dsps 0.3.7

Differentiable Stellar Population Synthesis

dsps

Differentiable Stellar Population Synthesis

Installation

The latest release of DSPS is now available for installation with pip:

$ pip install dsps

Alternatively, the latest release is also available on conda-forge:

$ conda install -c conda-forge 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}
}