A Monte Carlo model of the Dingo thermal neutron imaging beamline
dc.contributor.author | Jakubowski, K | en_AU |
dc.contributor.author | Charcon, A | en_AU |
dc.contributor.author | Tran, LT | en_AU |
dc.contributor.author | Stopic, A | en_AU |
dc.contributor.author | Garbe, U | en_AU |
dc.contributor.author | Bevitt, JJ | en_AU |
dc.contributor.author | Olsen, SR | en_AU |
dc.contributor.author | Franklin, DR | en_AU |
dc.contributor.author | Rosenfeld, AB | en_AU |
dc.contributor.author | Guatelli, S | en_AU |
dc.contributor.author | Safavi-Naeini, M | en_AU |
dc.date.accessioned | 2024-10-04T00:54:05Z | en_AU |
dc.date.available | 2024-10-04T00:54:05Z | en_AU |
dc.date.issued | 2023-12-01 | en_AU |
dc.date.statistics | 2024-10-02 | en_AU |
dc.description.abstract | In this study, we present a validated Geant4 Monte Carlo simulation model of the Dingo thermal neutron imaging beamline at the Australian Centre for Neutron Scattering. The model, constructed using CAD drawings of the entire beam transport path and shielding structures, is designed to precisely predict the in-beam neutron field at the position at the sample irradiation stage. The model’s performance was assessed by comparing simulation results to various experimental measurements, including planar thermal neutron distribution obtained in-beam using gold foil activation and BC-coated microdosimeters and the out-of-beam neutron spectra measured with Bonner spheres. The simulation results demonstrated that the predicted neutron fluence at the field’s centre is within 8.1% and 2.1% of the gold foil and BC-coated microdosimeter measurements, respectively. The logarithms of the ratios of average simulated to experimental fluences in the thermal (E 0.414 eV), epithermal (0.414 eV < E 11.7 keV) and fast (E 11.7 keV) spectral regions were approximately − 0.03 to + 0.1, − 0.2 to + 0.15, and − 0.4 to + 0.2, respectively. Furthermore, the predicted thermal, epithermal and fast neutron components in-beam at the sample stage position constituted approximately 18%, 64% and 18% of the total neutron fluence. © The Authors - Open Access Open Access This article is licensed under a Creative Commons Attribution 4.0 International. | en_AU |
dc.description.sponsorship | This research was undertaken with the support of Tesla high-performance computing cluster at ANSTO and by the Australian Government’s National Collaborative Research Infrastructure Strategy (NCRIS), with access to computational resources provided by the Gadi through the National Computational Merit Allocation Scheme. The authors wish to acknowledge the support of the University of Wollongong Matching Scholarship and the International Postgraduate Tuition Award, and the Australian Institute of Nuclear Science and Engineering (AINSE) Residential Student Scholarship (RSS). | en_AU |
dc.format.medium | Electronic | en_AU |
dc.identifier.articlenumber | 17415 | en_AU |
dc.identifier.citation | Jakubowski, K., Chacon, A., Tran, L. T., Stopic, A., Garbe, U., Bevitt, J., Olsen, S., Franklin, D. R., Rosenfeld, A., Guatelli, S., & Safavi-Naeini, M. (2023). A Monte Carlo model of the Dingo thermal neutron imaging beamline. Scientific Reports, 13(1), 17415. doi:10.1038/s41598-023-44035-4 | en_AU |
dc.identifier.issn | 2045-2322 | en_AU |
dc.identifier.issue | 1 | en_AU |
dc.identifier.journaltitle | Scientific Reports | en_AU |
dc.identifier.pagination | 17415- | en_AU |
dc.identifier.uri | https://doi.org/10.1038/s41598-023-44035-4 | en_AU |
dc.identifier.uri | https://apo.ansto.gov.au/handle/10238/15733 | en_AU |
dc.identifier.volume | 13 | en_AU |
dc.language | English | en_AU |
dc.language.iso | en | en_AU |
dc.publisher | Springer Nature | en_AU |
dc.subject | Neutrons | en_AU |
dc.subject | Monte Carlo Method | en_AU |
dc.subject | Shielding | en_AU |
dc.subject | Beams | en_AU |
dc.subject | Irradiation | en_AU |
dc.subject | Simulation | en_AU |
dc.subject | Neutron fluence | en_AU |
dc.subject | Measuring instruments | en_AU |
dc.subject | Bonner Sphere Spectrometers | en_AU |
dc.title | A Monte Carlo model of the Dingo thermal neutron imaging beamline | en_AU |
dc.type | Journal Article | en_AU |
dcterms.dateAccepted | 2023-10-03 | en_AU |