||
(e.g. GPUs and TPUs). | ||
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Installation | ||
============ | ||
More specifically, `S2FFT` provides support for spin spherical harmonic | ||
and Wigner transforms (for both real and complex signals), with support | ||
for adjoint transformations where needed, and comes with different | ||
optimisations (precompute or not) that one may select depending on | ||
available resources and desired angular resolution $L$. | ||
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Add some basic installation instructions here. | ||
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Documentation | ||
============= | ||
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Link to the full documentation (when deployed). | ||
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Contributors | ||
============ | ||
Author names & Contributors | ||
Read the full documentation [here](https://astro-informatics.github.io/s2fft/#). | ||
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Attribution | ||
=========== | ||
A BibTeX entry for <project-name> is: | ||
Should this code be used in any way, we kindly request that the following article is | ||
referenced. A BibTeX entry for this reference may look like: | ||
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.. code-block:: | ||
@article{price:s2fft, | ||
author = "Matthew A. Price and Jason D. McEwen and Contributors", | ||
title = "Differentiable and accelerated spherical harmonic and Wigner transforms", | ||
journal = "Journal of Computational Physics", | ||
year = "2023", | ||
eprint = "arXiv:0000.00000" | ||
} | ||
You might also like to consider citing our related papers on which this | ||
code builds: | ||
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.. code-block:: | ||
@article{mcewen:fssht, | ||
author = "Jason D. McEwen and Yves Wiaux", | ||
title = "A novel sampling theorem on the sphere", | ||
journal = "IEEE Trans. Sig. Proc.", | ||
year = "2011", | ||
volume = "59", | ||
number = "12", | ||
pages = "5876--5887", | ||
eprint = "arXiv:1110.6298", | ||
doi = "10.1109/TSP.2011.2166394" | ||
} | ||
.. code-block:: | ||
@article{S2FFT, | ||
author = {Author~List}, | ||
title = {"A totally amazing name"}, | ||
journal = {ArXiv}, | ||
eprint = {arXiv:0000.00000}, | ||
year = {what year is it?!} | ||
} | ||
@article{mcewen:so3, | ||
author = "Jason D. McEwen and Martin B{\"u}ttner and Boris ~Leistedt and Hiranya V. Peiris and Yves Wiaux", | ||
title = "A novel sampling theorem on the rotation group", | ||
journal = "IEEE Sig. Proc. Let.", | ||
year = "2015", | ||
volume = "22", | ||
number = "12", | ||
pages = "2425--2429", | ||
eprint = "arXiv:1508.03101", | ||
doi = "10.1109/LSP.2015.2490676" | ||
} | ||
License | ||
======= | ||
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``S2FFT`` is released under the MIT license (see | ||
`LICENSE.txt <https://github.com/astro-informatics/s2fft/blob/main/LICENCE.txt>`_). | ||
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.. code-block:: | ||
We provide this code under an MIT open-source licence with the hope that | ||
it will be of use to a wider community. | ||
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S2FFT | ||
Copyright (C) 2022 Author names & contributors | ||
Copyright 2023 Matthew Price, Jason McEwen and contributors. | ||
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This program is released under the MIT license (see `LICENSE.txt`). | ||
`S2FFT` is free software made available under the MIT License. For | ||
details see the LICENSE file. |
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