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Reconstruction of symmteric teleparallel gravity with energy conditions

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arxiv 2311.16527 v1 pith:2NXDVFYB submitted 2023-11-28 gr-qc

Irfan Mahmood , Hira Sohail , Allah Ditta , S. H. Shekh , Anil Kumar Yadav This is my paper · ORCID
classification gr-qc
keywords dataenergyconditionscosmicgravityomegapantheonparameter
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abstract

This research investigates the impact of modified gravity on cosmic scales, focusing on $f(Q)$ cosmology. By applying energy conditions, the study reconstructs various $f(Q)$ models, considering an accelerating Universe, quintessence, and a cosmological constant $\Lambda$. Using up-to-date observational data, including the Supernova Pantheon sample and cosmic chronometer data, Hubble constants $H_0$ are estimated as $70.37^{+0.84}_{-0.92}$ km/sec/Mpc (from $H(z)$ data) and $70.02^{+0.44}_{-0.25}$ km/sec/Mpc (from pantheon compilation of SN Ia data). The matter energy density parameter ($\Omega_{0m}$) is calculated as $0.26^{0.015}_{-0.010}$(OHD) and $0.27^{0.025}_{-0.014}$(SN Ia). Furthermore, as a function of redshift $z$, explicit expressions of $f(Q)$ and the EOS parameter $\omega$ are produced, and their graphical analysis describes the late time acceleration of the Universe without the usage of dark energy.

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Cited by 2 Pith papers

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

  1. Constraints on Logarithmic Model Extensions of Symmetric Teleparallel Gravity

    astro-ph.CO 2025-08 conditional novelty 5.0 of 10

    Two new logarithmic f(Q) gravity models fit current cosmological data and predict contrasting, testable deviations in the effective gravitational coupling and gravitational-wave damping.

  2. Dynamical Dark Energy or Modified Gravity? Signatures in Gravitational Wave Propagation

    gr-qc 2025-09 conditional novelty 4.0 of 10

    Reconstructing the dark energy density from DESI BAO and DESyr5 supernovae, then recasting it as f(Q) gravity, predicts a low-redshift gravitational wave damping ν≈0.18 (≳2σ from GR) only for the DESyr5 dataset.

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