Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Erwin Alhassan"'
Autor:
Erwin Alhassan, Dimitri Rochman, Alexander Vasiliev, Mathieu Hursin, Arjan J. Koning, Hakim Ferroukhi
Publikováno v:
Nuclear Science and Techniques. 33
In this work, we explore the use of an iterative Bayesian Monte Carlo (iBMC) method for nuclear data evaluation within a TALYS Evaluated Nuclear Data Library (TENDL) framework. The goal is to probe the model and parameter space of the TALYS code syst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b3bfa8a5b6a9b16897d897c2ba37a84
https://doi.org/10.1007/s41365-022-01034-w
https://doi.org/10.1007/s41365-022-01034-w
Autor:
Arjan J. Koning, Dimitri Rochman, Stephan Pomp, Petter Helgesson, Erwin Alhassan, Henrik Sjöstrand, M. Österlund
Publikováno v:
Annals of Nuclear Energy. 96:158-169
For several decades reactor design has been supported by computer codes for the investigation of reactor behavior under both steady state and transient conditions. The use of computer codes to simulate reactor behavior enables the investigation of va
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::974296d3d8626009165de5bb10cae290
https://doi.org/10.1016/j.anucene.2016.05.033
https://doi.org/10.1016/j.anucene.2016.05.033
Autor:
Arjan J. Koning, Erwin Alhassan, Michael Österlund, Henrik Sjöstrand, Dmitri Rochman, Petter Helgesson, Stephan Pomp
Publikováno v:
Progress in Nuclear Energy. 88:43-52
The current nuclear data uncertainties observed in reactor safety parameters for some nuclides call for safety concerns especially with respect to the design of GEN-IV reactors and must therefore be reduced significantly. In this work, uncertainty re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::655aaa32ccec323d2e8e649f3e8e07e6
https://doi.org/10.1016/j.pnucene.2015.11.015
https://doi.org/10.1016/j.pnucene.2015.11.015
Autor:
Hakim Ferroukhi, Erwin Alhassan, D. Rochman, Alexander Vasiliev, Arjan J. Koning, Henrik Sjöstrand
Publikováno v:
Annals of Nuclear Energy. 139:107239
In this work, a method is proposed for combining differential and integral benchmark experimental data within a Bayesian framework for nuclear data adjustments and multi-level uncertainty propagation, using the Total Monte Carlo method. First, input
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b1bc7839e61780b58fe7972a28650df
https://doi.org/10.1016/j.anucene.2019.107239
https://doi.org/10.1016/j.anucene.2019.107239
Autor:
Arjan J. Koning, Michael Wohlmuther, R.M. Bergmann, Hakim Ferroukhi, Alexander Vasiliev, Erwin Alhassan, D. Rochman
Publikováno v:
EPJ Web of Conferences, Vol 239, p 13005 (2020)
A lot of research work has been carried out in fine tuning model parameters to reproduce experimental data for neutron induced reactions. This however is not the case for proton induced reactions where large deviations still exist between model calcu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10209ba6891995620de409aa18c2592e
https://doi.org/10.1051/epjconf/202023913005
https://doi.org/10.1051/epjconf/202023913005
Publikováno v:
EPJ Web of Conferences, Vol 239, p 22003 (2020)
In this work, an overview on the relevance of the nuclear data (ND) uncertainties with respect to the Light Water Reactors (LWR) neutron dosimetry is presented. The paper summarizes results of several studies realized at the LRT laboratory of the Pau
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3cb10dd788e919d7a7976abe02ac681a
https://doi.org/10.1051/epjconf/202023922003
https://doi.org/10.1051/epjconf/202023922003
Autor:
Henrik Sjöstrand, Ali Al-Adili, Andreas Solders, Cecilia Gustavsson, Vasily Simutkin, Arjan J. Koning, Dimitri Rochman, Carl Hellesen, Mattias Lantz, Petter Helgesson, Stephan Pomp, Erwin Alhassan, Michael Österlund
Publikováno v:
Nuclear Data Sheets. 123:220-224
We describe the research program of the nuclear reactions research group at Uppsala University concerning experimental and theoretical efforts to quantify and reduce nuclear data uncertainties rele ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c6fbc71adf29c12585a20daad60d6d3
https://doi.org/10.1016/j.nds.2014.12.038
https://doi.org/10.1016/j.nds.2014.12.038
Autor:
Arjan J. Koning, Henrik Sjöstrand, Jesper Rydén, Petter Helgesson, Dimitri Rochman, Stephan Pomp, Erwin Alhassan
Publikováno v:
Progress in Nuclear Energy
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 ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41e029b9398cee02c631676ff99feb1f
Publikováno v:
Annals of Nuclear Energy. 73:478-483
In this work, we present results of fuel depletion analyses performed for a potential LEU core of Ghana’s Miniature Neutron Source Reactor (GHARR-1) using the Monte Carlo N-particle extended (MCNPX) neutron transport code. Depletion calculation was
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc6a47a195cc49ba33f8a40929420cd2
https://doi.org/10.1016/j.anucene.2014.07.030
https://doi.org/10.1016/j.anucene.2014.07.030
Publikováno v:
Nuclear Science and Engineering. 177:321-336
Precise assessment of propagated nuclear data uncertainties in integral reactor quantities is necessary for the development of new reactors as well as for modified use, e.g., when replacing UO2 fue...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6b6761f19567da7e5f26fc1320fce06
https://doi.org/10.13182/nse13-48
https://doi.org/10.13182/nse13-48