Metadata-Version: 2.1
Name: pyselfi
Version: 1.1
Summary: A python implementation of the Simulator Expansion for Likelihood-Free Inference (SELFI) algorithm
Home-page: http://pyselfi.florent-leclercq.eu
Author: Florent Leclercq
Author-email: florent.leclercq@polytechnique.org
License: UNKNOWN
Description: # pySELFI #
        
        [![arXiv](https://img.shields.io/badge/astro--ph.CO-arxiv%3A1902.10149-B31B1B.svg?style=flat)](https://arxiv.org/abs/1902.10149)
        [![GitHub version](https://img.shields.io/github/tag/florent-leclercq/pyselfi.svg?label=version)](https://github.com/florent-leclercq/pyselfi)
        [![GitHub commits](https://img.shields.io/github/commits-since/florent-leclercq/pyselfi/v1.1.svg)](https://github.com/florent-leclercq/pyselfi/commits)
        [![DOI](https://zenodo.org/badge/197575311.svg)](https://zenodo.org/badge/latestdoi/197575311)
        [![GPLv3 license](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://github.com/florent-leclercq/pyselfi/blob/master/LICENSE)
        [![PyPI version](https://badge.fury.io/py/pyselfi.svg)](https://badge.fury.io/py/pyselfi)
        [![Docs](https://readthedocs.org/projects/pyselfi/badge/)](http://pyselfi.readthedocs.io/en/latest/)
        [![Build Status](https://travis-ci.com/florent-leclercq/pyselfi.svg?branch=master)](https://travis-ci.com/florent-leclercq/pyselfi)
        [![Website florent-leclercq.eu](https://img.shields.io/website-up-down-green-red/http/pyselfi.florent-leclercq.eu.svg)](http://pyselfi.florent-leclercq.eu/)
        
        Simulator Expansion for Likelihood-Free Inference (SELFI): a python implementation.
        
        ## Documentation ##
        
        The code's homepage is [http://pyselfi.florent-leclercq.eu](http://pyselfi.florent-leclercq.eu). The documentation is available on readthedocs at [https://pyselfi.readthedocs.io/](https://pyselfi.readthedocs.io/). Limited user-support may be asked from the main author, Florent Leclercq.
        
        ## Contributors ##
        
        * Florent Leclercq, florent.leclercq@polytechnique.org  
        
        ## Reference ##
        
        To acknowledge the use of pySELFI in research papers, please cite its [doi:10.5281/zenodo.3341588](https://doi.org/10.5281/zenodo.3341588) (or for the latest version, see the badge above), as well as the paper <a href="https://arxiv.org/abs/1902.10149" target="blank">Leclercq <i>et al.</i> 2019</a>: 
        
        *Primordial power spectrum and cosmology from black-box galaxy surveys*<br/>
        F. Leclercq, W. Enzi, J. Jasche, A. Heavens<br/>
        <a href="http://arxiv.org/abs/1902.10149" target="blank">arXiv:1902.10149</a> [<a href="http://arxiv.org/abs/1902.10149" target="blank">astro-ph.CO</a>] [<a href="https://ui.adsabs.harvard.edu/?#abs/2019arXiv190210149L" target="blank">ADS</a>] [<a href="http://arxiv.org/pdf/1902.10149" class="document" target="blank">pdf</a>]
        
            @ARTICLE{pySELFI,
                author = {{Leclercq}, Florent and {Enzi}, Wolfgang and {Jasche}, Jens and {Heavens}, Alan},
                title = "{Primordial power spectrum and cosmology from black-box galaxy surveys}",
                journal = {arXiv e-prints},
                keywords = {Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics},
                year = "2019",
                month = "Feb",
                eid = {arXiv:1902.10149},
                pages = {arXiv:1902.10149},
                archivePrefix = {arXiv},
                eprint = {1902.10149},
                primaryClass = {astro-ph.CO},
                adsurl = {https://ui.adsabs.harvard.edu/abs/2019arXiv190210149L},
                adsnote = {Provided by the SAO/NASA Astrophysics Data System}
                }
        
        ## License ##
        
        This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. By downloading and using pySELFI, you agree to the [LICENSE](LICENSE), distributed with the source code in a text file of the same name.
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
Provides-Extra: doc
