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Constraining Teleparallel Gravity through Gaussian Processes

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In this article, the authors apply Gaussian processes (GP) in order to impose constraints on teleparallel gravity and its $f(T)$ extensions, and reconstruct the model-independent evolution of the dark energy equation of state.
Abstract
We apply Gaussian processes (GP) in order to impose constraints on teleparallel gravity and its $f(T)$ extensions. We use available $H(z)$ observations from (i) cosmic chronometers data (CC); (ii) Supernova Type Ia (SN) data from the compressed Pantheon release together with the CANDELS and CLASH Multi-Cycle Treasury programs; and (iii) baryonic acoustic oscillation (BAO) datasets from the Sloan Digital Sky Survey. For the involved covariance functions, we consider four widely used choices, namely the square exponential, Cauchy, Matern and rational quadratic kernels, which are consistent with one another within 1$\sigma$ confidence levels. Specifically, we use the GP approach to reconstruct a model-independent determination of the Hubble constant $H_0$, for each of these kernels and dataset combinations. These analyses are complemented with three recently announced literature values of $H_0$, namely (i) Riess $H_0^{\rm R} = 74.22 \pm 1.82 \,{\rm km\, s}^{-1} {\rm Mpc}^{-1}$; (ii) H0LiCOW Collaboration $H_0^{\rm HW} = 73.3^{+1.7}_{-1.8} \,{\rm km\, s}^{-1} {\rm Mpc}^{-1}$; and (iii) Carnegie-Chicago Hubble Program $H_0^{\rm TRGB} = 69.8 \pm 1.9 \,{\rm km\, s}^{-1} {\rm Mpc}^{-1}$. Additionally, we investigate the transition redshift between the decelerating and accelerating cosmological phases through the GP reconstructed deceleration parameter. Furthermore, we reconstruct the model-independent evolution of the dark energy equation of state, and finally reconstruct the allowed $f(T)$ functions. As a result, the $\Lambda$CDM model lies inside the allowed region at 1$\sigma$ in all the examined kernels and datasets, however a negative slope for $f(T)$ versus $T$ is slightly favored.

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Journal ArticleDOI

Cosmology Intertwined: A Review of the Particle Physics, Astrophysics, and Cosmology Associated with the Cosmological Tensions and Anomalies

Elcio Abdalla, +202 more
TL;DR: In this paper , the authors focus on the 5.0σ tension between the Planck CMB estimate of the Hubble constant H0 and the SH0ES collaboration measurements and discuss the importance of trying to fit a full array of data with a single model.
Journal ArticleDOI

Galactic Rotation Dynamics in f(T) gravity

TL;DR: In this article, the authors investigated the galactic rotation curves in the Lagrangian of the galaxy and found good agreement with data without the need for exotic matter components to be introduced.
Journal ArticleDOI

Measurements of $$H_0$$ and reconstruction of the dark energy properties from a model-independent joint analysis

TL;DR: In this paper, the authors employ Gaussian processes to perform a joint analysis by using the geometrical cosmological probes such as Supernova Type Ia (SN), Cosmic chronometers (CC), Baryon Acoustic Oscillations (BAO), and the H0LiCOW lenses sample to constrain the Hubble constant.
Journal ArticleDOI

Dynamical complexity of the Teleparallel gravity cosmology

TL;DR: This paper considers a generalisation of the dynamical system by imposing a non-constant degree of freedom over it which allows to rewrite a generic autonomous dynamical analysis.
Posted ContentDOI

Stability analysis for cosmological models in $f(T,B)$ gravity

TL;DR: In this article, the cosmological viable functions of the gravity model were considered and three specific models of gravity were presented, which have a general form of the solutions by writing the equations of motion as an autonomous system.
References
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Book

Information Theory, Inference and Learning Algorithms

TL;DR: A fun and exciting textbook on the mathematics underpinning the most dynamic areas of modern science and engineering.
Book

Information theory, inference, and learning algorithms

Djc MacKay
TL;DR: In this paper, the mathematics underpinning the most dynamic areas of modern science and engineering are discussed and discussed in a fun and exciting textbook on the mathematics underlying the most important areas of science and technology.
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