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A data-driven Reconstruction of Horndeski gravity via the Gaussian processes

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arxiv 2105.12970 v2 pith:YJEWJM66 submitted 2021-05-27 astro-ph.CO gr-qc

Reginald Christian Bernardo , Jackson Levi Said This is my paper · ORCID
classification astro-ph.COgr-qc
keywords horndeskidataexpansionfunctiongaussiangravityhubblemethod
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We reconstruct the Hubble function from cosmic chronometers, supernovae, and baryon acoustic oscillations compiled data sets via the Gaussian process (GP) method and use it to draw out Horndeski theories that are fully anchored on expansion history data. In particular, we consider three well-established formalisms of Horndeski gravity which single out a potential through the expansion data, namely: quintessence potential, designer Horndeski, and tailoring Horndeski. We discuss each method in detail and complement it with the GP reconstructed Hubble function to obtain predictive constraints on the potentials and the dark energy equation of state.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Hubble tension: the shape wall

    astro-ph.CO 2026-07 accept novelty 6.0 of 10

    Late-time modifications to the expansion history can raise H0 by at most about 2% (conservative) to 3.7% (permissive) if the CMB acoustic scale is fixed.

  2. Nonlinear reconstruction of general dark energy theories

    astro-ph.CO 2025-07 conditional novelty 6.0 of 10

    A reconstruction method is derived that turns background expansion and linear perturbation data into full non-linear Lagrangians for quintessence, scalar-tensor, k-essence, and shift-symmetric cubic Galileon dark ener...

  3. Cosmological scalar perturbations in Horndeski-like gravity

    gr-qc 2025-01 conditional novelty 4.0 of 10

    For a Horndeski-like scalar-tensor model with a chosen background solution, scalar stability and entropy-production bounds restrict the coupling gamma to be non-positive and constrain gamma*Lambda relative to alpha.

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