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ISSN 1004-9037
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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      02 June 2023, Volume 38 Issue 3
    Article

    THE LATE TIME COSMOLOGICAL ACCELERATION: A BAYESIAN BATTLE
    Mrunmayee Panda*, Suman Rani Patra, Nikita Kandulna, Sgruti Mishra, Aloke Verma
    Journal of Data Acquisition and Processing, 2023, 38 (3): 2517-2526 . 

    Abstract

    The goal of cosmology is to characterize the Universe’s contents, distributions and motion. Why the Universe’s expansion rate is accelerating can be explained by Λ, a added factor to the Einstein field formula. The ΛCDM model is the most simple and widely used model, but it has some theatrical issues. Therefore, cosmologists are searching for its alternative. The barotropic fluid model, the canonical scalar field model and the non-canonical scalar field model are among them. In this study We provide a comparative examining dark energy models using Bayesian model selection. To do this, we utilize observational data of supernova type Ia, Hubble parameter and Baryon acoustic oscillation measurements.

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ISSN 1004-9037

         

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