Počet záznamů: 1  

How to Use Benchmark and Cross-section Studies to Improve Data Libraries and Models

  1. 1.
    0474618 - ÚJF 2018 RIV GB eng C - Konferenční příspěvek (zahraniční konf.)
    Wagner, Vladimír - Suchopár, Martin - Vrzalová, Jitka - Chudoba, Petr - Svoboda, Ondřej - Tichý, P. - Krása, Antonín - Majerle, Mitja - Kugler, Andrej - Adam, J. - Balding, A. - Furman, W. - Kadykov, M. G. - Solnyshkin, A. A. - Tsoupko-Sitnikov, S. - Tyutyunikov, S. - Vladimirova, N. - Závorka, L.
    How to Use Benchmark and Cross-section Studies to Improve Data Libraries and Models.
    Journal of Physics Conference Series. Vol. 724. Bristol: IOP Publishing, 2016, č. článku UNSP012052. ISSN 1742-6588.
    [21st International School on Nuclear Physics, Neutron Physics and Applications & International Symposium on Exotic Nuclei (ISEN). Varna (BG), 06.09.2015-12.09.2015]
    Grant CEP: GA MŠMT LG14004; GA MŠMT LM2015056
    Institucionální podpora: RVO:61389005
    Klíčová slova: Monte Carlo * cross-section
    Obor OECD: Nuclear physics

    Improvements of the Monte Carlo transport codes and cross-section libraries are very important steps towards usage of the accelerator-driven transmutation systems. We have conducted a lot of benchmark experiments with different set-ups consisting of lead, natural uranium and moderator irradiated by relativistic protons and deuterons within framework of the collaboration Energy and Transmutation of Radioactive Waste. Unfortunately, the knowledge of the total or partial cross-sections of important reactions is insufficient. Due to this reason we have started extensive studies of different reaction cross-sections. We measure cross-sections of important neutron reactions by means of the quasi-monoenergetic neutron sources based on the cyclotrons at Nuclear Physics Institute in Rez and at The Svedberg Laboratory in Uppsala. Measurements of partial cross-sections of relativistic deuteron reactions were the second direction of our studies. The new results obtained during last years will be shown. Possible use of these data for improvement of libraries, models and benchmark studies will be discussed.
    Trvalý link: http://hdl.handle.net/11104/0271631

     
     
Počet záznamů: 1  

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