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H0LiCOW distance likelihoods in MontePython

Stefan Taubenberger; Sherry H. Suyu


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    "title": "H0LiCOW distance likelihoods in MontePython", 
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        "title": "Cosmic Fireworks Premi\u00e8re: Unravelling Enigmas of Type Ia Supernova Progenitor and Cosmology through Strong Lensing", 
        "acronym": "LENSNOVA", 
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    "description": "<p>Implementation of the 6-lens likelihoods of the H0LiCOW lensing distance measurements in the MontePython software (tested in MontePython 3.1.0).&nbsp; The implementation is available at:<br>\nhttps://github.com/shsuyu/H0LiCOW-public/tree/master/MontePython_cosmo_sampling</p>\n\n<p>If you make use of the distance measurements (time-delay distance and/or lens angular diameter distance) to the 6 lens systems from H0LiCOW, please cite the relevant publications:</p>\n\n<ul>\n\t<li><a href=\"https://ui.adsabs.harvard.edu/abs/2010ApJ...711..201S/abstract\">Suyu et al. 2010</a> (B1608+656 time-delay distance fit)</li>\n\t<li><a href=\"https://ui.adsabs.harvard.edu/abs/2019Sci...365.1134J/abstract\">Jee et al. 2019</a> (B1608+656 angular diameter distance fit)</li>\n\t<li><a href=\"https://ui.adsabs.harvard.edu/abs/2019MNRAS.490.1743C/abstract\">Chen et al. 2019</a>, <a href=\"https://ui.adsabs.harvard.edu/abs/2017MNRAS.465.4895W/abstract\">Wong et al. 2017</a> (HE0435-1223 distance posterior)</li>\n\t<li><a href=\"https://ui.adsabs.harvard.edu/abs/2019MNRAS.484.4726B/abstract\">Birrer et al. 2019</a> (J1206+4332 distance posterior)</li>\n\t<li><a href=\"https://ui.adsabs.harvard.edu/abs/2019MNRAS.490.1743C/abstract\">Chen et al. 2019</a>, <a href=\"https://ui.adsabs.harvard.edu/abs/2014ApJ...788L..35S/abstract\">Suyu et al. 2014</a> (RXJ1131-1231 distance posterior)</li>\n\t<li><a href=\"https://ui.adsabs.harvard.edu/abs/2019MNRAS.490.1743C/abstract\">Chen et al. 2019</a> (PG1115+080 distance posterior)</li>\n\t<li><a href=\"https://arxiv.org/abs/1905.09338\">Rusu et al. 2019</a> (WFI2033-4723 distance posterior)</li>\n\t<li><a href=\"https://arxiv.org/abs/1907.04869\">Wong et al. 2019</a> (combined inference)</li>\n</ul>\n\n<p>For MontePython (<a href=\"https://ui.adsabs.harvard.edu/abs/2019PDU....24..260B/abstract\">Brinckmann &amp; Lesgourgues 2019</a>; <a href=\"https://ui.adsabs.harvard.edu/abs/2013JCAP...02..001A/abstract\">Audren et al. 2013</a>), please see:<br>\nhttps://github.com/brinckmann/montepython_public</p>"
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