Differentiable Stellar Population Synthesis
Project description
dsps
Differentiable Stellar Population Synthesis
Installation
The DSPS package can be installed with conda-forge, which will automatically handle installation of the required dependencies: numpy, jax, diffmah, and diffstar:
$ conda install dsps
To install dsps from source, first clone the GitHub repository, and then:
$ pip install .
Documentation
Online documentation for DSPS is available at dsps.readthedocs.io.
Citing DSPS
The DSPS paper has been published in Monthly Notices of the Royal Astronomical Society. Citation information for the paper can be found at this ADS link, copied below for convenience:
@ARTICLE{2023MNRAS.521.1741H,
author = {{Hearin}, Andrew P. and {Chaves-Montero}, Jon{\'a}s and {Alarcon}, Alex and {Becker}, Matthew R. and {Benson}, Andrew},
title = "{DSPS: Differentiable stellar population synthesis}",
journal = {MNRAS},
keywords = {software: data analysis, galaxies: stellar content, cosmology: large-scale structure of Universe, Astrophysics - Astrophysics of Galaxies, Astrophysics - Cosmology and Nongalactic Astrophysics},
year = 2023,
month = may,
volume = {521},
number = {2},
pages = {1741-1756},
doi = {10.1093/mnras/stad456},
archivePrefix = {arXiv},
eprint = {2112.06830},
primaryClass = {astro-ph.GA},
adsurl = {https://ui.adsabs.harvard.edu/abs/2023MNRAS.521.1741H},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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