Abstract: CosmoHammer is a Python framework for the estimation of cosmological parameters. The software embeds the Python package emcee by Foreman-Mackey et al. (2012) and gives the user the possibility to plug in modules for the computation of any desired likelihood. The major goal of the software is to reduce the complexity when one wants to extend or replace the existing computation by modules which fit the user's needs as well as to provide the possibility to easily use large scale computing environments. CosmoHammer can efficiently distribute the MCMC sampling over thousands of cores on modern cloud computing infrastructure.
Credit: Akeret, Joël; Seehars, Sebastian; Amara, Adam; Refregier, Alexandre; Csillaghy, André
Preferred citation method: http://adsabs.harvard.edu/abs/2013A&C.....2...27A
Reason: Updated code entry.
we’re happy to announce a new release of the CosmoHammer software package.
In the new version we provide better documentation, tutorials and helpful background information as well as a wealth of new features, e.g:
- enhanced exception handling,
- particle swarm optimisation,
- support for PyCamb,
- and more.
We invite you to visit our improved website under: http://www.astro.ethz.ch/refregier/rese ... osmohammer
In case you have any questions regarding CosmoHammer, feel free to contact us.
Cosmology Research Group, ETHZ
To upgrade to the newest version, please do:
$ pip install cosmohammer --user --upgrade
Slight changes have been made to the package structure; these require adaptions to the import statements. More information is available on CosmoHammer's new website at RTD: http://cosmohammer.readthedocs.org.
The link in the ASCL record has been changed from http://www.cosmology.ethz.ch/research/s ... ammer.html to the links listed above.