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    Addressing the DESI DR2 phantom-crossing anomaly and enhanced H0 tension with reconstructed scalar-tensor gravity

    Dimitrios Efstratiou*, Evangelos Achilleas Paraskevas†, and Leandros Perivolaropoulos‡

    • *Contact author: d.efstratiou@uoi.gr
    • †Contact author: e.paraskevas@uoi.gr
    • ‡Contact author: leandros@uoi.gr

    Phys. Rev. D 113, 123525 – Published 12 June, 2026

    DOI: https://doi.org/10.1103/zdcg-4sdf

    Abstract

    Recent cosmological data, including DESI DR2, highlight significant tensions within the ΛCDM paradigm. When analyzed in the context of general relativity (GR), the latest DESI data favor a dynamical dark energy (DDE) equation of state, w(z), that crosses the phantom divide line w=−1. However, this framework prefers a lower Hubble constant, H0, than Planck 2018, thereby worsening the tension with local measurements. This phantom crossing is a key feature that cannot be achieved by minimally coupled scalar fields (quintessence) within GR. This suggests the need for a new degree of freedom that can simultaneously: (A) increase the best-fit value of H0 in the context of the DESI DR2 data, and (B) allow the crossing of the w=−1 line within a new theoretical approach. We argue that both of these goals may be achieved in the context of modified gravity (MG), and in particular, scalar-tensor (ST) theories, where phantom crossing is a natural and viable feature. We demonstrate these facts by analyzing a joint dataset including DESI DR2, Pantheon+, CMB, and growth-rate (RSD) data in the context of simple parametrizations for the effective gravitational constant, μG(z)≡Geff/GN, and the DDE equation of state, w(z). This MG framework significantly alleviates the tension, leading to a higher inferred value of H0=70.6±1.4  km s−1 Mpc−1. We also present a systematic, data-driven reconstruction of the required underlying ST Lagrangian and provide simple, generic analytical expressions for both the nonminimal coupling F(Φ)=1+ξΦ2enΦ and the scalar potential U(Φ)=U0+aebΦ2, which well describe the reconstructed functions.

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