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dsps-0.3.1
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مشاهده بیشترتوضیحات
Differentiable Stellar Population Synthesis
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | dsps-0.3.1 |
| نام | dsps |
| نسخه کتابخانه | 0.3.1 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | - |
| ایمیل نویسنده | Andrew Hearin <ahearin@anl.gov> |
| آدرس صفحه اصلی | - |
| آدرس اینترنتی | https://pypi.org/project/dsps/ |
| مجوز | BSD 3-Clause License Copyright (c) 2021, Andrew Hearin All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. |
# dsps
[](https://github.com/ArgonneCPAC/dsps/actions/workflows/tests.yml)
Differentiable Stellar Population Synthesis
## Installation
The latest release of DSPS is v0.3.0, which is now available for pip installation:
```
$ 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](https://dsps.readthedocs.io/en/latest/).
## Citing DSPS
[The DSPS paper](https://arxiv.org/abs/2112.06830) has been published in [Monthly Notices of the Royal Astronomical Society](https://academic.oup.com/mnras/advance-article-abstract/doi/10.1093/mnras/stad456/7034352?utm_source=advanceaccess&utm_campaign=mnras&utm_medium=email). Citation information for the paper can be found at [this ADS link](https://ui.adsabs.harvard.edu/abs/2023MNRAS.521.1741H/abstract), 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}
}
```
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.8 | Python |
نحوه نصب
نصب پکیج whl dsps-0.3.1:
pip install dsps-0.3.1.whl
نصب پکیج tar.gz dsps-0.3.1:
pip install dsps-0.3.1.tar.gz