Here you can download my latest presentation at the Cosmology School at the Canary Islands on Bayesian estimation of cosmological parameters with CosmoMC and MontePython, and here is a tutorial to get started with the cosmological code MontePython using your own laptop.
BOSS has presented their final galaxy clustering results! To celebrate it, I have made an animation representing thin redshift slices of the BOSS galaxy density distribution (smoothed with a Gaussian angular kernel of 1 degree to make it reminiscent of CMB maps). See it here.
CosmoMC tutorial from the 1st Mexican AstroCosmoStatistics School on Bayesian Inference for Cosmology:
CosmoMC patch (for Oct and Dec 2013 versions, built-in in current versions) to incorporate the Anderson et al. (2014) measurement of the anisotropic reconstructed BAO feature for both CMASS-DR11 and LOWZ-DR11 galaxy samples http://www.sdss3.org/science/boss_publications.php
CosmoMC chains used in the analysis of the correlation function of CMASS-DR12 and LOWZ-DR12 from the Baryon Oscillation Spectroscopic Survey (Cuesta et al. 2016, arXiv:1509.06371) click here. Note that this is a SDSS product, so if you use it, remember to include the proper acknowledgements
Slides from the course "Introduction to CosmoMC" held at Universidad de Granada, March 2016
Part I: Motivation & Basic concepts
Part II: Installation and Execution
Part III: Analysis - GetDist & GetDist GUI
Note: CosmoMC (code by Lewis and Bridle 2002) is a Markov Chain MonteCarlo code to sample a cosmological parameter space. It is available at the website http://cosmologist.info/cosmomc