pySELFI

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

pySELFI is a statistical software package which implements the Simulator Expansion for Likelihood-Free Inference (SELFI) algorithm.

For more information on the code’s purpose and features, please see its homepage.

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
@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}
    }