Constraining Teleparallel Gravity through Gaussian Processes
arXiv:2009.14582 · doi:10.1088/1361-6382/abd4f5
Abstract
We apply Gaussian processes (GP) in order to impose constraints on teleparallel gravity and its extensions. We use available 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, Matérn and rational quadratic kernels, which are consistent with one another within 1 confidence levels. Specifically, we use the GP approach to reconstruct a model-independent determination of the Hubble constant , for each of these kernels and dataset combinations. These analyses are complemented with three recently announced literature values of , namely (i) Riess ; (ii) H0LiCOW Collaboration ; and (iii) Carnegie-Chicago Hubble Program . 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 functions. As a result, the CDM model lies inside the allowed region at 1 in all the examined kernels and datasets, however a negative slope for versus is slightly favored.
arXiv comment36 pages, 16 figures
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