21CMMC 1.0.0.dev2

Features

• Seamless integration with emcee-based MCMC.

• MCMC is easily extensible via the addition of different likelihoods using the same underlying data.

Documentation

See https://21CMMC.readthedocs.org.

Acknowledging

If you find 21CMMC useful in your research please cite at least one of the following (whichever is most suitable to you):

Bradley Greig and Andrei Mesinger, “21CMMC: an MCMC analysis tool enabling astrophysical parameter studies of the cosmic 21 cm signal”, Monthly Notices of the Royal Astronomical Society, Volume 449, Issue 4, p.4246-4263 (2015), https://doi.org/10.1093/mnras/stv571

Bradley Greig and Andrei Mesinger, “Simultaneously constraining the astrophysics of reionization and the epoch of heating with 21CMMC”, Monthly Notices of the Royal Astronomical Society, Volume 472, Issue 3, p.2651-2669 (2017), https://doi.org/10.1093/mnras/stx2118

Bradley Greig and Andrei Mesinger, “21CMMC with a 3D light-cone: the impact of the co-evolution approximation on the astrophysics of reionization and cosmic dawn”, Monthly Notices of the Royal Astronomical Society, Volume 477, Issue 3, p.3217-3229 (2018), https://doi.org/10.1093/mnras/sty796

Jaehong Park et al., “Inferring the astrophysics of reionization and cosmic dawn from galaxy luminosity functions and the 21-cm signal”, Monthly Notices of the Royal Astronomical Society, Volume 484, Issue 1, p.933-949 (2018), https://doi.org/10.1093/mnras/stz032

Changelog

v1.0.0dev

• More fleshed-out interface to cosmoHammer, with base classes abstracting some common patterns.

• New likelihoods and cores that are able to work on any data from the 21cmFAST pipeline.

• Better logging

• Better exception handling

• pip-installable

• Documentation

• Pipenv support

• Full code formatting applied