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August 1, 2025Journal of Cosmology and Astroparticle Physics23 citations

Cosmological constraints on dark energy models using DESI BAO 2024

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JZJie ZhengDQDa-Chun QiangZYZhi-Qiang You

Key Points

  • The analysis shows a pronounced deviation from the ΛCDM model when combining DESI BAO, SNe Ia, and QSO data.
  • Using four parameterized models, the findings highlight the role of baryon acoustic oscillations in understanding dark energy.
  • This observational analysis utilizes two versions of DESI BAO data to assess the impacts of luminous red galaxies.
  • Results indicate that the Chevallier-Polarski-Linder and Barboza-Alcaniz models receive substantial support based on statistical criteria.

Abstract

Abstract Recently, the measurements of baryon acoustic oscillations (BAO) by the Dark Energy Spectroscopic Instrument (DESI) indicate a potential deviation from the standard ΛCDM model. Some studies suggest that the data points from the luminous red galaxies (LRG) survey in DESI BAO data may contribute to this discrepancy. In this work, our main goal is to investigate whether this deviation is caused by the parameterization of the equation of state (EoS) of dark energy (DE). Hence, we have examined four popular parameterized dark energy models in our analysis: the Chevallier-Polarski-Linder (CPL), Barboza-Alcaniz (BA), Jassal-Bagla-Padmanabhan (JBP), and Feng-Shen-Li-Li (FSLL) parameterizations. Considering that LRG1 and LRG2 data points may lead to deviation from the ΛCDM model, we use two versions of DESI BAO data, differing in whether these data points are included. Additionally, to break the parameter degeneracies and obtain robust constraint results, we introduce Type Ia supernovae (SNe Ia) and quasars (QSO) in our analysis. Our findings indicate that in these parameterizations, the deviation from ( w 0 , w 1 )=(-1,0) becomes more pronounced when using the combined data from DESI BAO, SNe Ia, and QSO compilations. Here, w 0 and w 1 represent the EoS of DE. It suggests that the parameterizations of the EoS of DE have little impact on the deviation from the ΛCDM model. Besides, our analysis potentially hints that dark energy may have dynamic properties. In addition, the results obtained from different BAO datasets demonstrate that the LRG1 and LRG2 data points do indeed contribute to a deviation from the ΛCDM model. Finally, according to the statistical criteria, the Akaike Information Criterion (AIC) and the Bayesian Information Criterion (BIC), the joint constraints provide substantial observational support to the BA and FSLL models.

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Cite This Study

Zheng et al. (2025) studied this question.

synapsesocial.com/papers/68af494dad7bf08b1ead4d65https://doi.org/10.1088/1475-7516/2025/08/056
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