Skip to content
master
Switch branches/tags
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
doc
 
 
 
 
 
 
 
 
 
 
 
 
 
 

pySELFI

arXiv GitHub version GitHub commits DOI GPLv3 license PyPI version Docs Build Status Website florent-leclercq.eu

Simulator Expansion for Likelihood-Free Inference (SELFI): a python implementation.

Documentation

The code's homepage is http://pyselfi.florent-leclercq.eu. The documentation is available on readthedocs at https://pyselfi.readthedocs.io/. Limited user-support may be asked from the main author, Florent Leclercq.

Contributors

Reference

To acknowledge the use of pySELFI in research papers, please cite its doi:10.5281/zenodo.3341588 (or for the latest version, see the badge above), as well as the paper Leclercq et al. (2019):

Primordial power spectrum and cosmology from black-box galaxy surveys
F. Leclercq, W. Enzi, J. Jasche, A. Heavens
MNRAS 490, 4237 (2019), arXiv:1902.10149 [astro-ph.CO] [ADS] [pdf]

@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 = {\mnras},
    keywords = {methods: statistical, cosmological parameters, large-scale structure of Universe, Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics},
    year = "2019",
    month = "Dec",
    volume = {490},
    number = {3},
    pages = {4237-4253},
    doi = {10.1093/mnras/stz2718},
    archivePrefix = {arXiv},
    eprint = {1902.10149},
    primaryClass = {astro-ph.CO},
    adsurl = {https://ui.adsabs.harvard.edu/abs/2019MNRAS.490.4237L},
    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, distributed with the source code in a text file of the same name.