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arXiv 2507.08085nucl-thphysics.data-an
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核子-核子散射中的不确定性置信预测

Conformal prediction for uncertainties in nucleon-nucleon scattering

University of Guelph(圭尔夫大学)

Habib Yousefi Dezdarani, Ryan Curry, Alexandros Gezerlis

AI总结:

本研究首次应用置信预测方法,为核物理中的核子-核子散射提供可靠的不确定性带,展示了其在非高斯行为下的适应性与鲁棒性。

摘要:

置信预测是一种无分布且模型无关的不确定性量化方法,能够提供有限样本预测区间并保证覆盖。在本工作中,我们首次将置信预测应用于生成核物理中的物理可观测量的不确定性带,例如总横截面和核子-核子相移。我们通过考虑三种场景展示了该方法的灵活性:(i)点模型中,楚科夫斯基有效场论中的展开系数被当作随机变量;(ii)高斯过程模型用于系数;以及(iii)使用楚科夫斯基有效场论的局部相互作用计算不同能量和部分波的相移。在每种情况下,都构建并验证了置信预测区间。我们的结果表明,即使在非高斯行为(如偏斜和重尾)存在的情况下,置信预测仍能提供可靠且适应性强的不确定性带。这些发现突显了置信预测作为量化理论不确定性的稳健且实用的框架。

英文摘要:

Conformal prediction is a distribution-free and model-agnostic uncertainty-quantification method that provides finite-sample prediction intervals with guaranteed coverage. In this work, for the first time, we apply conformal-prediction to generate uncertainty bands for physical observables in nuclear physics, such as the total cross section and nucleon-nucleon phase shifts. We demonstrate the method's flexibility by considering three scenarios: (i) a pointwise model, where expansion coefficients in chiral effective field theory are treated as random variables; (ii) a Gaussian-process model for the coefficients; and (iii) phase shifts at various energies and partial waves calculated using local interactions from chiral effective field theory. In each case, conformal-prediction intervals are constructed and validated empirically. Our results show that conformal prediction provides reliable and adaptive uncertainty bands even in the presence of non-Gaussian behavior, such as skewness and heavy tails. These findings highlight conformal prediction as a robust and practical framework for quantifying theoretical uncertainties.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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