Issue |
EPJ Web Conf.
Volume 239, 2020
ND 2019: International Conference on Nuclear Data for Science and Technology
|
|
---|---|---|
Article Number | 01031 | |
Number of page(s) | 4 | |
Section | Nuclear Reaction Measurements | |
DOI | https://doi.org/10.1051/epjconf/202023901031 | |
Published online | 30 September 2020 |
https://doi.org/10.1051/epjconf/202023901031
New 209Bi photodisintegration data and physical criteria of data reliability
1 Lomonosov Moscow State University, Physics Department, 119991 Moscow, Russia
2 "Horia Hulubei" National Institute for Physics and Nuclear Engineering (IFIN-HH), 30 Reactorului, Bucharest-Magurele 077125, Romania
3 Lomonosov Moscow State University, Skobeltsyn Institute of Nuclear Physics, 119991 Moscow, Russia
4 Department of Physics, Konan University, Okamoto 8-9-1, Higashinada, Kobe 658-8501, Japan
* e-mail: VVVarlamov@gmail.com
Published online: 30 September 2020
The well-known problem of noticeable disagreements between photoneutron cross sections from various experiments was discussed in detail for 209Bi. Data for partial photoneutron reactions cross sections obtained at Livermore (USA) using quasimonoenergetic annihilation photons and the method of neutron multiplicity sorting were analyzed using the objective physical criteria and the experimental-theoretical method for evaluation. Because of significant systematic uncertainties involved in the method for determining the neutron multiplicity, experimental data do not satisfy the criteria of reliability and differ noticeably from the evaluated data. The new experimental data for 209Bi (γ, in) reactions with i = 1–4 were obtained using quasimonochromatic laser Compton-scattering (LCS) γ-ray beams at the NewSUBARU synchrotron radiation facility and the novel technique of direct neutron-multiplicity sorting with a flat-efficiency detector. It was found that new σ(γ, 1n), σ (γ, 2n), and σ (γ, 3n) contradict noticeably to the Livermore data. It was shown that at the same time the new 209Bi photoneutron cross-sections are in good agreement with data evaluated using experimental-theoretical method and assuring the reliability of those.
© The Authors, published by EDP Sciences, 2020
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