Likelihood README

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anicola edited this page Jun 2, 2019 · 5 revisions

The MCMC sampling is done using CosmoHammer and it consists of three different parts:

run_CosmoHammer.py: central script to launch an MCMC run
hsc_core_module.py: computes theoretical power spectra for all tracers
hsc_like_module.py: takes theory spectra computed in hsc_core_module.py and computes likelihood

The run parameters can be passed and specified with yaml files. An example can be found in the hsc/config directory.

Steps to run MCMCs:

Install CosmoHammer: pip install cosmohammer
If you want to use MPI, also install mpi4py: pip install mpi4py
Then from the command line inside the LSSLike directory, run python hsc/run_CosmoHammer.py --path2config path/to/your/favorite/config.yaml