CosmoHammer: Cosmological parameter estimation with the MCMC Hammer ?
We analyse MCMC methods for cosmology regarding parallelisability and efficiency. We present the Python framework CosmoHammer for parallelised MCMC sampling. It enables us to estimate cosmological parameters on high performance clusters. To test the efficiency of CosmoHammer we use an elastic cloud computing environment.
cosmological parameter estimation cloud computing markov chain monte carlo methods