NSR Query Results

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NSR database version of April 27, 2024.

Search: Author = W.Haeck

Found 6 matches.

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2021HE28      Ann.Nucl.Energy 163, 108494 (2021)

M.Herman, D.A.Brown, R.Capote, M.B.Chadwick, W.Haeck, J.D.Hutchinson, T.Kawano, D.Neudecker, G.Palmiotti, M.Salvatores, P.Talou, A.Trkov, M.C.White

Infrastructure for the new paradigm of nuclear reaction evaluation

NUCLEAR REACTIONS ¹⁰⁵Pd(n, γ), ²³⁵U, ²³⁹Pu(n, F), E<20 MeV; analyzed available data; deduced pilot assimilation project needs.

doi: 10.1016/j.anucene.2021.108494
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2021NE02      Ann.Nucl.Energy 159, 108345(2021)

D.Neudecker, O.Cabellos, A.R.Clark, W.Haeck, R.Capote, A.Trkov, M.C.White, M.E.Rising

Which nuclear data can be validated with LLNL pulsed-sphere experiments?

doi: 10.1016/j.anucene.2021.108345
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2021NE06      Phys.Rev. C 104, 034611 (2021)

D.Neudecker, O.Cabellos, A.R.Clark, M.J.Grosskopf, W.Haeck, M.W.Herman, J.Hutchinson, T.Kawano, A.E.Lovell, I.Stetcu, P.Talou, S.Vander Wiel

Informing nuclear physics via machine learning methods with differential and integral experiments

NUCLEAR REACTIONS ²³⁸U(n, n'), E=14 MeV; analyzed pulsed-sphere neutron-leakage experimental spectrum obtained at LLNL facility, and compared with evaluated data in ENDF/B-VIII.0. ²⁴¹Pu(n, F), E=0.1-1.0, 14 MeV; analyzed differential and integral experimental data for fission σ(E) by combining experimental σ data, nuclear-physics theory and neutron-transport simulations of the experiments using machine learning (ML) random forest algorithm and expert judgment. Relevance to improvement of description of nuclear-physics observables in particular application areas.

doi: 10.1103/PhysRevC.104.034611
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2020NE07      Nucl.Data Sheets 167, 36 (2020)

D.Neudecker, M.Grosskopf, M.Herman, W.Haeck, P.Grechanuk, S.Vander Wiel, M.E.Rising, A.C.Kahler, N.Sly, P.Talou

Enhancing nuclear data validation analysis by using machine learning

doi: 10.1016/j.nds.2020.07.002
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2020PL02      Eur.Phys.J. A 56, 181 (2020)

A.J.M.Plompen, O.Cabellos, C.De Saint Jean, M.Fleming, A.Algora, M.Angelone, P.Archier, E.Bauge, O.Bersillon, A.Blokhin, F.Cantargi, A.Chebboubi, C.Diez, H.Duarte, E.Dupont, J.Dyrda, B.Erasmus, L.Fiorito, U.Fischer, D.Flammini, D.Foligno, M.R.Gilbert, J.R.Granada, W.Haeck, F.-J.Hambsch, P.Helgesson, S.Hilaire, I.Hill, M.Hursin, R.Ichou, R.Jacqmin, B.Jansky, C.Jouanne, M.A.Kellett, D.H.Kim, H.I.Kim, I.Kodeli, A.J.Koning, A.Yu.Konobeyev, S.Kopecky, B.Kos, A.Krasa, L.C.Leal, N.Leclaire, P.Leconte, Y.O.Lee, H.Leeb, O.Litaize, M.Majerle, J.I.Marquez Damian, F.Michel-Sendis, R.W.Mills, B.Morillon, G.Noguere, M.Pecchia, S.Pelloni, P.Pereslavtsev, R.J.Perry, D.Rochman, A.Rohrmoser, P.Romain, P.Romojaro, D.Roubtsov, P.Sauvan, P.Schillebeeckx, K.H.Schmidt, O.Serot, S.Simakov, I.Sirakov, H.Sjostrand, A.Stankovskiy, J.C.Sublet, P.Tamagno, A.Trkov, S.van der Marck, F.Alvarez-Velarde, R.Villari, T.C.Ware, K.Yokoyama, G.Zerovnik

The joint evaluated fission and fusion nuclear data library, JEFF-3.3

doi: 10.1140/epja/s10050-020-00141-9
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2014FE07      Nucl.Data Sheets 118, 491 (2014)

G.Ferran, W.Haeck, M.Gonin

Development Progress of the GAIA Nuclear Data Processing Software

doi: 10.1016/j.nds.2014.04.115
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