eliabt / bayestack

Flexible, fully bayesian stacking software for modelling of astronomical data sets

bayestack

Please cite:

• Zwart, Santos and Jarvis (MNRAS 453:1740-1753, 2017)

https://ui.adsabs.harvard.edu/abs/2015MNRAS.453.1740Z/abstract

https://arxiv.org/abs/1503.02493

@ARTICLE{2015MNRAS.453.1740Z,
       author = {{Zwart}, Jonathan T.~L. and {Santos}, Mario and {Jarvis}, Matt J.},
        title = "{Far beyond stacking: fully Bayesian constraints on sub-{\ensuremath{\mu}}Jy radio source populations over the XMM-LSS-VIDEO field}",
      journal = {\mnras},
     keywords = {methods: data analysis, methods: statistical, surveys, galaxies: evolution, radio continuum: galaxies, radio continuum: general, Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Astrophysics of Galaxies, Astrophysics - Instrumentation and Methods for Astrophysics},
         year = "2015",
        month = "Oct",
       volume = {453},
        pages = {1740-1753},
          doi = {10.1093/mnras/stv1716},
archivePrefix = {arXiv},
       eprint = {1503.02493},
 primaryClass = {astro-ph.CO},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2015MNRAS.453.1740Z},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

Released under GPLv2

Contributors:

• Jonathan Zwart (jtlz2; author)
• Song Chen
• Eliab Malefahlo (maintainer)
• Catherine Hale
• Imogen Whittam
• Mario Santos
• Matt Jarvis
• Tessa Vernstrom

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