Affine EoS 宇宙学:观测和动力系统制约因素

IF 1.9 4区 物理与天体物理 Q2 ASTRONOMY & ASTROPHYSICS
A. Singh , S. Krishnannair
{"title":"Affine EoS 宇宙学:观测和动力系统制约因素","authors":"A. Singh ,&nbsp;S. Krishnannair","doi":"10.1016/j.ascom.2024.100827","DOIUrl":null,"url":null,"abstract":"<div><p>Within the framework of homogeneous and isotropic metric having flat spatial sections, we show that the accelerating universe expansion phenomena may be addressed with the dark fluid satisfying affine equation of state (EoS). The constraints on model parameters are presented by utilizing the late-times cosmic observational data and dynamical system perspectives. The late-time constraints on the model parameters are placed by using the Bayesian Monte Carlo method analysis. The dynamical system constraints are imposed by using the linear stability theory. We further analyze the behavior of cosmographic parameters, statefinder diagnostic and the energy conditions to explore different features of the universe in model. The cosmological parameters with the best fit values suggest that the universe is expanding with acceleration, classically stable and free from the finite-time future singularities.</p></div>","PeriodicalId":48757,"journal":{"name":"Astronomy and Computing","volume":"47 ","pages":"Article 100827"},"PeriodicalIF":1.9000,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Affine EoS cosmologies: Observational and dynamical system constraints\",\"authors\":\"A. Singh ,&nbsp;S. Krishnannair\",\"doi\":\"10.1016/j.ascom.2024.100827\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Within the framework of homogeneous and isotropic metric having flat spatial sections, we show that the accelerating universe expansion phenomena may be addressed with the dark fluid satisfying affine equation of state (EoS). The constraints on model parameters are presented by utilizing the late-times cosmic observational data and dynamical system perspectives. The late-time constraints on the model parameters are placed by using the Bayesian Monte Carlo method analysis. The dynamical system constraints are imposed by using the linear stability theory. We further analyze the behavior of cosmographic parameters, statefinder diagnostic and the energy conditions to explore different features of the universe in model. The cosmological parameters with the best fit values suggest that the universe is expanding with acceleration, classically stable and free from the finite-time future singularities.</p></div>\",\"PeriodicalId\":48757,\"journal\":{\"name\":\"Astronomy and Computing\",\"volume\":\"47 \",\"pages\":\"Article 100827\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2024-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Astronomy and Computing\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2213133724000428\",\"RegionNum\":4,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ASTRONOMY & ASTROPHYSICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Astronomy and Computing","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2213133724000428","RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ASTRONOMY & ASTROPHYSICS","Score":null,"Total":0}
引用次数: 0

摘要

在具有平坦空间截面的均质和各向同性度量框架内,我们展示了可以用满足仿射状态方程(EoS)的暗流体来解决宇宙加速膨胀现象。通过利用晚期宇宙观测数据和动力学系统观点,提出了对模型参数的约束。模型参数的晚期约束是通过贝叶斯蒙特卡罗方法分析得出的。利用线性稳定性理论对动力系统进行约束。我们进一步分析了宇宙学参数、状态探测器诊断和能量条件的行为,以探索模型中宇宙的不同特征。最佳拟合值的宇宙学参数表明,宇宙正在加速膨胀,具有经典稳定性,不存在有限时间未来奇点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Affine EoS cosmologies: Observational and dynamical system constraints

Within the framework of homogeneous and isotropic metric having flat spatial sections, we show that the accelerating universe expansion phenomena may be addressed with the dark fluid satisfying affine equation of state (EoS). The constraints on model parameters are presented by utilizing the late-times cosmic observational data and dynamical system perspectives. The late-time constraints on the model parameters are placed by using the Bayesian Monte Carlo method analysis. The dynamical system constraints are imposed by using the linear stability theory. We further analyze the behavior of cosmographic parameters, statefinder diagnostic and the energy conditions to explore different features of the universe in model. The cosmological parameters with the best fit values suggest that the universe is expanding with acceleration, classically stable and free from the finite-time future singularities.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信