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Koning, Arjan
Alternative names
Publications (10 of 24) Show all publications
Rochman, D., Vasiliev, A., Ferroukhi, H., Pelloni, S., Bauge, E. & Koning, A. (2019). Correlation (nu)over-bar(p) - sigma for U-Pu in the thermal and resonance neutron range via integral information. The European Physical Journal Plus, 134, Article ID 453.
Open this publication in new window or tab >>Correlation (nu)over-bar(p) - sigma for U-Pu in the thermal and resonance neutron range via integral information
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2019 (English)In: The European Physical Journal Plus, ISSN 2190-5444, E-ISSN 2190-5444, Vol. 134, article id 453Article in journal (Refereed) Published
Abstract [en]

This paper presents an application of the Backward-Forward Monte Carlo (BFMC) method using measured critical boron concentrations for a specific PWR cycle. The considered prior nuclear data are the fission cross sections, nu for U-235 and Pu-239 and the capture cross section of U-238. The posterior nuclear data exhibit cross-isotope correlations, moderate changes for the average quantities and reduced uncertainties. This work is the first one considering the BFMC method and an integral system mostly sensitive to thermal neutrons. It contributes to show the impact of integral experimental data for the evaluation of nuclear data and their covariance matrices, leading to cross-isotope correlations and a nuclear data uncertainty reduction.

Place, publisher, year, edition, pages
SPRINGER HEIDELBERG, 2019
National Category
Subatomic Physics
Identifiers
urn:nbn:se:uu:diva-395695 (URN)10.1140/epjp/i2019-12875-7 (DOI)000487805000003 ()
Available from: 2019-10-23 Created: 2019-10-23 Last updated: 2019-10-23Bibliographically approved
Koning, A., Rochman, D., Sublet, J.-C., Dzysiuk, N., Fleming, M. & van der Marck, S. (2019). TENDL: Complete Nuclear Data Library for Innovative Nuclear Science and Technology. Nuclear Data Sheets, 155, 1-55
Open this publication in new window or tab >>TENDL: Complete Nuclear Data Library for Innovative Nuclear Science and Technology
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2019 (English)In: Nuclear Data Sheets, ISSN 0090-3752, E-ISSN 1095-9904, Vol. 155, p. 1-55Article in journal (Refereed) Published
Abstract [en]

The TENDL library is now established as one of the major nuclear data libraries in the world, striving for completeness and quality of nuclear data files for all isotopes, evaluation methods, processing and applied performance. To reach this status, some basic principles have been applied which sets it apart from other libraries: reproducible dedicated evaluations when differential data are available, through determination of nuclear models implemented in TALYS and their parameters, completeness (with or without experimental data), format and processing standardization, automation of production and reproducibility. In this paper, we will outline how such an approach has become a reality, and recall some of the past successes since the first TENDL release in 2008. Next, we will demonstrate the performance of the latest TENDL releases for different application fields, as well as new approaches for uncertainty quantification based on Bayesian inference methods and possible differential and integral adjustments. Also, current limitations of the library performances due to modelling and needs for new and more precise experimental data will be outlined.

Place, publisher, year, edition, pages
ACADEMIC PRESS INC ELSEVIER SCIENCE, 2019
National Category
Subatomic Physics
Identifiers
urn:nbn:se:uu:diva-376888 (URN)10.1016/j.nds.2019.01.002 (DOI)000456611100002 ()
Available from: 2019-02-12 Created: 2019-02-12 Last updated: 2019-02-12Bibliographically approved
Bajpeyi, A., Shukla, A. & Koning, A. (2018). Systematic Nuclear Structure and Nuclear Reaction Studies Relevant to p-process. Acta Physica Polonica B, 49(1), 27-40
Open this publication in new window or tab >>Systematic Nuclear Structure and Nuclear Reaction Studies Relevant to p-process
2018 (English)In: Acta Physica Polonica B, ISSN 0587-4254, E-ISSN 1509-5770, Vol. 49, no 1, p. 27-40Article in journal (Refereed) Published
Abstract [en]

The cross section and reaction rate of the proton and alpha capture reactions on Pd-102, Te-120, Xe-124,Xe-126, and Ba-130,Ba-132 have been calculated through TALYS in Hauser-Feshbach formalism using relativistic mean field densities. Nuclear structure studies have been also carried out for the nuclei under consideration. Results obtained in the present work for nuclear structure as well as nuclear reaction are in a fair agreement with the available experimental results.

Place, publisher, year, edition, pages
JAGIELLONIAN UNIV PRESS, 2018
National Category
Subatomic Physics
Identifiers
urn:nbn:se:uu:diva-351775 (URN)10.5506/APhysPolB.49.27 (DOI)000428739500003 ()
Available from: 2018-06-04 Created: 2018-06-04 Last updated: 2018-06-04Bibliographically approved
Helgesson, P., Sjöstrand, H., Arjan, J. K., Rydén, J., Rochman, D., Alhassan, E. & Pomp, S. (2017). Combining Total Monte Carlo and Unified Monte Carlo: Bayesian nuclear data uncertainty quantification from auto-generated experimental covariances. Progress in nuclear energy (New series), 96, 76-96
Open this publication in new window or tab >>Combining Total Monte Carlo and Unified Monte Carlo: Bayesian nuclear data uncertainty quantification from auto-generated experimental covariances
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2017 (English)In: Progress in nuclear energy (New series), ISSN 0149-1970, E-ISSN 1878-4224, Vol. 96, p. 76-96Article in journal (Refereed) Published
Abstract [en]

The Total Monte Carlo methodology (TMC) for nuclear data (ND) uncertainty propagation has been subject to some critique because the nuclear reaction parameters are sampled from distributions which have not been rigorously determined from experimental data. In this study, it is thoroughly explained how TMC and Unified Monte Carlo-B (UMC-B) are combined to include experimental data in TMC. Random ND files are weighted with likelihood function values computed by comparing the ND files to experimental data, using experimental covariance matrices generated from information in the experimental database EXFOR and a set of simple rules. A proof that such weights give a consistent implementation of Bayes' theorem is provided. The impact of the weights is mainly studied for a set of integral systems/applications, e.g., a set of shielding fuel assemblies which shall prevent aging of the pressure vessels of the Swedish nuclear reactors Ringhals 3 and 4.

In this implementation, the impact from the weighting is small for many of the applications. In some cases, this can be explained by the fact that the distributions used as priors are too narrow to be valid as such. Another possible explanation is that the integral systems are highly sensitive to resonance parameters, which effectively are not treated in this work. In other cases, only a very small number of files get significantly large weights, i.e., the region of interest is poorly resolved. This convergence issue can be due to the parameter distributions used as priors or model defects, for example.

Further, some parameters used in the rules for the EXFOR interpretation have been varied. The observed impact from varying one parameter at a time is not very strong. This can partially be due to the general insensitivity to the weights seen for many applications, and there can be strong interaction effects. The automatic treatment of outliers has a quite large impact, however.

To approach more justified ND uncertainties, the rules for the EXFOR interpretation shall be further discussed and developed, in particular the rules for rejecting outliers, and random ND files that are intended to describe prior distributions shall be generated. Further, model defects need to be treated.

Place, publisher, year, edition, pages
Elsevier, 2017
Keywords
Nuclear data, Uncertainty propagation, Total Monte Carlo, Experimental correlations, Unified Monte Carlo
National Category
Subatomic Physics
Identifiers
urn:nbn:se:uu:diva-313644 (URN)10.1016/j.pnucene.2016.11.006 (DOI)000392676800007 ()
Available from: 2017-01-23 Created: 2017-01-23 Last updated: 2018-04-16Bibliographically approved
Leray, O., Rochman, D., Fleming, M., Sublet, J.-C., Koning, A., Vasiliev, A. & Ferroukhi, H. (2017). Fission yield covariances for JEFF: A Bayesian Monte Carlo method. In: Plompen, A Hambsch, FJ Schillebeeckx, P Mondelaers, W Heyse, J Kopecky, S Siegler, P Oberstedt, S (Ed.), ND 2016: INTERNATIONAL CONFERENCE ON NUCLEAR DATA FOR SCIENCE AND TECHNOLOGY. Paper presented at ND 2016: International Conference on Nuclear Data for Science and Technology, SEP 11-16, 2016, Bruges, BELGIUM.. Les Ulis: EDP Sciences, Article ID 09023.
Open this publication in new window or tab >>Fission yield covariances for JEFF: A Bayesian Monte Carlo method
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2017 (English)In: ND 2016: INTERNATIONAL CONFERENCE ON NUCLEAR DATA FOR SCIENCE AND TECHNOLOGY / [ed] Plompen, A Hambsch, FJ Schillebeeckx, P Mondelaers, W Heyse, J Kopecky, S Siegler, P Oberstedt, S, Les Ulis: EDP Sciences, 2017, article id 09023Conference paper, Published paper (Refereed)
Abstract [en]

The JEFF library does not contain fission yield covariances, but simply best estimates and uncertainties. This situation is not unique as all libraries are facing this deficiency, firstly due to the lack of a defined format. An alternative approach is to provide a set of random fission yields, themselves reflecting covariance information. In this work, these random files are obtained combining the information from the JEFF library (fission yields and uncertainties) and the theoretical knowledge from the GEF code. Examples of this method are presented for the main actinides together with their impacts on simple burn-up and decay heat calculations.

Place, publisher, year, edition, pages
Les Ulis: EDP Sciences, 2017
Series
EPJ Web of Conferences, ISSN 2100-014X ; 146
National Category
Subatomic Physics
Identifiers
urn:nbn:se:uu:diva-354402 (URN)10.1051/epjconf/201714609023 (DOI)000426429500250 ()978-2-7598-9020-0 (ISBN)
Conference
ND 2016: International Conference on Nuclear Data for Science and Technology, SEP 11-16, 2016, Bruges, BELGIUM.
Available from: 2018-06-29 Created: 2018-06-29 Last updated: 2018-06-29Bibliographically approved
Sjöstrand, H., Conroy, S., Helgesson, P., Hernandez Solis, A., Koning, A., Pomp, S. & Rochman, D. (2017). Propagation of nuclear data uncertainties for fusion power measurements. In: Plompen, A.; Hambsch, FJ.; Schillebeeckx, P.; Mondelaers, W.; Heyse, J.; Kopecky, S.; Siegler, P.; Oberstedt, S. (Ed.), ND 2016: International Conference On Nuclear Data For Science And Technology. Paper presented at ND 2016: International Conference On Nuclear Data For Science And Technology, Sep 11-16, 2016, Bruges, Belgium.. Les Ulis: EDP Sciences, 146(02034), Article ID 02034.
Open this publication in new window or tab >>Propagation of nuclear data uncertainties for fusion power measurements
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2017 (English)In: ND 2016: International Conference On Nuclear Data For Science And Technology / [ed] Plompen, A.; Hambsch, FJ.; Schillebeeckx, P.; Mondelaers, W.; Heyse, J.; Kopecky, S.; Siegler, P.; Oberstedt, S., Les Ulis: EDP Sciences, 2017, Vol. 146, no 02034, article id 02034Conference paper, Published paper (Refereed)
Abstract [en]

Neutron measurements using neutron activation systems are an essential part of the diagnostic system at large fusion machines such as JET and ITER. Nuclear data is used to infer the neutron yield. Consequently, high-quality nuclear data is essential for the proper determination of the neutron yield and fusion power. However, uncertainties due to nuclear data are not fully taken into account in uncertainty analysis for neutron yield calibrations using activation foils. This paper investigates the neutron yield uncertainty due to nuclear data using the so-called Total Monte Carlo Method. The work is performed using a detailed MCNP model of the JET fusion machine; the uncertainties due to the cross-sections and angular distributions in JET structural materials, as well as the activation cross-sections in the activation foils, are analysed. It is found that a significant contribution to the neutron yield uncertainty can come from uncertainties in the nuclear data.

Place, publisher, year, edition, pages
Les Ulis: EDP Sciences, 2017
Series
EPJ Web of Conferences, ISSN 2100-014X
National Category
Subatomic Physics
Identifiers
urn:nbn:se:uu:diva-343958 (URN)10.1051/epjconf/201714602034 (DOI)000426429500050 ()978-2-7598-9020-0 (ISBN)
Conference
ND 2016: International Conference On Nuclear Data For Science And Technology, Sep 11-16, 2016, Bruges, Belgium.
Available from: 2018-03-02 Created: 2018-03-02 Last updated: 2018-07-03Bibliographically approved
Rochman, D., Goriely, S., Koning, A. J. & Ferroukhi, H. (2017). Radiative neutron capture: Hauser Feshbach vs. statistical resonances. Physics Letters B, 764, 109-113
Open this publication in new window or tab >>Radiative neutron capture: Hauser Feshbach vs. statistical resonances
2017 (English)In: Physics Letters B, ISSN 0370-2693, E-ISSN 1873-2445, Vol. 764, p. 109-113Article in journal (Refereed) Published
Abstract [en]

The radiative neutron capture rates for isotopes of astrophysical interest are commonly calculated on the basis of the statistical Hauser Feshbach (HF) reaction model, leading to smooth and monotonically varying temperature-dependent Maxwellian-averaged cross sections (MACS). The HF approximation is known to be valid if the number of resonances in the compound system is relatively high. However, such a condition is hardly fulfilled for keV neutrons captured on light or exotic neutron-rich nuclei. For this reason, a different procedure is proposed here, based on the generation of statistical resonances. This novel technique, called the "High Fidelity Resonance" (HFR) method is shown to provide similar results as the HF approach for nuclei with a high level density but to deviate and be more realistic than HF predictions for light and neutron-rich nuclei or at relatively low sub-keV energies. The MACS derived with the HFR method are systematically compared with the traditional HF calculations for some 3300 neutron-rich nuclei and shown to give rise to significantly larger predictions with respect to the HF approach at energies of astrophysical relevance. For this reason, the HF approach should not be applied to light or neutron-rich nuclei. The Doppler broadening of the generated resonances is also studied and found to have a negligible impact on the calculated MACS.

Place, publisher, year, edition, pages
ELSEVIER SCIENCE BV, 2017
Keywords
Statistical Hauser-Feshbach model, Radiative neutron captures, Nuclear astrophysics
National Category
Astronomy, Astrophysics and Cosmology
Identifiers
urn:nbn:se:uu:diva-319671 (URN)10.1016/j.physletb.2016.11.018 (DOI)000390127100013 ()
Available from: 2017-04-07 Created: 2017-04-07 Last updated: 2017-11-29Bibliographically approved
Rochman, D., Koning, A. J., Sublet, J., Fleming, M., Bauge, E., S., H., . . . Vasiliev, A. (2017). The TENDL library: Hope, reality and future. In: Plompen, A.; Hambsch, FJ.; Schillebeeckx, P.; Mondelaers, W.; Heyse, J.; Kopecky, S.; Siegler, P.; Oberstedt, S. (Ed.), Nd 2016 Bruges: International Conference On Nuclear Data For Science And Technology. Paper presented at ND 2016: International Conference on Nuclear Data for Science and Technology, Sep 11-16, 2016, Belgium.. Les Ulis: EDP Sciences, 146, Article ID 02006.
Open this publication in new window or tab >>The TENDL library: Hope, reality and future
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2017 (English)In: Nd 2016 Bruges: International Conference On Nuclear Data For Science And Technology / [ed] Plompen, A.; Hambsch, FJ.; Schillebeeckx, P.; Mondelaers, W.; Heyse, J.; Kopecky, S.; Siegler, P.; Oberstedt, S., Les Ulis: EDP Sciences, 2017, Vol. 146, article id 02006Conference paper, Published paper (Refereed)
Abstract [en]

The TALYS Evaluated Nuclear Data Library (TENDL) has now 8 releases since 2008. Considerable experience has been acquired for the production of such general-purpose nuclear data library based on the feedback from users, evaluators and processing experts. The backbone of this achievement is simple and robust: completeness, quality and reproducibility. If TENDL is extensively used in many fields of applications, it is necessary to understand its strong points and remaining weaknesses. Alternatively, the essential knowledge is not the TENDL library itself, but rather the necessary method and tools, making the library a side product and focusing the efforts on the evaluation knowledge. The future of such approach will be discussed with the hope of nearby greater success.

Place, publisher, year, edition, pages
Les Ulis: EDP Sciences, 2017
Series
EPJ Web of Conferences, ISSN 2100-014X
National Category
Subatomic Physics
Identifiers
urn:nbn:se:uu:diva-330371 (URN)10.1051/epjconf/201714602006 (DOI)000426429500022 ()978-2-7598-9020-0 (ISBN)
Conference
ND 2016: International Conference on Nuclear Data for Science and Technology, Sep 11-16, 2016, Belgium.
Available from: 2017-09-28 Created: 2017-09-28 Last updated: 2018-07-03Bibliographically approved
Rochman, D., Leray, O., Vasiliev, A., Ferroukhi, H., Koning, A. J., Fleming, M. & Sublet, J. C. (2016). A Bayesian Monte Carlo method for fission yield covariance information. Annals of Nuclear Energy, 95, 125-134
Open this publication in new window or tab >>A Bayesian Monte Carlo method for fission yield covariance information
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2016 (English)In: Annals of Nuclear Energy, ISSN 0306-4549, E-ISSN 1873-2100, Vol. 95, p. 125-134Article in journal (Refereed) Published
Abstract [en]

The present work proposes a Bayesian method to combine theoretical fission yields with a set of reference data. These two sources of information are merged using a Monte Carlo process, and leads to a so-called Bayesian Monte Carlo update. Examples are presented for the independent fission yields of four major actinides, using the GEF code as a source of theoretical calculations and an evaluated library of fission yields for the reference data. The impact of the updated fission yields and their covariances is shown for two distinct applications: a UO2 pincell with burn-up up to 40 GWD/tHM and decay heat calculations of a thermal neutron pulse on U-235 and Pu-239.

Keywords
Fission yields, GEF, Bayesian update, Burn-up
National Category
Subatomic Physics
Identifiers
urn:nbn:se:uu:diva-300428 (URN)10.1016/j.anucene.2016.05.005 (DOI)000379369100014 ()
Available from: 2016-08-09 Created: 2016-08-09 Last updated: 2017-11-28Bibliographically approved
Helgesson, P., Sjöstrand, H., Rochman, D. & Koning, A. J. (2016). Evaluation of the Ni-59 cross sections including thermal (n,alpha), (n,p) and complete uncertainty information.
Open this publication in new window or tab >>Evaluation of the Ni-59 cross sections including thermal (n,alpha), (n,p) and complete uncertainty information
2016 (English)Other (Other academic)
National Category
Subatomic Physics
Identifiers
urn:nbn:se:uu:diva-313638 (URN)
Note

Presentation at OECDs JEFF meeting, April 25, 2016

Available from: 2017-01-23 Created: 2017-01-23 Last updated: 2017-01-24
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