February 5, 2020 Software Open Access

Stefan Taubenberger; Sherry H. Suyu

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  <identifier identifierType="DOI">10.5281/zenodo.3632967</identifier>
  <creators>
    <creator>
      <creatorName>Stefan Taubenberger</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-4265-1958</nameIdentifier>
      <affiliation>Max Planck Institute for Astrophysics</affiliation>
    </creator>
    <creator>
      <creatorName>Sherry H. Suyu</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-5568-6052</nameIdentifier>
      <affiliation>Max Planck Institute for Astrophysics / Technical University of Munich</affiliation>
    </creator>
  </creators>
  <titles>
    <title>H0LiCOW distance likelihoods in MontePython</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <subjects>
    <subject>H0LiCOW</subject>
    <subject>Cosmology</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2020-02-05</date>
  </dates>
  <resourceType resourceTypeGeneral="Software"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3632967</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsDerivedFrom" resourceTypeGeneral="Software">https://github.com/shsuyu/H0LiCOW-public/tree/master/MontePython_cosmo_sampling</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3632966</relatedIdentifier>
  </relatedIdentifiers>
  <version>v1.0</version>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;Implementation of the 6-lens likelihoods of the H0LiCOW lensing distance measurements in the MontePython software (tested in MontePython 3.1.0).&amp;nbsp; The implementation is available at:&lt;br&gt;
https://github.com/shsuyu/H0LiCOW-public/tree/master/MontePython_cosmo_sampling&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;For MontePython (&lt;a href="https://ui.adsabs.harvard.edu/abs/2019PDU....24..260B/abstract"&gt;Brinckmann &amp;amp; Lesgourgues 2019&lt;/a&gt;; &lt;a href="https://ui.adsabs.harvard.edu/abs/2013JCAP...02..001A/abstract"&gt;Audren et al. 2013&lt;/a&gt;), please see:&lt;br&gt;
https://github.com/brinckmann/montepython_public&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/100010661</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/771776/">771776</awardNumber>
      <awardTitle>Cosmic Fireworks Première: Unravelling Enigmas of Type Ia Supernova Progenitor and Cosmology through Strong Lensing</awardTitle>
    </fundingReference>
  </fundingReferences>
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