.. | ||
example | ||
julia_test_framework | ||
libLSS | ||
src | ||
README.md |
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.