Simran Singh

Testing machine-learned distributions against Monte Carlo data for the QCD chiral phase transition

A bstract We demonstrate that conditional Masked Autoregressive Flows constitute a flexible interpolation tool for lattice QCD observables, conditioned on bare lattice parameters. As a benchmark, we use the chiral phase structure of QCD with five degenerate light quark flavours,...