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Analysis of Reactor Burnup Simulation Uncertainties for Antineutrino Spectrum Prediction

EUROPEAN PHYSICAL JOURNAL PLUS(2024)

INFN Sezione di Milano Bicocca e Dipartimento di Fisica | INFN Sezione di Milano Bicocca e Dipartimento di Energia | INFN Sezione di Catania | INFN Dipartimento di Fisica | INFN Sezione di Padova | INFN Dipartimento di Fisica e Matematica | INFN Sezione di Perugia e Università degli Studi di Perugia | Laboratori Nazionali dell'INFN di Frascati | Università degli Studi di Ferrara Dipartimento di Fisica e Scienze della Terra

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Abstract
Nuclear reactors are a source of electron antineutrinos due to the presence of unstable fission products that undergo β ^- decay. They will be exploited by the JUNO experiment to determine the neutrino mass ordering and to get very precise measurements of the neutrino oscillation parameters. This requires the reactor antineutrino spectrum to be characterized as precisely as possible both through high-resolution measurements, as foreseen by the TAO experiment, and detailed simulation models. In this paper, we present a benchmark analysis utilizing Serpent Monte Carlo simulations in comparison with real pressurized water reactor spent fuel data. Our objective is to study the accuracy of fission fraction predictions as a function of different reactor simulation approximations. Then, using the BetaShape software, we construct reactor antineutrino spectrum using the summation method, thereby assessing the influence of simulation uncertainties on it.
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Neutrino Detection,Neutrino Oscillations,Neutrino Interactions,Supernova Simulations
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要点】:本研究通过使用Serpent Monte Carlo模拟与实际压水堆乏燃料数据对比,分析了反应堆燃耗模拟不确定性对预测反电子中微子谱的影响,提出了利用BetaShape软件评估模拟不确定性对反中微子能谱影响的创新方法。

方法】:研究采用Serpent Monte Carlo模拟方法,并结合BetaShape软件的 summation 方法构建裂变反中微子能谱。

实验】:实验通过比较模拟结果与实际压水堆乏燃料数据,研究了不同反应堆模拟近似对裂变份额预测准确性的影响,并据此评估了模拟不确定性对反中微子能谱的影响。数据集名称未在摘要中明确提及。