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}
}
Project data
Data associated with DSPS (such as SSP SEDs and transmission curves) can be found at this URL.
A much larger compilation of SSP SEDs tabulated by Suchetha Cooray can be found at this URL.
1 maintainer
Metadata
1 maintainer
Release files for dsps 0.4.8
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dsps-0.4.8.tar.gz | 513.0 kB | Details |
Release files / dsps-0.4.8.tar.gz
| Download URL | dsps-0.4.8.tar.gz |
|---|---|
| Size | 513.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
4ccc2052b6dd30f8884637266d995762b8d2336ad8d8b45ea8a22602c55b6e83
|
|
BLAKE2b-256 checksum How to use checksums |
bc1e5a6840ce6bb2d981c5533c7f2432ca800e5b499d5a5f0bbb8b61911cf08b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.11
|
