| Issue |
EPJ Web Conf.
Volume 302, 2024
Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo (SNA + MC 2024)
|
|
|---|---|---|
| Article Number | 07015 | |
| Number of page(s) | 10 | |
| Section | High Performance Computing for Nuclear Data Processing – Benchmarking | |
| DOI | https://doi.org/10.1051/epjconf/202430207015 | |
| Published online | 15 October 2024 | |
https://doi.org/10.1051/epjconf/202430207015
A Compact Model for Unresolved Resonance Region Cross Sections
1 Massachusetts Institute of Technology
2 Aalo Atomics
3 Los Alamos National Laboratory
* e-mail: gavin@aalo.com
Published online: 15 October 2024
For decades, the probability table technique has been used to model the behavior of neutron cross sections in the unresolved resonance region with a stochastic approach. Early work from Hwang hinted at the possibility of a universal probability distribution to fit the URR cross section distribution. In this work we present a solution to Hwang’s problem: the normal inverse Gaussian distribution fits the probabilistic behavior of the total cross section almost perfectly for the most important nuclides, both in asymptotic behavior and around the more probable regions.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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