Visualization as a tool for understanding QCD evolution algorithms

In this paper we present a project of visualizing topological charge in Lattice QCD in order to understand its evolution under the Markov Chain Monte Carlo algorithms and how to maximize its equilibration. Lattice QCD is a very computationally expensive technology for computing properties of composite particles from a few fundamental parameters such as quark masses. Our research plays an important role in validating these computations by showing that the autocorrelation length is small and it can eventually lead to even more efficient algorithms.