Production Cross-Sections of Residual Nuclides from 93zr + P at 27 MeV/nucleon

Jongwon Hwang, Thomas Chillery, Masanori Dozono, Nobuaki Imai, Shin'ichiro Michimasa, Toshiyuki Sumikama, Nobuyuki Chiga,Shinsuke Ota,Shinsuke Nakayama, Deuk Soon Ahn,Olga Beliuskina, Kazuya Chikaato,Naoki Fukuda, Seiya Hayakawa,Eiji Ideguchi, Kotaro Iribe,Chihiro Iwamoto, Shoichiro Kawase,Keita Kawata,Noritaka Kitamura, Kensuke Kusaka, Shoichiro Masuoka, Hareru Miki,Hiroari Miyatake,Daisuke Nagae,Ryo Nakajima,Keita Nakano,Masao Ohtake, Shunichiro Omika,Hooi Jin Ong, Hideaki Otsu,Hiroyoshi Sakurai,Philipp Schrock,Hideki Shimizu,Yohei Shimizu, Xiaohui Sun,Daisuke Suzuki,Hiroshi Suzuki,Motonobu Takaki, Maya Takechi,Hiroyuki Takeda, Satoshi Takeuchi, Takashi Teranishi, Rieko Tsunoda,He Wang,Yukinobu Watanabe,Yutaka X. Watanabe,Kathrin Wimmer, Kentaro Yako,Hiroki Yamada, Kazunari Yamada, Hidetoshi Yamaguchi,Lei Yang, Rikuto Yanagihara,Yoshiyuki Yanagisawa, Hiroya Yoshida,Koichi Yoshida, Susumu Shimoura

PROGRESS OF THEORETICAL AND EXPERIMENTAL PHYSICS(2024)

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摘要
Nuclear transmutation is emerging as a promising approach for reprocessing high-level waste, specifically treating long-lived nuclides like Zr-93 from spent fuel. It is essential to accumulate reaction data for these nuclei to advance this prominent treatment and to build a comprehensive understanding of reaction mechanisms. In this study, the residual production cross-sections resulting from proton-induced reactions on Zr-93 were measured at 27 MeV/nucleon in inverse kinematics. At the RI Beam Factory (RIBF), the Optimized Energy Degrading Optics beamline was used to deduce production cross-sections for isotopes Nb91-93, Zr-91,Zr-92, and Y-88,Y-89. Comparing the results from this study and prior research with calculated excitation functions, a moderate agreement is found with theoretical predictions derived from TALYS and CCONE. The measured cross-sections offer valuable insights for future considerations in nuclear-waste treatment facilities. This is particularly relevant for facilities exploring innovative methods, such as accelerator-driven systems.
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