collaborators

7 papers

physics.comp-ph2026

Hybrid Delta Tracking Schemes Using a Track-Length Estimator

Joanna Piper Morgan, Ilham Variansyah, Kayla B. Clements +2

In Monte Carlo radiation transport calculations, Woodcock-delta tracking is a common alternative to the more popular surface tracking technique. In this work we introduce a delta-t…

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…

physics.comp-ph2025

Performance Portable Monte Carlo Neutron Transport in MCDC via Numba

Joanna Piper Morgan, Ilham Variansyah, Braxton Cuneo +2

Finding a software engineering approach that allows for portability, rapid development, and open collaboration for high-performance computing on GPUs and CPUs is a challenge. We im…

physics.comp-ph2025

One-Cell Inversion for Solving Higher-Order Time-Dependent Radiation Transport on GPUs

Joanna Piper Morgan, Ilham Variansyah, Todd S. Palmer +1

To find deterministic solutions to the transient discrete-ordinates neutron-transport equation, source iterations (SI) are typically used to lag the scattering (and fission) source…

physics.comp-ph2025

Derivative Source Method for Monte Carlo Transport Calculation of Sensitivities to Material Densities and Dimensions

Ilham Variansyah, Ryan G. McClarren, Todd S. Palmer

The Derivative Source Method (DSM) takes derivatives of a particle transport equation with respect to selected parameters and solves them via the standard Monte Carlo random walk s…