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README.md

S2LET: Fast wavelet transforms on the sphere

CMake Build Python Build

DESCRIPTION

S2LET provides functionality to perform fast and exact scale-discretised wavelet transforms on the sphere.

INSTALLATION

The python package, pys2let, is available on pypi and can be installed with:

pip install pys2let

Alternatively, it can be installed from a local clone of the repository for development purposes by

pip install -e .[dev]

The C package can be installed with CMake and conan:

Both can be installed using pip:

pip install conan cmake

Then S2LET can be compiled with:

git clone https://github.com/astro-informatics/s2let.git
mkdir s2let/build && cd s2let/build
cmake -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=/usr/local -Dconan_deps=ON  -Dcfitsio=ON ..
make
make install

The above will also download all necessary dependencies.

Instructions for installing other languages can be found here.

DOCUMENTATION

Further documentation is available here.

Usage for the python package is also given in the package docstring.

REFERENCING

If you use S2LET for work that results in publication, please reference https://github.com/astro-informatics/s2let/ and cite the relevant academic paper(s):

You may also like to consider citing the following papers on which the fast algorithms of S2LET are based:

LICENSE

S2LET is released under the GPL-3 license. For further details see LICENSE.txt.

AUTHORS

S2LET was initially developed by Boris Leistedt, Martin Büttner, and Jason McEwen but significant contributors have since been made by a number of others.

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