borg_public/extra/hmclet/README.md
2023-05-29 10:41:03 +02:00

1.2 KiB

README

This is HMCLET: a small extra HMC framework for ARES to allow sampling a bunch of model parameters together. It provides a self calibration step to estimate the masses for the HMC.

What is this repository for?

  • Quick summary
  • Version

How do I get set up?

To include HMCLET please do a git clone of this repository in the extra/ subfolder of ARES. For example:

cd $ARES/extra
git clone git@bitbucket.org:bayesian_lss_team/hmclet.git hmclet

Finally you can go to your build directory run cmake . to refresh the detected modules and run "make" again to finish the building with HMClet included.

You can run libLSS/tests/test_hmclet to check that no error is triggered and verify the content of "test_sample.h5". It must contain a chain with 2 parameters for which the first one oscillates around 1 with a variance of 10, and the other oscillates around 4 with a variance of 2.

Contribution guidelines

You can submit pull requests to the BLSS team admin.

Who do I talk to?

Guilhem Lavaux or Jens Jasche. Check our website and the wiki.