Nuclear data evaluation methodology including estimates of covariances
EPJ Web of Conferences, 8 (2010) 04001
Published online: 2010-10-28
Articles citing this article
The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Cited article:
This article has been cited by the following article(s):
Optimization of the prompt fission neutron spectra of $$^{239}$$Pu(n,f) via criticality benchmarking
Jia-Hao Chen, Bo Yang, Qing-Gang Jia, Rui Li, Wen-Di Chen, Hai-Rui Guo, Wei-Li Sun and Tao YeNuclear Science and Techniques 36 (9) (2025)
https://doi.org/10.1007/s41365-025-01724-1
Predictions for the ( n,2n ) reaction cross section based on a Bayesian neural network approach
W. F. Li, L. L. Liu, Z. M. Niu, Y. F. Niu and X. L. HuangPhysical Review C 109 (4) (2024)
https://doi.org/10.1103/PhysRevC.109.044616
Comprehensive analysis of uncertainty quantification for the 58Ni(n, p)58Co reaction cross section*
Mahesh Choudhary, Aman Sharma, Namrata Singh, Mahima Upadhyay, Punit Dubey, A. Gandhi, Akash Hingu, G Mishra, Sukanya De, L. S. Danu, Ajay Kumar, R. G. Thomas, Saurav Sood, Sajin Prasad, S. Mukherjee, I. N. Ruskov, Yu. N. Kopatch and A. KumarChinese Physics C 48 (9) 094104 (2024)
https://doi.org/10.1088/1674-1137/ad5662
Normalization of ToF (n,f) Measurements in Fissile Targets: Microscopic cross-section integrals
I. Durán, R. Capote and P. CabanelasNuclear Data Sheets 193 95 (2024)
https://doi.org/10.1016/j.nds.2024.01.004
Evaluation of neutron cross sections of 48Ti based on the Unified-Monte-Carlo-B method*
Hou-Qiong 候琼 Xia 夏, Rui-Rui 瑞瑞 Xu 续, Ping 萍 Liu 刘, Roberto Capote, Yuan 源 Tian 田, Xi 曦 Tao 陶, Xiao-Fei 小飞 Wu 吴, Yue 玥 Zhang 张, Zhi-Gang 智刚 Ge 葛, Neng-Chuan 能川 Shu 舒 and Song 松 Feng 冯Chinese Physics C 48 (7) 074101 (2024)
https://doi.org/10.1088/1674-1137/ad432c
Evaluation of Neutron Cross-Section Data Using Gaussian Mixture Model and Digital Filter
Tejashree S. Phatak, Jayalekshmi Nair, Sangeetha Prasanna Ram and B. J. RoyNuclear Science and Engineering 198 (8) 1583 (2024)
https://doi.org/10.1080/00295639.2023.2259748
Why trust nuclear data evaluations with Bayesian networks
Georg Schnabel, Roberto Capote, Daniel L. Aldama, et al.EPJ Web of Conferences 284 12004 (2023)
https://doi.org/10.1051/epjconf/202328412004
Experimental spectrum averaged cross sections (SACS) in 252Cf(sf) neutron field and its impact on the evaluation of neutron standards
R. Capote, G. Schnabel, A.D. Carlson, et al.EPJ Web of Conferences 281 00027 (2023)
https://doi.org/10.1051/epjconf/202328100027
Optical potentials for the rare-isotope beam era
C Hebborn, F M Nunes, G Potel, et al.Journal of Physics G: Nuclear and Particle Physics 50 (6) 060501 (2023)
https://doi.org/10.1088/1361-6471/acc348
Covariance evaluation of neutron cross sections in CENDL
Ruirui Xu, Zhigang Ge, Yuan Tian, et al.EPJ Web of Conferences 281 00029 (2023)
https://doi.org/10.1051/epjconf/202328100029
Progress in the Evaluation and Validation of n+56,57Fe Cross Sections
A. Trkov, R. Capote, D. Bernard, et al.EPJ Web of Conferences 284 12002 (2023)
https://doi.org/10.1051/epjconf/202328412002
Colloquium : Machine learning in nuclear physics
Amber Boehnlein, Markus Diefenthaler, Nobuo Sato, et al.Reviews of Modern Physics 94 (3) (2022)
https://doi.org/10.1103/RevModPhys.94.031003
Deterministic sampling approach for the propagation of uncertainties in nuclear reaction models
Aman Sharma, A. Gandhi and Ajay KumarPhysical Review C 106 (4) (2022)
https://doi.org/10.1103/PhysRevC.106.L041601
Application of JADE V&V capabilities to the new FENDL v3.2 beta release
Davide Laghi, Marco Fabbri, Lorenzo Isolan, et al.Nuclear Fusion 61 (11) 116073 (2021)
https://doi.org/10.1088/1741-4326/ac121a
Simulation of proton–neutron collisions in inverse kinematics and its possible application
Bi-Lu Li, Gang-Lin Yu and Shi-Fei ShenNuclear Science and Techniques 32 (4) (2021)
https://doi.org/10.1007/s41365-021-00877-z
Progress on the reevaluation and validation of the n+233U neutron cross sections
Marco T. Pigni, Roberto Capote and Andrej TrkovAnnals of Nuclear Energy 163 108595 (2021)
https://doi.org/10.1016/j.anucene.2021.108595
WPEC Subgroup 44 computational Inter-comparison exercise on correlations in nuclear data libraries
Vladimir Sobes, Cyrille de Saint Jean, Dimitri Rochman, et al.Annals of Nuclear Energy 164 108605 (2021)
https://doi.org/10.1016/j.anucene.2021.108605
Conception and Software Implementation of a Nuclear Data Evaluation Pipeline
G. Schnabel, H. Sjöstrand, J. Hansson, et al.Nuclear Data Sheets 173 239 (2021)
https://doi.org/10.1016/j.nds.2021.04.007
Infrastructure for the new paradigm of nuclear reaction evaluation
M. Herman, D.A. Brown, R. Capote, et al.Annals of Nuclear Energy 163 108494 (2021)
https://doi.org/10.1016/j.anucene.2021.108494
Unrecognized Sources of Uncertainties (USU) in Experimental Nuclear Data
R. Capote, S. Badikov, A.D. Carlson, et al.Nuclear Data Sheets 163 191 (2020)
https://doi.org/10.1016/j.nds.2019.12.004
IRDFF-II: A New Neutron Metrology Library
A. Trkov, P.J. Griffin, S.P. Simakov, et al.Nuclear Data Sheets 163 1 (2020)
https://doi.org/10.1016/j.nds.2019.12.001
The Los Alamos fission yield evaluation pipeline
M. R. Mumpower, M. Verriere, A. E. Lovell, et al.EPJ Web of Conferences 242 05002 (2020)
https://doi.org/10.1051/epjconf/202024205002
Evaluation of the Prompt Fission Gamma Properties for Neutron Induced Fission of 235,238U and 239Pu
I. Stetcu, M.B. Chadwick, T. Kawano, et al.Nuclear Data Sheets 163 261 (2020)
https://doi.org/10.1016/j.nds.2019.12.007
A Microscopic Theory of Fission Dynamics Based on the Generator Coordinate Method
Walid Younes, Daniel Marc Gogny and Jean-François BergerLecture Notes in Physics, A Microscopic Theory of Fission Dynamics Based on the Generator Coordinate Method 950 213 (2019)
https://doi.org/10.1007/978-3-030-04424-4_6
Recommended Nuclear Data for the Production of Selected Therapeutic Radionuclides
J.W. Engle, A.V. Ignatyuk, R. Capote, et al.Nuclear Data Sheets 155 56 (2019)
https://doi.org/10.1016/j.nds.2019.01.003
Recommended nuclear data for medical radioisotope production: diagnostic gamma emitters
F. T. Tárkányi, A. V. Ignatyuk, A. Hermanne, et al.Journal of Radioanalytical and Nuclear Chemistry 319 (2) 487 (2019)
https://doi.org/10.1007/s10967-018-6142-4
105 (2018)
https://doi.org/10.1520/STP160820170087
IAEA CIELO Evaluation of Neutron-induced Reactions on 235 U and 238 U Targets
R. Capote, A. Trkov, M. Sin, et al.Nuclear Data Sheets 148 254 (2018)
https://doi.org/10.1016/j.nds.2018.02.005
1 (2017)
https://doi.org/10.1109/SPICES.2017.8091351
The TENDL library: Hope, reality and future
D. Rochman, A.J. Koning, J.Ch. Sublet, et al.EPJ Web of Conferences 146 02006 (2017)
https://doi.org/10.1051/epjconf/201714602006
A modified Generalized Least Squares method for large scale nuclear data evaluation
Georg Schnabel and Helmut LeebNuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 841 87 (2017)
https://doi.org/10.1016/j.nima.2016.10.006
Sampling of systematic errors to estimate likelihood weights in nuclear data uncertainty propagation
P. Helgesson, H. Sjöstrand, A.J. Koning, et al.Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 807 137 (2016)
https://doi.org/10.1016/j.nima.2015.10.024
Prompt Fission Neutron Spectra of Actinides
R. Capote, Y.-J. Chen, F.-J. Hambsch, et al.Nuclear Data Sheets 131 1 (2016)
https://doi.org/10.1016/j.nds.2015.12.002
Thoughts on Sensitivity Analysis and Uncertainty Propagation Methods with Respect to the Prompt Fission Neutron Spectrum Impact on Critical Assemblies
M.E. RisingNuclear Data Sheets 123 109 (2015)
https://doi.org/10.1016/j.nds.2014.12.019
Uncertainties of mass extrapolations in Hartree-Fock-Bogoliubov mass models
S. Goriely and R. CapotePhysical Review C 89 (5) (2014)
https://doi.org/10.1103/PhysRevC.89.054318
From flatness to steepness: Updating TALYS covariances with experimental information
D. Rochman, A.J. Koning, E. Bauge and A.J.M. PlompenAnnals of Nuclear Energy 73 7 (2014)
https://doi.org/10.1016/j.anucene.2014.06.016
Elastic and inelastic scattering of neutrons on238U nucleus
R. Capote, A. Trkov, M. Sin, et al.EPJ Web of Conferences 69 00008 (2014)
https://doi.org/10.1051/epjconf/20136900008
Impact of model defect and experimental uncertainties on evaluated output
D. Neudecker, R. Capote and H. LeebNuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 723 163 (2013)
https://doi.org/10.1016/j.nima.2013.05.005
Experimental Uncertainty and Covariance Information in EXFOR Library
N. Otuka, R. Capote, S. Kopecky, et al.EPJ Web of Conferences 27 00007 (2012)
https://doi.org/10.1051/epjconf/20122700007
Reactor Dosimetry: 14th International Symposium
Roberto Capote, Donald L. Smith, Andrej Trkov and Mehdi MeghzifeneReactor Dosimetry: 14th International Symposium 179 (2012)
https://doi.org/10.1520/STP49611T
179 (2012)
https://doi.org/10.1520/STP155020120014
A New Formulation of the Unified Monte Carlo Approach (UMC-B) and Cross-Section Evaluation for the Dosimetry Reaction 55Mn(n,γ)56Mn
Roberto Capote, Donald L. Smith, Andrej Trkov and Mehdi MeghzifeneJournal of ASTM International 9 (3) 1 (2012)
https://doi.org/10.1520/JAI104115
Nuclear data uncertainty propagation: Perturbation vs. Monte Carlo
D. Rochman, A.J. Koning, S.C. van der Marck, A. Hogenbirk and C.M. SciollaAnnals of Nuclear Energy 38 (5) 942 (2011)
https://doi.org/10.1016/j.anucene.2011.01.026
Covariances of Evaluated Nuclear Cross Section Data for 232Th, 180,182,183,184,186W and 55Mn
A. Trkov, R. Capote, E.Sh. Soukhovitskii, et al.Nuclear Data Sheets 112 (12) 3098 (2011)
https://doi.org/10.1016/j.nds.2011.11.007
The role of nuclear data for fusion technology studies
Robin A. ForrestNuclear Engineering and Design 241 (10) 4326 (2011)
https://doi.org/10.1016/j.nucengdes.2011.08.033
Nuclear Science and Data Needs for Advanced Nuclear Systems
R.A. ForrestEnergy Procedia 7 540 (2011)
https://doi.org/10.1016/j.egypro.2011.06.075