Cosmic clues: DESI, dark energy, and the cosmological constant problem

Author:

Yin WenORCID

Abstract

Abstract Several attempts to solve the cosmological constant problem, which concerns the value of the cosmological constant being extremely smaller than the Standard Model mass scales, have introduced a scalar field with a very flat potential that can be approximated as linear around any given position. The scalar field scans the cosmological constant in such a way that the current small value is explained. Recently, Dark Energy Spectroscopic Instrument (DESI) reported the results of the first year. Combining the data with CMB, Pantheon, Union3, and/or DES-SN5YR, there is a preference or anomaly, indicating that the dark energy in the current Universe slightly deviates from that in the ΛCDM model and varies over time. In this paper, I show that the simple linear potential of a scalar field that may explain the small cosmological constant, can explain the DESI anomaly. The conclusions do not change by including or not including a thermal friction effect. In particular, the model proposed by the present author in [1], which relaxes the cosmological constant by the condition that inflation ends, predicts a time-dependence of the dark energy close to the one favored by the data.

Publisher

Springer Science and Business Media LLC

Reference41 articles.

1. W. Yin, Small cosmological constant from a peculiar inflaton potential, Phys. Rev. D 106 (2022) 055014 [arXiv:2108.04246] [INSPIRE].

2. DESI collaboration, DESI 2024 VI: Cosmological Constraints from the Measurements of Baryon Acoustic Oscillations, arXiv:2404.03002 [INSPIRE].

3. D. Brout et al., The Pantheon+ Analysis: Cosmological Constraints, Astrophys. J. 938 (2022) 110 [arXiv:2202.04077] [INSPIRE].

4. D. Rubin et al., Union Through UNITY: Cosmology with 2,000 SNe Using a Unified Bayesian Framework, arXiv:2311.12098 [INSPIRE].

5. DES collaboration, The Dark Energy Survey: Cosmology Results With ~ 1500 New High-redshift Type Ia Supernovae Using The Full 5-year Dataset, arXiv:2401.02929 [INSPIRE].

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