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H0LiCOW cosmological parameter sampling software

Martin Millon; Vivien Bonvin

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:

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

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