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中国物理学会期刊

上海激光电子伽马源伽马活化数据的获取及应用

CSTR: 32037.14.aps.75.20251208

Acquisition and application of Shanghai Laser Electron Gamma Source gamma activation data

CSTR: 32037.14.aps.75.20251208
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  • 伽马活化分析(光子活化分析)是一种有效的元素分析技术, 特别是对原子序数较小的轻元素和一些对热中子活化分析不灵敏的元素具有优势, 上海激光电子伽马源(Shanghai laser electron Gamma source, SLEGS)光束线站的建成为在国内开展伽马活化分析及获取伽马活化数据提供了有利条件. 伽马活化数据源于对光核反应生成的短寿命放射性核的退激发特征伽马射线的测量, 从而得到母核的种类和活度等信息. 伽马活化分析技术依赖于伽马源与低本底伽马射线测量装置, 具有数据处理高效、结果分析便捷的特点. 本文介绍了SLEGS束线站的伽马活化数据测量设备和伽马活化实验数据的获取及分析. 基于伽马活化数据分析, 对SLEGS束流流强测量及核天体物理中的光核反应开展了实验研究, 对未来开展特征核素识别及科技考古等工作进行了展望, 伽马活化数据的应用范围和涉及领域将日益扩大. 本文提供了低本底伽马测量数据及部分伽马活化测量数据, 本文数据集可在https://doi.org/10.57760/sciencedb.j00213.00194中访问获取.

     

    Gamma activation analysis (GAA) is a powerful elemental analysis technique, particularly suitable for light elements and those insensitive to thermal neutron activation. The establishment of the Shanghai Laser Electron Gamma Source (SLEGS) beamline has provided a unique platform in China for conducting advanced gamma activation studies using quasi-monochromatic gamma beams and obtaining high-precision nuclear data. In this paper, the gamma activation data measurement method and experimental setup developed at the SLEGS beamline are systematically presented, while demonstrating its specific applications and significant achievements in beam diagnostics and nuclear astrophysics research. This study is conducted at the SLEGS beamline. The SLEGS generates tunable quasi-monochromatic gamma beams in an energy range of 0.66–21.7 MeV through the inverse Compton scattering mode of a 3.5 GeV electron beam and a 10.64 μm CO2 laser. The experimental procedure begins with the online irradiation of target samples such as natural abundance Au, Zn and Ru/Ga, thereby generating radioactive nuclei through photonuclear reactions. During irradiation, beam monitoring is conducted using LaBr3(Ce) or BGO detectors in conjunction with spectral unfolding. Subsequently, offline γ-ray spectroscopy is performed on the activated samples using shielded HPGe detectors. Based on these measurements, the reaction cross-sections are ultimately determined by analyzing characteristic gamma peaks, beam parameters, and detector efficiency data.
    Absolute calibration of SLEGS gamma beam intensity is successfully achieved using 197Au(γ, n)196Au and 64Zn(γ, n)63Zn reactions. The measured results agree with online monitor data and Geant4 simulations within an uncertainty of 10% , thereby validating activation as a reliable beam diagnostic tool. Key photonuclear reaction cross-sections relevant to p-process nucleosynthesis are measured. Using natural abundance Ru targets, preliminary quasi-monoenergetic cross-section data are obtained for 96Ru(γ, n)95Ru, 96Ru(γ, p)95Tc and 98Ru(γ, n)97Ru reactions. Systematic measurements of the 69Ga(γ, n)68Ga monoenergetic reaction cross-section are performed . The experimental data constrain parameters in the TALYS nuclear reaction model, enabling the calculation of 69Ga(γ, n), (γ, p), and (γ, α) reaction rates over 1.5–10 GK temperature range. REACLIB-format parameters are derived for astrophysical network calculations. These experimental results provide crucial constraints for understanding the origin of p-nuclei.
    his study successfully establishes a comprehensive and reliable gamma activation data acquisition and analysis platform at the SLEGS beamline of Shanghai Synchrotron Radiation Facility. Experimental results show that this platform can not only accurately calibrate gamma beam parameters, but also conduct cutting-edge basic research in nuclear astrophysics, especially in measuring the critical yet challenging photonuclear reaction cross-sections of the p-process. The obtained datasets are crucial for nuclear databases and astrophysical models. Looking ahead, the SLEGS gamma activation platform will broaden its applications to a wider range of fields including characteristic nuclide identification, archaeometry, materials science, and medical isotope production. Low-background gamma data and partial gamma activation data are provided, which can be accessed in the dataset at https://doi.org/10.57760/sciencedb.j00213.00194.

     

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