Normalised mean (left panel) and variance (right panel) of each parameter in our model, given the DANCE DR2 data set as functions of iterations in the MCMC. Each parameter is scaled using the mean and variance of its corresponding ensemble of particles positions at the last iteration. Red lines show one and two sigma levels of these normalisation values. These figures depict the evolution of the Markov Chains from the original values provided by the PSO to the convergence. This later shown by the last ∼200 iterations in which the mean and variances are within the two-sigma levels. We notice that some parameters evolve (within the MCMC) in groups, which is related to their correlation.