7 papers · 1 filter
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…
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…
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…
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…
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…
Implicit Collision Multiplicity Adjustment for Efficient Monte Carlo Transport Simulation of Reactivity Excursion
Ilham Variansyah, Ryan G. McClarren, Todd S. Palmer
We present an implicit collision method with on-the-fly multiplicity adjustment based on the forward weight window methodology for efficient Dynamic Monte Carlo (MC) simulation of…