| Title |
Anomalies in the Charge Yields of Fission Fragments from the U(n,f)238 Reaction
|
|---|---|
| Published in |
Physical Review Letters, June 2017
|
| DOI | 10.1103/physrevlett.118.222501 |
| Pubmed ID | |
| Authors |
J N Wilson, M Lebois, L Qi, P Amador-Celdran, D Bleuel, J A Briz, R Carroll, W Catford, H De Witte, D T Doherty, R Eloirdi, G Georgiev, A Gottardo, A Goasduff, K Hadyńska-Klęk, K Hauschild, H Hess, V Ingeberg, T Konstantinopoulos, J Ljungvall, A Lopez-Martens, G Lorusso, R Lozeva, R Lutter, P Marini, I Matea, T Materna, L Mathieu, A Oberstedt, S Oberstedt, S Panebianco, Zs Podolyák, A Porta, P H Regan, P Reiter, K Rezynkina, S J Rose, E Sahin, M Seidlitz, O Serot, R Shearman, B Siebeck, S Siem, A G Smith, G M Tveten, D Verney, N Warr, F Zeiser, M Zielinska |
| Abstract |
Fast-neutron-induced fission of ^{238}U at an energy just above the fission threshold is studied with a novel technique which involves the coupling of a high-efficiency γ-ray spectrometer (MINIBALL) to an inverse-kinematics neutron source (LICORNE) to extract charge yields of fission fragments via γ-γ coincidence spectroscopy. Experimental data and fission models are compared and found to be in reasonable agreement for many nuclei; however, significant discrepancies of up to 600% are observed, particularly for isotopes of Sn and Mo. This indicates that these models significantly overestimate the standard 1 fission mode and suggests that spherical shell effects in the nascent fission fragments are less important for low-energy fast-neutron-induced fission than for thermal neutron-induced fission. This has consequences for understanding and modeling the fission process, for experimental nuclear structure studies of the most neutron-rich nuclei, for future energy applications (e.g., Generation IV reactors which use fast-neutron spectra), and for the reactor antineutrino anomaly. |
Login to access the Attention Digest and the Sentiment Analysis related to this output.
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 46 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 41% |
| Student > Ph. D. Student | 7 | 15% |
| Professor | 6 | 13% |
| Student > Master | 3 | 7% |
| Student > Bachelor | 2 | 4% |
| Other | 1 | 2% |
| Unknown | 8 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 25 | 54% |
| Energy | 3 | 7% |
| Engineering | 2 | 4% |
| Arts and Humanities | 1 | 2% |
| Psychology | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 12 | 26% |