Giulia Gosta, Rosanna Depalo for the LUNA collaboration
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引用次数: 0
Abstract
Solar neutrinos play a significant role in constraining the physical conditions in the interior of the Sun and are a unique tool to investigate its core composition. The \(^{14}\)N(p,\(\gamma \))\(^{15}\)O cross section is the dominant nuclear uncertainty on CNO neutrino flux predictions. At Solar energies (15–50 keV) such a cross-section is too low to be measured directly, therefore current estimates are based on extrapolations of higher energy data. The SOCIAL (SOlar Composition Investigated At LUNA) project aims at determining the \(^{14}\)N(p,\(\gamma \))\(^{15}\)O reaction rate at astrophysical energies with 5% precision, as requested by Solar models. We take advantage of the much suppressed \(\gamma \)-ray background achievable in the underground Gran Sasso laboratory to measure \(^{14}\)N(p,\(\gamma \))\(^{15}\)O partial cross-section in the 100–370 keV energy range. We deliver an intense proton beam from the LUNA accelerator to a solid nitrogen target. \(\gamma \)-rays are detected with a high-efficiency 4\(\pi \)-BGO detector composed of 6 independent segments. The data analysis technique will lead to determine the total and the partial cross-sections for individual gamma transitions. An overview of the experimental setup and the analysis technique are presented.
太阳中微子在限制太阳内部的物理条件方面发挥着重要作用,是研究太阳核心成分的独特工具。\(^{14}\) N(p, \(\gamma \)) \(^{15}\) O截面是CNO中微子通量预测的主要核不确定性。在太阳能(15-50 keV),这样的横截面太低,无法直接测量,因此目前的估计是基于更高能量数据的外推。社会(月球上太阳成分调查)项目旨在确定\(^{14}\) N(p, \(\gamma \)) \(^{15}\) O在天体物理能量为5时的反应速率% precision, as requested by Solar models. We take advantage of the much suppressed \(\gamma \)-ray background achievable in the underground Gran Sasso laboratory to measure \(^{14}\)N(p,\(\gamma \))\(^{15}\)O partial cross-section in the 100–370 keV energy range. We deliver an intense proton beam from the LUNA accelerator to a solid nitrogen target. \(\gamma \)-rays are detected with a high-efficiency 4\(\pi \)-BGO detector composed of 6 independent segments. The data analysis technique will lead to determine the total and the partial cross-sections for individual gamma transitions. An overview of the experimental setup and the analysis technique are presented.
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