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arXiv 2609.04234physics.gen-ph

用相互作用暗能量模型研究巧合问题

Investigating the coincidence problem with Interacting Dark Energy Models

Kshitiz Singh, Savita Gahlaut

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中文总结 AI 辅助

本文结合宇宙计时器H(z)、BAO和QSO数据研究三种IDE模型,发现数据允许暗 sector 弱相互作用,但未提供统计显著证据支持IDE模型优于标准ΛCDM模型。

中文摘要 AI 辅助

广义相对论(GR)框架下的相互作用暗能量(IDE)模型是标准ΛCDM模型的一种可能扩展,或可缓解宇宙巧合问题。本文结合宇宙计时器H(z)测量值与两种标准宇宙尺——重子声学振荡(BAO)和类星体(QSO),研究三种唯象相互作用暗能量模型。观测约束结果显示,存在对暗能量向暗物质转移能量的微弱偏好,该场景或有助于缓解宇宙巧合问题。但对应无相互作用情况的标准ΛCDM模型,仍与观测数据完全一致,因为无相互作用情形处于所有三种IDE模型推导出的相互作用参数的1σ置信区间内。采用赤池信息准则(AIC)和贝叶斯信息准则(BIC)的模型比较进一步表明,当前数据未提供统计上显著的证据支持任何IDE模型优于标准ΛCDM模型或彼此间更优。这些结果提示,尽管数据允许暗 sector 存在弱相互作用,但现有观测未提供令人信服的证据支持偏离标准ΛCDM模型。

英文摘要

Interacting dark energy (IDE) models within the framework of general relativity (GR) provide a possible extension of the standard $Λ$CDM model and may alleviate the coincidence problem. In this paper, we investigate three phenomenological interacting dark energy models using a combination of cosmic chronometer $H(z)$ measurements and two standard cosmic rulers: baryon acoustic oscillations (BAO) and quasars (QSO). The observational constraints indicate a mild preference for energy transfer from dark energy to dark matter, a scenario that may help alleviate the cosmic coincidence problem. However, the standard $Λ$CDM model, corresponding to the absence of interaction, remains fully consistent with the observational data, as the no-interaction case lies within the $1σ$ confidence interval of the inferred interaction parameter for all three IDE models. Model comparison, using Akaike Information Criterion (AIC) and the Bayesian Information Criterion (BIC), further indicates that the current data do not provide statistically significant evidence favouring any IDE model over the standard $Λ$CDM scenario or over one another. These results suggest that, while a weak dark-sector interaction is permitted by the data, present observations do not provide compelling evidence for departures from the standard $Λ$CDM model.

发表机构

  • Deen Dayal Upadhyaya College, University of Delhi(德里大学迪恩·达亚尔·乌帕迪亚亚学院)

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