2 papers
physics.comp-ph2026
Compressed Sensing Methods for Memory Reduction in Monte Carlo Simulations
Ethan Lame, Camille Palmer, Todd Palmer +1
Monte Carlo simulations of neutronic systems are computationally intensive and demand significant memory resources for high-fidelity modeling. Compressed sensing enables accurate r…
physics.comp-ph2025
Interplay of Variance Reduction and Population Control in Monte Carlo Neutron Transport
Jordan Northrop, Ilham Variansyah, Todd Palmer +1
Monte Carlo methods are widely used for neutron transport simulations at least partly because of the accuracy they bring to the modeling of these problems. However, the computation…