3 papers
math.OC2026
On the Computational and Statistical Efficiency of the Empirical Maximum Entropy on the Mean Method
Matthew King-Roskamp, Gabriel Rioux, Rustum Choksi +1
The Maximum Entropy on the Mean (MEM) method provides a flexible computational framework for solving inverse problems by combining data fidelity with entropy-based regularization.…
cond-mat.str-el2025
Estimates of the dynamic structure factor for the finite temperature electron liquid via analytic continuation of path integral Monte Carlo data
Thomas Chuna, Nicholas Barnfield, Jan Vorberger +3
Understanding the dynamic properties of the uniform electron gas (UEG) is important for numerous applications ranging from semiconductor physics to exotic warm dense matter. In thi…
physics.comp-ph2025
Dual formulation of the maximum entropy method applied to analytic continuation of quantum Monte Carlo data
Thomas Chuna, Nicholas Barnfield, Tobias Dornheim +2
Many fields of physics use quantum Monte Carlo techniques, but struggle to estimate dynamic spectra via the analytic continuation of imaginary-time quantum Monte Carlo data. One of…