3 papers
hep-lat2020
Towards Novel Insights in Lattice Field Theory with Explainable Machine Learning
Stefan Bluecher, Lukas Kades, Jan M. Pawlowski +2
Machine learning has the potential to aid our understanding of phase structures in lattice quantum field theories through the statistical analysis of Monte Carlo samples. Available…
hep-lat2019
Reweighting Lefschetz Thimbles
Stefan Bluecher, Jan M. Pawlowski, Manuel Scherzer +4
We present a novel reweighting technique to calculate the relative weights in the Lefschetz thimble decomposition of a path integral. Our method is put to work using a one-l…
hep-lat2018
Reweighting Lefschetz Thimbles
Stefan Bluecher, Jan M. Pawlowski, Manuel Scherzer +4
One of the main challenges in simulations on Lefschetz thimbles is the computation of the relative weights of contributing thimbles. In this paper we propose a solution to that pro…