H0LiCOW cosmological parameter sampling software

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 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)

The H₀ inference from these posteriors can be obtained following the python notebook.  The cosmological parameter chains from running the python notebook are available here:
https://github.com/shsuyu/H0LiCOW-public/tree/master/cosmo_parameter_chains