Molybdenum-99 production via lead and bismuth moderators and milli-structure-<sup>98</sup>Mo samples by indirect production technique using Monte Carlo method

This study describes the design of a neutron activator that contains a beryllium target, a lead/bismuth moderator, graphite/PbF₂ reflectors, and a boron absorber. Production of ⁹⁹ Mo isotope using millimeter-sized ⁹⁸ Mo samples located in various regions of the activator under study was also simulated using the MCNPX-code. If the ⁹⁸Mo samples are placed in the reflector region, the yield increases due to a larger flux of epithermal neutrons.

Keywords: neutron activator, neutron moderator materials, adiabatic resonance crossing, radioisotope production, molybdenum transmutation, nuclear medicine, Monte Carlo method
PACS: 28.60.+s, 29.25.−t, 87.57.U− (all)
DOI: 10.3367/UFNe.2018.09.038441
URL: https://ufn.ru/en/articles/2019/9/f/
Citation: Khorshidi A "Molybdenum-99 production via lead and bismuth moderators and milli-structure-⁹⁸Mo samples by indirect production technique using Monte Carlo method" Phys. Usp. 62 931–940 (2019)

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%0 Journal Article
%T Molybdenum-99 production via lead and bismuth moderators and milli-structure-⁹⁸Mo samples by indirect production technique using Monte Carlo method
%A A. Khorshidi
%I Physics-Uspekhi
%D 2019
%J Phys. Usp.
%V 62
%N 9
%P 931-940
%U https://ufn.ru/en/articles/2019/9/f/
%U https://doi.org/10.3367/UFNe.2018.09.038441

Received: 26th, April 2018, revised: 3rd, September 2018, accepted: 13th, September 2018

Оригинал: Хоршиди А «Производство молибена-99 с использованием замедлителей из свинца и висмута и миллиметровых структур ⁹⁸Mo: технология непрямого получения образцов и моделирование по методу Монте-Карло» УФН 189 997–1007 (2019); DOI: 10.3367/UFNr.2018.09.038441

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Molybdenum-99 production via lead and bismuth moderators and milli-structure-98Mo samples by indirect production technique using Monte Carlo method

Molybdenum-99 production via lead and bismuth moderators and milli-structure-⁹⁸Mo samples by indirect production technique using Monte Carlo method