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Cosmological viable models in $f(T,B)$ gravity as solutions to the $H_0$ tension
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abstract
In this work we present a further investigation about Teleparallel Gravity Cosmology. We demonstrate that according the current astrophysical data (CC+Pantheon+BAO samplers with late universe measurements SH0ES+H0LiCOW), an $f(T,B)$ theory can provide another interpretation to the oscillatory behaviour of the dark energy equation of state when applied to late times. The four $f(T,B)$ cosmological viable models proposed here can undergo an epoch of late-time acceleration and reproduce quintessence and phantom regimes with a transition along the phantom-divided line, making this theory a good approach to modify the standard $\Lambda$CDM model.
Forward citations
Cited by 5 Pith papers
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Early- and late-time constraints on Wald-Gauss-Bonnet topological dark energy and implications for the $H_0$ and $S_8$ tensions
A joint CMB, BAO, and supernova fit mildly prefers a non-zero Wald-Gauss-Bonnet dark-energy term (~3σ with SH0ES included), raising H0 from 68.5 to 69.8 km/s/Mpc and easing the Hubble tension by ~0.9σ at the cost of a...
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Hubble tension in k-essence: Evidence for robust tension alleviation
Dilaton and tachyon k-essence models robustly reduce Planck–late-Universe H0 tension to 0.14σ and 0.69σ without dataset-dependent fine-tuning of model parameters.
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Charged black hole solutions in $f(R,T)$ gravity coupled to nonlinear electrodynamics
The authors derive a family of charged black hole metrics in f(R,T)=R+βT gravity with Lagrangian L=f0+F+αF^p, show they have curvature singularities at the origin, and use the Sgr A* shadow to place weak upper bounds ...
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Cosmological solutions in teleparallel $F(T,B)$ gravity
A catalog of power-law F(T,B) gravity functions that solve teleparallel Robertson-Walker field equations for linear, quadratic, and scalar-field sources.
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Late Time Phenomena in $f(T,\mathcal{T})$ Gravity Framework: Role of $H_0$ Priors
An f(T,T) gravity model fitted to Pantheon+, BAO, and cosmic chronometer data yields a range of H0 posteriors that track the input priors, and predicts a growth rate about 9-11% below ΛCDM for two data combinations.
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