Investigation of evaluated nuclear data in the prediction of inherent neutron sources
Sigtryggur Hauksson, Ilaria Casalbore, Daniele Tomatis, Nunzio Burgio

TL;DR
This paper critically evaluates and updates nuclear data and modeling assumptions in SOURCES for predicting inherent neutron sources, highlighting areas for improvement and validating neutron yield and spectrum predictions.
Contribution
It identifies necessary updates to alpha emission lines, compares stopping power data sets, and improves modeling of neutron spectra from spontaneous fission and $( abla, n)$ reactions.
Findings
Updated alpha emission lines for $^{235}\mathrm{U}$ are recommended.
Energy and angular straggling effects are negligible in alpha particle slowing down.
SOURCES reliably predicts neutron yield but spectrum discrepancies exist.
Abstract
Quantifying inherent neutron sources in matter, particularly reactions and spontaneous fission, is important in nuclear engineering and other fields. The SOURCES code is a common tool for calculating the yield and spectrum of such neutrons. This paper critically examines all modelling assumptions and nuclear data in SOURCES and proposes alternative approaches where applicable. For reactions, we show that the alpha emission lines for should be updated. Furthermore, we compare four different stopping power data sets for alpha particles slowing down and propose measurements to constrain mixed oxide nuclear fuel data. We use the computer code PHITS to show that energy and angular straggling during the slowing down of alpha particles in the material of interest is unimportant. Then, we compare the cross section and emission spectrum of $(\alpha,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
