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

DOI10.1088/1475-7516/2021/09/014zbMath1486.83063arXiv2105.12970OpenAlexW3165313306MaRDI QIDQ5061957

Jackson Levi Said, Reginald Christian S. Bernardo

Publication date: 14 March 2022

Published in: Journal of Cosmology and Astroparticle Physics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2105.12970

zbMATH Keywords

modified gravitydark energy theory

Mathematics Subject Classification ID

Nuclear physics (81V35) Geometrodynamics and the holographic principle (83E05) Hydro- and aero-acoustics (76Q05) Macroscopic interaction of the gravitational field with matter (hydrodynamics, etc.) (83C55) Relativistic gravitational theories other than Einstein's, including asymmetric field theories (83D05) Constrained dynamics, Dirac's theory of constraints (70H45) Dark matter and dark energy (83C56)

Related Items (2)

Gaussian processes reconstruction of the dark energy potential ⋮ Neural network reconstruction of H'(z) and its application in teleparallel gravity

Uses Software

• SciPy
• NumPy
• Matplotlib
• Scikit
• Seaborn
• Jupyter
• GetDist
• Cobaya

Cites Work

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• The cosmological constant problem
• The Einstein Tensor and Its Generalizations

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