分形引力中湿暗流体模型的观测约束

IF 2.6 4区 物理与天体物理 Q2 ASTRONOMY & ASTROPHYSICS Astronomy and Computing Pub Date : 2024-07-01 Epub Date: 2024-06-08 DOI:10.1016/j.ascom.2024.100848
D.D. Pawar , D.K. Raut , A.P. Nirwal , Shaily , J.K. Singh
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引用次数: 0

摘要

在分形引力的基础上研究了带有湿暗流体的平面弗里德曼-罗伯逊-沃克(FRW)宇宙学模型。利用线性时变减速参数(Akars̈u 和 Dereli,2012 年)并假设分形参数ξ≠0,得到了场方程的精确解。我们利用哈勃数据集 H(z)的 77 个数据点(称为宇宙计时器(CC))、最近发表的潘神数据集以及联合数据(CC+潘神样本)对模型中涉及的模型参数进行了约束。此外,我们还通过误差条轨迹将我们的模型与标准宇宙学中的ΛCDM 进行了比较。我们研究了宇宙观测下的物理参数和宇宙学参数,如哈勃参数 H(z)、减速参数 q(z)和减速参数 q(z)的高阶导数等。据观测,我们的模型在ztr≈2.764时从减速状态过渡到加速状态。此外,我们还讨论了其他天体物理参数,如跃迁参数和弹跳参数。最后,我们得出结论:我们的模型是一个加速五元暗能量模型。
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Observational constraints on the wet dark fluid model in the fractal gravity

A flat Friedmann–Robertson–Walker (FRW) cosmological model with Wet Dark Fluid has been studied based on fractal gravity. The exact solution of the field equations is obtained using linear time-varying deceleration parameter (Akars̈u and Dereli, 2012) and assuming fractal parameter ξ0. The model parameters involved in the model have been constrained using the Hubble datasets H(z) of 77 data points, known as cosmic chronometers (CC), recently published Pantheon, and the joint data (CC+Pantheon samples). Additionally, we compare our model with ΛCDM in standard cosmology via error bar trajectories. We study the physical and the cosmographic parameters, such as the Hubble parameter H(z), deceleration parameter q(z), and the higher derivatives of the deceleration parameter q(z), etc. under cosmic observations. It is observed that our model transits from a decelerating state to an accelerating state at ztr2.764. The other astrophysical parameters such as the jerk parameter and snap parameter are also discussed. Finally, we conclude that our model is an accelerating quintessence dark energy model.

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来源期刊
Astronomy and Computing
Astronomy and Computing ASTRONOMY & ASTROPHYSICSCOMPUTER SCIENCE,-COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
CiteScore
4.10
自引率
8.00%
发文量
67
期刊介绍: Astronomy and Computing is a peer-reviewed journal that focuses on the broad area between astronomy, computer science and information technology. The journal aims to publish the work of scientists and (software) engineers in all aspects of astronomical computing, including the collection, analysis, reduction, visualisation, preservation and dissemination of data, and the development of astronomical software and simulations. The journal covers applications for academic computer science techniques to astronomy, as well as novel applications of information technologies within astronomy.
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