emcee MCMC Sampler Purpose Provides expert guidance on emcee for Bayesian parameter estimation in physics, including ensemble sampling and convergence diagnostics. Capabilities - Affine-invariant ensemble sampling - Parallel tempering support - Autocorrelation analysis - Convergence diagnostics - Prior/likelihood specification - Chain visualization Usage Guidelines 1. Model Setup : Define log-probability function 2. Initialization : Initialize walkers appropriately 3. Sampling : Run ensemble sampler 4. Convergence : Check autocorrelation and convergence 5. Analysis : Extract posterior distrib…