NSR Query Results


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NSR database version of May 24, 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
Citations: PlumX Metrics


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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