| Zugriffsnummer | 28140 |
| Dokumenttyp | Konferenzartikel |
| Peer Review | unbekannt |
| Sprache | Englisch |
| Titel | Neutron spectrometry at high-energy accelerator facilities: a Bayesian approach using entropic priors |
| Autor(in); Institution |
Reginatto, Marcel; 6.5, Neutronenstrahlung, PTB-Braunschweig
|
| Quelle/Jahr | Bayesian interference and maximum entropy methods in science and engineering:(2012), 322 - 329 |
| Schriftenreihe | AIP conference proceedings: 1443 |
| Herausgeber(in) |
Goyal, Philip
|
| ISBN | 978-0-7354-1039-8 |
| DOI | |
| Verlag | Melville, New York: American Institute of Physics |
| Konferenzangaben | MaxEnt2011, 31st International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Waterloo, 10-15, July, 2011, Canada |
| Klassifikationscode | PACS: 02.50.Cw ; PACS: 29.30.Hs ; PACS: 29.85.Fj |
| Freie Schlagworte | Neutron spectrometry ; Neutron dosimetry ; Bayesian parameter estimation |
| Zusammenfassung | Extended-range Bonner sphere spectrometers are widely used for radiation dosimetry at high-energy accelerators, where the main contributor to the radiation dose is the neutron component. However, they typically provide a very limited amount of information and have poor resolving power. The data analysis presents difficulties because it requires solving an inverse problem that is highly under-determined. One approach to solving the inverse problem is to use a parameterized model of the spectrum and Bayesian parameter estimation. This approach has the advantage of providing rigorous estimates of uncertainties. The space of solutions, however, is limited by the model, which may not be general enough to account for all the relevant structure that may be present in the neutron energy spectrum. The aim of this work is to examine a generalization using entropic priors which allows for a larger space of solutions. The method has been tested using simulated data that model measurements made in neutron fields behind shielding at high-energy accelerators. |
Zitierung
Reginatto, M. (2012). Neutron spectrometry at high-energy accelerator facilities: a Bayesian approach using entropic priors. MaxEnt2011, 31st International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Waterloo, 10-15, July, 2011, Canada. https://doi.org/10.1063/1.3703650