pyselfi 1.0

A python implementation of the Simulator Expansion for Likelihood-Free Inference (SELFI) algorithm

pySELFI

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

• Florent Leclercq, [e-mail]

Reference

To acknowledge the use of pySELFI in research papers, please cite its Zenodo doi (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
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 = {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, distributed with the source code in a text file of the same name.