
This collaboration plans to carry out this inference using a Bayesian forward modeling approach, where we repeatedly sample a set of initial conditions, predict the observational consequences of that choice, compare to the real observations of galaxies and gas, and compute the likelihood, either explicitly or implicitly, thereby constructing the posterior distribution of the initial conditions.
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