Measuring and Simulating Neutron Capture γ-Ray Spectra using the RPI γ-Ray Multiplicity Detector
Accurate modeling of neutron induced capture γ-ray production is essential for many applications such as reactor and shielding calculations, understanding γ-ray heating in critical systems, and non-proliferation efforts. To determine the accuracy of nuclear data evaluations and simulation tools used...
Saved in:
| Main Authors: | , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
|
| Series: | EPJ Web of Conferences |
| Online Access: | https://www.epj-conferences.org/articles/epjconf/pdf/2025/14/epjconf_cgs17_05006.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Accurate modeling of neutron induced capture γ-ray production is essential for many applications such as reactor and shielding calculations, understanding γ-ray heating in critical systems, and non-proliferation efforts. To determine the accuracy of nuclear data evaluations and simulation tools used to transport capture γ-cascades, the 16-segment γ-ray multiplicity NaI(T1) detector at the Rensselaer Polytechnic Institute Gaerttner Linear Accelerator Center has been upgraded to measure neutron capture γ-ray spectra and multiplicity as a function of energy. Several samples including Fe, Mn, Co, Ta, and 235,238U have been measured using the time-of-flight method for incident neutrons in the low-energy region from 0.01 – 100 eV. A new method has been developed to model the event-by-event capture γ-ray cascade energy deposition in the detector array using DICEBOX and a modified version of MCNP-6.2. The method has been validated using 22Na and 60Co coincidence sources and the well-studied thermal 56Fe(n,γ) γ-ray intensities. Additional measured samples will be used for further validation and analysis. The new modeling capabilities coupled with measured γ-ray spectra can be used to test transport codes and nuclear data evaluations of neutron capture γ-rays used to simulate experimental results. |
|---|---|
| ISSN: | 2100-014X |