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arXiv 2407.12409gr-qc
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存在物质创生时的修正引力:晚期宇宙的情景

Modified gravity in the presence of matter creation: scenario for the late Universe

Giovanni Montani, Nakia Carlevaro, Mariaveronica De Angelis

AI总结:

本文提出含物质创生的度规 f(R) 晚期宇宙模型,通过封闭红移动力学方程并约束参数消除快子模式,使 Planck 哈勃演化与晚期动力学相容以缓解哈勃张力。

摘要:

我们考虑了一个用于描述晚期宇宙演化的动力学情景,旨在缓解哈勃张力。具体而言,我们研究了 Jordan 标架中的度规 f(R) 引力,并将其应用于平坦各向同性宇宙的动力学。该宇宙学模型纳入了由宇宙引力场随时间变化所导致的物质创生过程。我们通过将各向同性宇宙(具体而言,是一个给定的基准体积)表示为开放热力学系统,对粒子创生进行建模。所得动力学模型包含四个未知量:哈勃参数、非最小耦合标量场、其势能以及物质组分的能量密度。我们施加适当条件,以导出这些关于红移的函数的封闭方程组。在该模型中,当前宇宙的真空能量密度由标量场势能决定,这与修正引力情景一致。因此,我们构建了一个可行模型,事后确定 f(R) 理论的形式,并适当约束物质创生过程的唯象参数以消除快子模式。最后,通过分析允许的参数空间,我们证明哈勃参数的 Planck 演化能够与晚期宇宙动力学相协调,从而缓解哈勃张力。

英文摘要:

We consider a dynamic scenario for characterizing the late Universe evolution, aiming to mitigate the Hubble tension. Specifically, we consider a metric $f(R)$ gravity in the Jordan frame which is implemented to the dynamics of a flat isotropic Universe. This cosmological model incorporates a matter creation process, due to the time variation of the cosmological gravitational field. We model particle creation by representing the isotropic Universe (specifically, a given fiducial volume) as an open thermodynamic system. The resulting dynamical model involves four unknowns: the Hubble parameter, the non-minimally coupled scalar field, its potential, and the energy density of the matter component. We impose suitable conditions to derive a closed system for these functions of the redshift. In this model, the vacuum energy density of the present Universe is determined by the scalar field potential, in line with the modified gravity scenario. Hence, we construct a viable model, determining the form of the $f(R)$ theory a posteriori and appropriately constraining the phenomenological parameters of the matter creation process to eliminate tachyon modes. Finally, by analyzing the allowed parameter space, we demonstrate that the Planck evolution of the Hubble parameter can be reconciled with the late Universe dynamics, thus alleviating the Hubble tension.

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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