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arXiv 2511.06332gr-qc
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非极小$f(Q)$引力与$H_0$张力的贝叶斯及机器学习分析

Bayesian and Machine-Learning Analyses of Nonminimal $f(Q)$ Gravity and $H_0$ Tension

Yukawa Institute for Theoretical Physics, Kyoto University(京都大学汤川理论物理研究所);RMIT University(皇家墨尔本理工大学)

Simran Arora, Mridul Patel

AI总结:

本研究通过贝叶斯MCMC分析结合机器学习方法,探讨非极小$f(Q)$引力的宇宙学含义,发现其可部分缓解$H_0$张力,是晚宇宙学的灵活框架,值得进一步研究。

摘要:

本研究在度量-仿形式框架内,研究了非极小耦合$f(Q)$引力的宇宙学含义,其中非度量标量$Q$直接与物质拉格朗日量耦合。在对称平行框架内,构建了一个代表性的$f(Q)$模型,并推导了对应的背景宇宙学方程。该分析旨在检验这种几何形式是否能产生更一致的非极小物质-几何耦合实现。采用宇宙计时器、DESI BAO DR2、来自Pantheon+、DESY5和Union3样本的Ia型超新星以及CMB进行了全面的统计MCMC分析。为补充统计研究,使用线性回归、支持向量回归(SVR)和随机森林算法等机器学习方法评估数据的预测性能和鲁棒性。结果表明,在广泛的参数选择范围内可部分缓解$H_0$张力。尽管如此,$f(Q)$引力作为一种有前景且灵活的晚宇宙学框架出现,为进一步探索与所有观测一致的扩展模型提供了动力。

英文摘要:

In this study, the cosmological implications of nonminimally coupled $f(Q)$ gravity are examined within the metric-affine formalism, in which the nonmetricity scalar $Q$ couples directly to the matter Lagrangian. Within the symmetric teleparallel framework, a representative $f(Q)$ model is constructed, and the corresponding background cosmological equations are derived. The analysis aims to test whether this geometric formulation yields more consistent realizations of nonminimal matter-geometry couplings. A comprehensive statistical MCMC analysis is performed using cosmic chronometers, DESI BAO DR2, and Type~Ia supernovae from the Pantheon+, DESY5, and Union3 samples and CMB. To complement the statistical study, we employ machine learning methods, such as linear regression, support vector regression (SVR), and random forest algorithms, to evaluate the predictive performance and robustness of the data. The results indicate that a partial alleviation of the $H_0$ tension can be achieved for a broad range of parameter choices. Nonetheless, $f(Q)$ gravity emerges as a promising and flexible framework for late-time cosmology, motivating further exploration of extended models consistent with all observations.

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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