Measurement of 100Mo(n, 2n)99Mo reaction cross-sections using 10-20 MeV quasi-monoenergetic neutrons

被引：0

作者：

Parashari, Siddharth ^{[1
]}

Mukherjee, Surjit ^{[1
]}

Makwana, Rajnikant ^{[1
]}

Singh, N. L. ^{[1
]}

Singh, Ratan K. ^{[1
]}

Naik, H. ^{[2
]}

Suryanarayana, S., V ^{[3
]}

Nayak, B. K. ^{[3
]}

Sharma, S. C. ^{[3
]}

Mehta, Mayur ^{[4
]}

Ayyala, Sai Akhil ^{[5
]}

Varmuza, Jan ^{[6
]}

Katovsky, Karel ^{[6
]}

机构：

[1] MS Univ, Dept Phys, Vadodara, India

[2] Bhabha Atom Res Ctr, Radiochem Div, Bombay, Maharashtra, India

[3] Bhabha Atom Res Ctr, Nucl Phys Div, Bombay, Maharashtra, India

[4] Inst Plasma Res, Gandhinagar, India

[5] GB Pant Univ Ag & Tech, Uttarakhand, India

[6] Brno Univ Technol, Dept Elect Power Engn, Brno, Czech Republic

来源：

PROCEEDINGS OF THE 2018 19TH INTERNATIONAL SCIENTIFIC CONFERENCE ON ELECTRIC POWER ENGINEERING (EPE) | 2018年

关键词：

Mo-100(n; 2n); reaction; Li-7(p; n) reaction for neutrons; cross section; gamma-rayspectroscopy; ALICE; TALYS; calculation; NUCLEAR-DATA LIBRARY; EXCITATION-FUNCTIONS; ISOTOPES; MOLYBDENUM; TC-99M; EXFOR; MO-99;

D O I：

10.1109/EPE.2018.8395960

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

The production cross-sections for the medical isotope Mo-99 were measured using Mo-100(n, 2n) reaction at average neutron energies of 10.95 +/- 0.45, 13.97 +/- 0.68, 16.99 +/- 0.53 and 20.00 +/- 0.58 MeV using the off-line gamma-ray spectroscopy. The neutrons of desired energies were generated using Li-7 (p, n) reaction at 14UD BARC-TIFR Pelletron facility, Mumbai, India. The experimentally measured data from the present work have been compared with the existing data libraries like, ENDF/B-VII.1, JENDL-4.0, JEFF-3.2 and CENDL-3.1. The results were also reproduced and compared with the theoretical nuclear modular codes like TALYS-1.8, and ALICE-2014. A modified set of parameters is also used to fit the existing data more accurately. The present findings show a good agreement with the theoretical as well as with the existing experimental data in different data libraries.

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页数：5

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