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H0LiCOW distance likelihoods in MontePython

Stefan Taubenberger; Sherry H. Suyu


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  <dc:creator>Stefan Taubenberger</dc:creator>
  <dc:creator>Sherry H. Suyu</dc:creator>
  <dc:date>2020-02-05</dc:date>
  <dc:description>Implementation of the 6-lens likelihoods of the H0LiCOW lensing distance measurements in the MontePython software (tested in MontePython 3.1.0).  The implementation is available at:
https://github.com/shsuyu/H0LiCOW-public/tree/master/MontePython_cosmo_sampling

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:


	Suyu et al. 2010 (B1608+656 time-delay distance fit)
	Jee et al. 2019 (B1608+656 angular diameter distance fit)
	Chen et al. 2019, Wong et al. 2017 (HE0435-1223 distance posterior)
	Birrer et al. 2019 (J1206+4332 distance posterior)
	Chen et al. 2019, Suyu et al. 2014 (RXJ1131-1231 distance posterior)
	Chen et al. 2019 (PG1115+080 distance posterior)
	Rusu et al. 2019 (WFI2033-4723 distance posterior)
	Wong et al. 2019 (combined inference)


For MontePython (Brinckmann &amp; Lesgourgues 2019; Audren et al. 2013), please see:
https://github.com/brinckmann/montepython_public</dc:description>
  <dc:identifier>https://zenodo.org/record/3632967</dc:identifier>
  <dc:identifier>10.5281/zenodo.3632967</dc:identifier>
  <dc:identifier>oai:zenodo.org:3632967</dc:identifier>
  <dc:relation>info:eu-repo/grantAgreement/EC/H2020/771776/</dc:relation>
  <dc:relation>url:https://github.com/shsuyu/H0LiCOW-public/tree/master/MontePython_cosmo_sampling</dc:relation>
  <dc:relation>doi:10.5281/zenodo.3632966</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:subject>H0LiCOW</dc:subject>
  <dc:subject>Cosmology</dc:subject>
  <dc:title>H0LiCOW distance likelihoods in MontePython</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>software</dc:type>
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