software . 2020

H0LiCOW cosmological parameter sampling software

Millon, Martin; Bonvin, Vivien;
Open Source
  • Published: 05 Feb 2020
  • Publisher: Zenodo
Abstract
Python notebook for H0 inference using H0LiCOW collaboration's 6-lens distance measurements. The python notebook is also available here: https://github.com/shsuyu/H0LiCOW-public/tree/master/H0_inference_code The posterior distributions of the time-delay distances and angular diameter distances for five of the six lens systems can be downloaded here: https://github.com/shsuyu/H0LiCOW-public/tree/master/h0licow_distance_chains The remaining lens (B1608+656) has an analytical fit to the PDF. 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 publ...
Subjects
free text keywords: H0LiCOW, Cosmology, Hubble constant
Funded by
EC| COSMICLENS
Project
COSMICLENS
Cosmology with Strong Gravitational Lensing
  • Funder: European Commission (EC)
  • Project Code: 787886
  • Funding stream: H2020 | ERC | ERC-ADG
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