An MCNP Course for Nuclear Safeguards Practitioners

Year
2022
Author(s)
Mara Watson - Los Alamos National Laboratory
Joel Kulesza - Los Alamos National Laboratory
Avery Grieve - Los Alamos National Laboratory
Michael Rising - Los Alamos National Laboratory
Grace Long - Los Alamos National Laboratory
Martyn Swinhoe - Los Alamos National Laboratory
Garrett McMath - Los Alamos National Laboratory
Alexis Trahan - Los Alamos National Laboratory
Abstract

The Monte Carlo N-Particle (MCNP) code is a vital simulation tool for nuclear safeguards. An MCNP course was recently developed specifically for safeguards practitioners at Los Alamos National Laboratory. The first iterations of the course were held both in-person and virtually in the first half of 2022. Topics covered in the courses included a review of MCNP basic concepts, advanced geometry, material definitions and nuclear libraries, fixed source definitions, and advanced tallies. Examples relevant to non-destructive assay (NDA) measurements were assembled, executed, and examined in real time by course participants throughout lectures for each topic area. A capstone exercise concluded the course wherein participants optimized an NDA detection system using the tools introduced in the course. Participant feedback was collected to improve the material and structure of the course. An overview of material covered in the course and a summary of participant feedback will be presented.