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H0LiCOW cosmological parameter sampling software

Martin Millon; Vivien Bonvin

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        <foaf:name>Vivien Bonvin</foaf:name>
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    <dct:title>H0LiCOW cosmological parameter sampling software</dct:title>
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    <dcat:keyword>Hubble constant</dcat:keyword>
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    <dct:description>&lt;p&gt;Python notebook for H&lt;sub&gt;0&lt;/sub&gt; inference using H0LiCOW collaboration&amp;#39;s 6-lens distance measurements.&amp;nbsp; The python notebook is also available here:&lt;br&gt; https://github.com/shsuyu/H0LiCOW-public/tree/master/H0_inference_code&lt;br&gt; &lt;br&gt; The posterior distributions of the time-delay distances and angular diameter distances for five of the six lens systems can be downloaded here:&lt;br&gt; https://github.com/shsuyu/H0LiCOW-public/tree/master/h0licow_distance_chains&lt;br&gt; The remaining lens (B1608+656) has an analytical fit to the PDF.&lt;/p&gt; &lt;p&gt;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:&lt;/p&gt; &lt;ul&gt; &lt;li&gt;&lt;a href="https://ui.adsabs.harvard.edu/abs/2010ApJ...711..201S/abstract"&gt;Suyu et al. 2010&lt;/a&gt; (B1608+656 time-delay distance fit)&lt;/li&gt; &lt;li&gt;&lt;a href="https://ui.adsabs.harvard.edu/abs/2019Sci...365.1134J/abstract"&gt;Jee et al. 2019&lt;/a&gt; (B1608+656 angular diameter distance fit)&lt;/li&gt; &lt;li&gt;&lt;a href="https://ui.adsabs.harvard.edu/abs/2019MNRAS.490.1743C/abstract"&gt;Chen et al. 2019&lt;/a&gt;, &lt;a href="https://ui.adsabs.harvard.edu/abs/2017MNRAS.465.4895W/abstract"&gt;Wong et al. 2017&lt;/a&gt; (HE0435-1223 distance posterior)&lt;/li&gt; &lt;li&gt;&lt;a href="https://ui.adsabs.harvard.edu/abs/2019MNRAS.484.4726B/abstract"&gt;Birrer et al. 2019&lt;/a&gt; (J1206+4332 distance posterior)&lt;/li&gt; &lt;li&gt;&lt;a href="https://ui.adsabs.harvard.edu/abs/2019MNRAS.490.1743C/abstract"&gt;Chen et al. 2019&lt;/a&gt;, &lt;a href="https://ui.adsabs.harvard.edu/abs/2014ApJ...788L..35S/abstract"&gt;Suyu et al. 2014&lt;/a&gt; (RXJ1131-1231 distance posterior)&lt;/li&gt; &lt;li&gt;&lt;a href="https://ui.adsabs.harvard.edu/abs/2019MNRAS.490.1743C/abstract"&gt;Chen et al. 2019&lt;/a&gt; (PG1115+080 distance posterior)&lt;/li&gt; &lt;li&gt;&lt;a href="https://arxiv.org/abs/1905.09338"&gt;Rusu et al. 2019&lt;/a&gt; (WFI2033-4723 distance posterior)&lt;/li&gt; &lt;li&gt;&lt;a href="https://arxiv.org/abs/1907.04869"&gt;Wong et al. 2019&lt;/a&gt; (combined inference)&lt;/li&gt; &lt;/ul&gt; &lt;p&gt;The H&lt;sub&gt;0&lt;/sub&gt; inference from these posteriors can be obtained following the python notebook.&amp;nbsp; The cosmological parameter chains from running the python notebook are available here:&lt;br&gt; https://github.com/shsuyu/H0LiCOW-public/tree/master/cosmo_parameter_chains&lt;/p&gt;</dct:description>
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February 5, 2020
DOI:
10.5281/zenodo.3633035

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Keyword(s):
H0LiCOW Cosmology Hubble constant
Grants:
European Commission:
  • COSMICLENS - Cosmology with Strong Gravitational Lensing (787886)
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung:
  • COSMOGRAIL: Cosmology with Time Delays in Gravitationally Lensed Quasars (200020_172712)
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