J
James Dyrda
Researcher at Nuclear Energy Agency
Publications - 6
Citations - 320
James Dyrda is an academic researcher from Nuclear Energy Agency. The author has contributed to research in topics: Nuclear data & Propagation of uncertainty. The author has an hindex of 4, co-authored 6 publications receiving 161 citations.
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The joint evaluated fission and fusion nuclear data library, JEFF-3.3
A. J. M. Plompen,Oscar Cabellos,C. De Saint Jean,M. Fleming,A. Algora,Massimo Angelone,Pascal Archier,Eric Bauge,O. Bersillon,A.I. Blokhin,F. Cantargi,A. Chebboubi,C.J. Diez,H. Duarte,E. Dupont,James Dyrda,B. Erasmus,Luca Fiorito,Ulrich Fischer,Davide Flammini,D. Foligno,Mark R. Gilbert,J.R. Granada,Wim Haeck,Franz-Josef Hambsch,Petter Helgesson,Stéphane Hilaire,I. Hill,Mathieu Hursin,Raphaelle Ichou,R. Jacqmin,B. Jansky,C. Jouanne,M.A. Kellett,D. H. Kim,H. I. Kim,I. Kodeli,Arjan J. Koning,A. Yu. Konobeyev,Stefan Kopecky,B. Kos,A. Krása,Luiz Leal,N. Leclaire,Pierre Leconte,Y. O. Lee,H. Leeb,Olivier Litaize,Mitja Majerle,J. I. Márquez Damián,F. Michel-Sendis,R.W. Mills,B. Morillon,Gilles Noguere,M. Pecchia,Sandro Pelloni,Pavel Pereslavtsev,R. J. Perry,D. Rochman,A. Röhrmoser,P. Romain,Pablo Romojaro,D. Roubtsov,Patrick Sauvan,Peter Schillebeeckx,K.-H. Schmidt,Olivier Serot,Stanislav Simakov,I. Sirakov,Henrik Sjöstrand,A. Stankovskiy,J. C. Sublet,Pierre Tamagno,Andrej Trkov,S. C. van der Marck,F. Alvarez-Velarde,Rosaria Villari,T. Ware,K. Yokoyama,Gašper Žerovnik +79 more
TL;DR: The JEFF-3.3 data library as mentioned in this paper is a joint evaluated fission and fusion nuclear data library 3.3 which includes new fission yields, prompt fission neutron spectra and average number of neutrons per fission.
Journal ArticleDOI
Nuclear Data Uncertainties for Typical LWR Fuel Assemblies and a Simple Reactor Core
Dimitri Rochman,O. Leray,Mathieu Hursin,Hakim Ferroukhi,Alexander Vasiliev,Alexander Aures,Friederike Bostelmann,Winfried Zwermann,Oscar Cabellos,C.J. Diez,James Dyrda,N. García-Herranz,E. Castro,S. C. van der Marck,Henrik Sjöstrand,A. Hernandez,Michael Fleming,J.-Ch. Sublet,L. Fiorito +18 more
TL;DR: The method of propagation of uncertainties is based on random sampling of nuclear data, either from covariance files or directly from basic parameters, to provide an insight on what can happen when calculating uncertainties and give some perspectives on the range of validity on these uncertainties.
Journal ArticleDOI
A comparison of uncertainty propagation techniques using NDaST: full, half or zero Monte Carlo?
TL;DR: In this article, the half Monte Carlo method (HMM) was used to estimate the sensitivity of k-effs to nuclear data perturbations, and the results were shown to be linear over a large range.
Journal ArticleDOI
New features and improvements in the NEA nuclear data tool suite
TL;DR: All of the most recent, major nuclear data libraries have been fully processed and incorporated, along with new visualisation features for covariances and sensitivities, an expanded set of reaction channel definitions, and new EXFOR data types defined by the NRDC.