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arXiv 2306.08081gr-qc
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四维爱因斯坦-高斯-博内引力中的反弹行为:宇宙学检验与观测约束

Bouncing behaviours in four dimensional Einstein Gauss-Bonnet gravity with Cosmography and Observational constraints

M. Zubair, Mushayydha Farooq

AI总结:

本研究在四维爱因斯坦-高斯-博内引力框架下考察多种反弹宇宙模型,推导相关宇宙学参数,通过能量条件、宇宙学检验、稳定性分析及观测数据约束,明确反弹参数的显著影响并确定物质反弹模型的稳定性优势。

摘要:

本文针对4D Einstein Gauss-Bonnet(爱因斯坦-高斯-博内)引力中的反弹宇宙学展开研究,考察了对称反弹、物质反弹、超反弹、振荡反弹等多种反弹模型。研究以最通用的形式推导了能量密度、压强、状态方程参数的表达式,随后将其约化到各向同性、均匀的FLRW(弗里德曼-勒梅特-罗伯逊-沃尔克)宇宙下的4D Einstein Gauss-Bonnet引力框架中。文中还讨论了哈勃参数与减速参数的物理诠释,并基于非零标度因子针对每个模型绘制了对应的参数演化曲线。非奇异反弹模型可解释晚期宇宙加速膨胀现象,分析表明高斯-博内耦合参数对修正引力动力学的贡献较小,而反弹参数的影响则较为显著。研究检验了多种能量条件,发现反弹模型中存在强能量条件与零能量条件的破缺;同时以宇宙时间和红移为变量,推导了急动参数与猛动参数的解析表达式。研究通过特定宇宙学检验探究了各反弹模型的有效性,且稳定性分析显示,随着反弹参数取值增大,物质反弹成为最稳定的模型。为获取参数的最佳拟合值,研究利用哈勃数据集与ΛCDM模型对反弹模型进行了约束,采用最小二乘拟合法计算了参数取值,并通过约化卡方方法对各模型的H(z)数据集进行量化分析。

英文摘要:

This manuscript is based on an investigation of bouncing cosmology in a 4D Einstein Gauss-Bonnet gravity. Various bouncing models such as symmetric bounce, matter bounce, super bounce, and oscillatory bounce have been examined. Expressions for energy density, pressure, equation of state parameter have been derived in the most general manner and then reduced to 4D Einstein Gauss-Bonnet gravity for isotropic, homogenous, FLRW cosmos. Physical interpretation of Hubble and deceleration parameters has also been discussed and plotted for each model from non-vanishing scale factors. Non-singular bouncing models indulge in accelerating late-time cosmic acceleration phenomenon. It has been analysed that the Gauss-Bonnet coupling parameter has a lesser contribution to the dynamics of modified gravity while the bouncing parameter has noticeable effects. We have examined various energy conditions and witnessed the violation of strong and null energy conditions in bouncing models. Analytical expressions for jerk and snap parameters have also been calculated in terms of cosmic time and redshift. We have explored bouncing models through specific cosmographic tests to check their validity. Also, through stability analysis, matter bounce becomes the most stable model by increasing the value of the bouncing parameter. To find best-fit values, bouncing models have been constrained with Hubble data set and $Λ$CDM. We have calculated the values of parameters by applying the least-square fitting method. To make this analysis quantified, we have employed reduced chi-squared method on $H(z)$ data sets for each model.

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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