CosmoSIS cosmological parameter estimation skill for MCMC sampling and likelihood analysis
name cosmosis-parameter-estimator description CosmoSIS cosmological parameter estimation skill for MCMC sampling and likelihood analysis allowed-tools ["Bash","Read","Write","Edit","Glob","Grep"] metadata {"specialization":"physics","domain":"science","category":"cosmology","phase":6} CosmoSIS Parameter Estimator Purpose Provides expert guidance on CosmoSIS for cosmological parameter estimation, including modular likelihood construction and MCMC sampling. Capabilities Modular likelihood construction Multiple sampler support (emcee, multinest, polychord) Prior specification Chain analysis and diagnostics Plotting and visualization Pipeline construction Usage Guidelines Pipeline Setup : Configure modular analysis pipeline Likelihoods : Build likelihood functions from data Priors : Specify parameter priors Sampling : Run MCMC with appropriate sampler Analysis : Analyze chains and compute posteriors Tools/Libraries CosmoSIS emcee GetDist