Convergence for the Wang-Landau density of states

The Wang-Landau method of estimating the density of states g(E) has become a powerful tool in statistical mechanics. Here it is shown that the distribution of random walkers sampled using an estimated density of states can always be used to improve the estimate. Specifically, this can be done without resorting to an auxiliary modification factor f, which previously has been used to find g(E) self-consistently through a procedure that reduces f incrementally toward unity. This straightforward approach is validated for multiple, independent random walkers.