Application of Flat Histogram Methods to Extract the Long Imaginary-time Behavior in Diagrammatic Monte Carlo

We demonstrate that using flat histogram methods we can extract the imaginary-time behavior of the Green's function G from diagrammatic Monte Carlo simulations very accurately even when G changes by many orders of magnitude.