H0LiCOW distance likelihoods in MontePython
Creators
- 1. Max Planck Institute for Astrophysics
- 2. Max Planck Institute for Astrophysics / Technical University of Munich
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 & Lesgourgues 2019; Audren et al. 2013), please see:
https://github.com/brinckmann/montepython_public
Files
MontePython_cosmo_sampling.zip
Files
(34.5 MB)
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Additional details
Related works
- Is derived from
- Software: https://github.com/shsuyu/H0LiCOW-public/tree/master/MontePython_cosmo_sampling (URL)