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56 lines (55 loc) · 1.84 KB
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# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: unxt
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Nathaniel
family-names: Starkman
email: nstarman@users.noreply.github.com
affiliation: MIT
orcid: 'https://orcid.org/0000-0003-3954-3291'
- given-names: Adrian
family-names: Price-Whelan
email: adrn@users.noreply.github.com
affiliation: Flatiron Institute
orcid: 'https://orcid.org/0000-0003-0872-7098'
- given-names: Jake
family-names: Nibauer
email: jnibauer@users.noreply.github.com
affiliation: Princeton
orcid: 'https://orcid.org/0000-0001-8042-5794'
identifiers:
- type: doi
value: 10.21105/joss.07771
description: JOSS
- type: doi
value: 10.5281/zenodo.10850455
description: Zenodo
repository-code: 'https://github.com/GalacticDynamics/unxt/'
url: 'https://unxt.readthedocs.io'
repository-artifact: 'https://pypi.org/project/unxt/'
abstract: >-
unxt is a Python package for unit-aware computing with
JAX, which is a high-performance numerical computing
library that enables automatic differentiation and
just-in-time compilation to accelerate code execution on
multiple compute architectures. unxt is built on top of
quax, which provides a framework for building array-like
objects that can be used with JAX. unxt extends quax to
provide support for unit-aware computing using the
astropy.units package as a units backend. unxt provides
seamless integration of physical units into high
performance numerical computations, significantly
enhancing the capabilities of JAX for scientific
applications.
keywords:
- units
- quantities
- dimensions
- jax
- scientific computing
license: BSD-3-Clause