f(Q) gravity as a possible resolution of the H0 and S8 tensions with DESI DR2.

IF 3.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
N S Kavya, Sai Swagat Mishra, P K Sahoo
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引用次数: 0

Abstract

The symmetric teleparallel framework brings about the possibility of alleviating cosmological tensions. The current burning issue in cosmological studies is the increase in discrepancies in measurements from several surveys. Here, we have focused on [Formula: see text] and [Formula: see text] tensions, which are important factors in describing the evolution of the Universe from primordial perturbation to late-time acceleration. Additionally, the consistency of the sound horizon is verified against the Planck results. The [Formula: see text] gravity model is constrained using recently obtained data. Implementing gravitational wave data to study late-time acceleration is one of the key features of our study. Since standard sirens show promising results, the implementation of gravitational waves to probe dark energy is an interesting study. Through our work, we introduce this possibility by performing statistical MCMC analysis for late-time cosmological evolution. Also, the [Formula: see text] and [Formula: see text] tensions are explored utilizing gravitational wave data alongside other prominent datasets, such as the latest DESI BAO, redshift space distortion, cosmic chronometers, Pantheon+SH0ES, and cosmic microwave background data. With the results obtained, we analyzed the profile of cosmological parameters. Finally, the study presents the tension of the model with observations, which is found to have a much lower magnitude compared to the current trend. Thus, the considered f(Q) model alleviates tension, making it the best candidate for further investigation.

f(Q)重力作为H0和S8张力与DESI DR2的可能分辨率。
对称遥平行框架带来了缓解宇宙张力的可能性。目前宇宙学研究中最紧迫的问题是几次调查中测量结果的差异越来越大。在这里,我们关注的是[公式:见文本]和[公式:见文本]张力,它们是描述宇宙从原始扰动到后期加速演化的重要因素。此外,根据普朗克结果验证了声视界的一致性。[公式:见文本]重力模型是用最近获得的数据进行约束的。利用引力波数据来研究后期加速度是本研究的关键特征之一。既然标准的警报器显示出有希望的结果,那么利用引力波探测暗能量是一项有趣的研究。通过我们的工作,我们通过对后期宇宙演化进行统计MCMC分析来引入这种可能性。此外,利用引力波数据和其他重要数据集(如最新的DESI BAO、红移空间失真、宇宙天文表、万神殿+SH0ES和宇宙微波背景数据)探索了[公式:见文本]和[公式:见文本]张力。根据得到的结果,我们分析了宇宙学参数的分布。最后,研究提出了模型与观测值的张力,发现与当前趋势相比,张力的幅度要小得多。因此,所考虑的f(Q)模型缓解了紧张,使其成为进一步研究的最佳候选。
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来源期刊
Scientific Reports
Scientific Reports Natural Science Disciplines-
CiteScore
7.50
自引率
4.30%
发文量
19567
审稿时长
3.9 months
期刊介绍: We publish original research from all areas of the natural sciences, psychology, medicine and engineering. You can learn more about what we publish by browsing our specific scientific subject areas below or explore Scientific Reports by browsing all articles and collections. Scientific Reports has a 2-year impact factor: 4.380 (2021), and is the 6th most-cited journal in the world, with more than 540,000 citations in 2020 (Clarivate Analytics, 2021). •Engineering Engineering covers all aspects of engineering, technology, and applied science. It plays a crucial role in the development of technologies to address some of the world''s biggest challenges, helping to save lives and improve the way we live. •Physical sciences Physical sciences are those academic disciplines that aim to uncover the underlying laws of nature — often written in the language of mathematics. It is a collective term for areas of study including astronomy, chemistry, materials science and physics. •Earth and environmental sciences Earth and environmental sciences cover all aspects of Earth and planetary science and broadly encompass solid Earth processes, surface and atmospheric dynamics, Earth system history, climate and climate change, marine and freshwater systems, and ecology. It also considers the interactions between humans and these systems. •Biological sciences Biological sciences encompass all the divisions of natural sciences examining various aspects of vital processes. The concept includes anatomy, physiology, cell biology, biochemistry and biophysics, and covers all organisms from microorganisms, animals to plants. •Health sciences The health sciences study health, disease and healthcare. This field of study aims to develop knowledge, interventions and technology for use in healthcare to improve the treatment of patients.
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