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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.


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
    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 = {},
    adsnote = {Provided by the SAO/NASA Astrophysics Data System}