ABSTRACT A new approach for generating nuclear data from experimental cross-section data is presented based on Gaussian process regression. This paper focuses on the generation of nuclear data for proton-induced nuclide production cross-sections with a nickel target. Our results provide reasonable regression curves and corresponding uncertainties and demonstrate that this approach is effective for generating nuclear data. Additionally, our results indicate that this approach can be applied in experimental design to reduce the uncertainty of generated nuclear data.

中文翻译：

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使用高斯过程回归生成核数据

摘要 基于高斯过程回归，提出了一种从实验截面数据生成核数据的新方法。本文侧重于使用镍靶生成质子诱导核素产生截面的核数据。我们的结果提供了合理的回归曲线和相应的不确定性，并证明这种方法对于生成核数据是有效的。此外，我们的结果表明，这种方法可以应用于实验设计，以减少生成的核数据的不确定性。