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:
Georg Schnabel , Helmut Leeb
EPJ Web of Conferences, 111 (2016) 09001
Published online: 2016-03-15
This article has been cited by the following article(s):
17 articles
Bayesian model averaging (BMA) for nuclear data evaluation
E. Alhassan, D. Rochman, G. Schnabel and A. J. Koning Nuclear Science and Techniques 35 (11) (2024) https://doi.org/10.1007/s41365-024-01543-w
Parameter optimisation using Bayesian inference for spallation models
J. Hirtz, J.-C. David, J. Cugnon, I. Leya, J. L. Rodríguez-Sánchez and G. Schnabel The European Physical Journal A 60 (7) (2024) https://doi.org/10.1140/epja/s10050-024-01370-y
Bayesian Monte Carlo Evaluation of Imperfect (n, 233U) Data and Model
Jesse M. Brown, Goran Arbanas, Dorothea Wiarda, Klaus H. Guber, Andrew Holcomb, Vladimir Sobes, C.M. Mattoon, R. Vogt, J. Escher and I. Thompson EPJ Web of Conferences 284 12003 (2023) https://doi.org/10.1051/epjconf/202328412003
G-HyND: a hybrid nuclear data estimator with Gaussian processes
Hiroki Iwamoto, Osamu Iwamoto and Satoshi Kunieda Journal of Nuclear Science and Technology 59 (3) 334 (2022) https://doi.org/10.1080/00223131.2021.1971120
Conservative covariance for general-purpose nuclear data evaluation
Pierre Tamagno The European Physical Journal A 57 (2) (2021) https://doi.org/10.1140/epja/s10050-021-00367-1
Conception and Software Implementation of a Nuclear Data Evaluation Pipeline
G. Schnabel, H. Sjöstrand, J. Hansson, D. Rochman, A. Koning and R. Capote Nuclear Data Sheets 173 239 (2021) https://doi.org/10.1016/j.nds.2021.04.007
Examples of Monte Carlo techniques applied for nuclear data uncertainty propagation
Oscar Cabellos, Luca Fiorito, O. Serot and A. Chebboubi EPJ Web of Conferences 211 07008 (2019) https://doi.org/10.1051/epjconf/201921107008
Correlation $\overline{\nu}_{p} - \sigma$ for U-Pu in the thermal and resonance neutron range via integral information
D. Rochman, A. Vasiliev, H. Ferroukhi, et al. The European Physical Journal Plus 134 (9) (2019) https://doi.org/10.1140/epjp/i2019-12875-7
Monte Carlo integral adjustment of nuclear data libraries – experimental covariances and inconsistent data
Henrik Sjöstrand, Georg Schnabel, O. Serot and A. Chebboubi EPJ Web of Conferences 211 07007 (2019) https://doi.org/10.1051/epjconf/201921107007
A first sketch: Construction of model defect priors inspired by dynamic time warping
Georg Schnabel, Henrik Sjöstrand, O. Serot and A. Chebboubi EPJ Web of Conferences 211 07005 (2019) https://doi.org/10.1051/epjconf/201921107005
Formulation of Model Defects Suitable for the Resonance Regime
Benedikt Raab, Thomas Srdinko, Helmut Leeb, O. Serot and A. Chebboubi EPJ Web of Conferences 211 07006 (2019) https://doi.org/10.1051/epjconf/201921107006
TENDL: Complete Nuclear Data Library for Innovative Nuclear Science and Technology
A.J. Koning, D. Rochman, J.-Ch. Sublet, N. Dzysiuk, M. Fleming and S. van der Marck Nuclear Data Sheets 155 1 (2019) https://doi.org/10.1016/j.nds.2019.01.002
Bayesian optimization of generalized data
Goran Arbanas, Jinghua Feng, Zia J. Clifton, et al. EPJ Nuclear Sciences & Technologies 4 30 (2018) https://doi.org/10.1051/epjn/2018038
Treating model defects by fitting smoothly varying model parameters: Energy dependence in nuclear data evaluation
P. Helgesson and H. Sjöstrand Annals of Nuclear Energy 120 35 (2018) https://doi.org/10.1016/j.anucene.2018.05.026
Estimating model bias over the complete nuclide chart with sparse Gaussian processes at the example of INCL/ABLA and double-differential neutron spectra
Georg Schnabel and Cyrille de Saint Jean EPJ Nuclear Sciences & Technologies 4 33 (2018) https://doi.org/10.1051/epjn/2018013
Fitting a defect non-linear model with or without prior, distinguishing nuclear reaction products as an example
P. Helgesson and H. Sjöstrand Review of Scientific Instruments 88 (11) (2017) https://doi.org/10.1063/1.4993697
Fission yield covariance matrices for the main neutron-induced fissioning systems contained in the JEFF-3.1.1 library
N. Terranova, O. Serot, P. Archier, C. De Saint Jean and M. Sumini Annals of Nuclear Energy 109 469 (2017) https://doi.org/10.1016/j.anucene.2017.05.052