| Zugriffsnummer | 34893 |
| Dokumenttyp | Konferenzartikel in Zeitschrift |
| Peer Review | mit Peer Review |
| Sprache | Englisch |
| Titel | Reconstruction of material elemental composition using fast neutron resonance radiography |
| Autor(in); Institution |
Mor, Ilan; Soreq NRC, Yavne, ISRAEL
Dangendorf, Volker; 6.4, Ionen- und Neutronenstrahlung, PTB-Braunschweig
Reginatto, Marcel; 6.4, Ionen- und Neutronenstrahlung, PTB-Braunschweig
Kaufmann, Frank; 6.4, Ionen- und Neutronenstrahlung, PTB-Braunschweig
Vartsky, David; Soreq NRC, Yavne, ISRAEL
Brandis, Michal; Soreq NRC, Yavne, ISRAEL
Bar, Doron; Soreq NRC, Yavne, ISRAEL
Goldberg, Mark B.; Soreq NRC, Yavne, ISRAEL
|
| Quelle/Jahr | Proceedings of the 10th World Conference on Neutron Radiography (WCNR-10). Physics Procedia: 69 (2015), 304 - 313 |
| ISSN | 1875-3892 (ONLINE) |
| DOI | |
| Verlag | Amsterdam [u.a.]: Elsevier |
| Konferenzangaben | 10th World Conference on Nuclear Radiography, Grindelwald, 05-10, October, 2014, Switzerland |
| Freie Schlagworte | Pulsed Fast Neutron Transmission Spectroscopy (PFNTS) ; fast neutrons ; resonance radiography ; Bayesian analysis ; neutron imaging |
| Zusammenfassung | Fast neutron resonance radiography (FNRR) is an imaging method that exploits characteristic cross-section structures (peaks and troughs) of certain elements in the energy-range of 1-10 MeV to identify materials in a large volume object. In FNRR, the neutron energy spectrum transmitted through an object carries information about the elemental composition of that object. The principal elements present in most explosives are: carbon, oxygen, nitrogen and hydrogen. Explosives are characterized by high fractions of nitrogen and oxygen as well as low fractions of carbon and hydrogen compared to benign materials. Detection of explosives in cargo employing FNRR is based on determination of the local areal densities of these four elements and their ratios. In our measurements, the transmission spectrum is usually divided in 100 - 500 energy bins, representing 100 - 500 linear equations containing four unknown areal densities of HCNO. This is an overdetermined problem, which allows us to derive not only the four expectation values of their areal densities but their probability distribution as well. For this purpose, a model was formulated and implemented within a software package which performs Bayesian analysis of complex statistical models using Markov chain Monte-Carlo (MCMC). This model was tested successfully both on simulated and experimental data. This work will describe the model and the outcome of elemental ratios reconstruction for several materials from experimental data. |
| Kostenfreier Zugang | Open Access Gold |
| Rechteinformation | CC BY-NC-ND 4.0 ; Creative Commons Attribution NonCommercial NoDerivatives 4.0 License |
Zitierung
Mor, I., Dangendorf, V., Reginatto, M., Kaufmann, F., Vartsky, D., Brandis, M., Bar, D., & Goldberg, M. B. (2015). Reconstruction of material elemental composition using fast neutron resonance radiography. Physics Procedia, 69, 304–313. https://doi.org/10.1016/j.phpro.2015.07.043