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    What it takes to solve the Hubble tension through scale-dependent modifications of the primordial power spectrum

    Nanoom Lee1,2,*, Matteo Braglia1,†, and Yacine Ali-Haïmoud1,‡

    • 1Center for Cosmology and Particle Physics, Department of Physics, New York University, New York, New York 10003, USA
    • 2William H. Miller III Department of Physics and Astronomy, Johns Hopkins University, Baltimore, Maryland 21218, USA

    • *Contact author: nanoom.lee@jhu.edu
    • †Contact author: mb9289@nyu.edu
    • ‡Contact author: yah2@nyu.edu

    Phys. Rev. D 112, 083506 – Published 6 October, 2025

    DOI: https://doi.org/10.1103/9q3f-5zrd

    Abstract

    We investigate scale-dependent modifications to the primordial scalar power spectrum as potential solutions to the Hubble tension. We use the Fisher-bias formalism, recently adapted to examine perturbed recombination solutions to the Hubble tension, and extend its range of validity with an iterative method. We first analyze the Planck cosmic microwave background (CMB) anisotropy data, demonstrating the existence of modifications to the primordial power spectrum capable of fully resolving the tension between Planck and SH0ES (Supernovae and H0 for the Equation of State of dark energy). As a proof of concept, we interpret these solutions in terms of small, time-dependent variations in the first slow-roll parameter or in the sound speed of curvature perturbations during a stage of primordial inflation. However, these solutions are associated with a low total matter density Ωm, which makes them inconsistent with baryon acoustic oscillations (BAO) and uncalibrated supernovae (SNIa) data. When incorporating additional BOSS and PantheonPlus data, the solutions that reduce the Hubble tension tend to overfit Planck CMB data to compensate for the worsened fit to BAO and SNIa data, making them less compelling. These findings suggest that modifying the primordial power spectrum alone is unlikely to provide a robust resolution to the tension and highlight how the viability of such data-driven solutions depends on the specific datasets considered, emphasizing the role of future high-precision observations in further constraining possible resolutions to the tension.

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