ASCL Code Record
[ascl:2212.003]
MGCosmoPop: Modified gravity and cosmology with binary black holes population models
MGCosmoPop implements a hierarchical Bayesian inference method for constraining the background cosmological history, in particular the Hubble constant, together with modified gravitational-wave propagation and binary black holes population models (mass, redshift and spin distributions) with gravitational-wave data. It includes support for loading and analyzing data from the GWTC-3 catalog as well as for generating injections to evaluate selection effects, and features a module to run in parallel on clusters.
- Code site:
- https://github.com/CosmoStatGW/MGCosmoPop
- Used in:
- https://ui.adsabs.harvard.edu/abs/2022PhRvD.105f4030M
- Bibcode:
- 2022ascl.soft12003M
Preferred citation method:
https://ui.adsabs.harvard.edu/abs/2022PhRvD.105f4030M and a link to the Github repository https://github.com/CosmoStatGW/MGCosmoPop
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