{"title":"Affine EoS cosmologies: Observational and dynamical system constraints","authors":"A. Singh , 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}
引用次数: 0
Abstract
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.
Astronomy and ComputingASTRONOMY & 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.