2021
DOI: 10.1140/epjc/s10052-021-08925-z
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Measurements of $$H_0$$ and reconstruction of the dark energy properties from a model-independent joint analysis

Abstract: Gaussian processes (GP) provide an elegant and model-independent method for extracting cosmological information from the observational data. In this work, we employ GP 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 $$H_0$$ H 0 , and recon… Show more

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Cited by 68 publications
(32 citation statements)
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“…In reference [264], it has been argued that the Hubble tension can be interpreted as an evidence for a non-constant dynamical DE at 3.5σ (see also reference [265]). A different approach aimed at reconstructing the DE properties using Gaussian processes constrains the Hubble constant as H 0 = 73.78 ± 0.84 km s −1 Mpc −1 at 68% CL, using a joint analysis of the geometrical cosmological probes such as SNIa, CC, BAO, and the H0LiCOW lenses sample [266]. Finally, a reconstruction of the dynamical DE using the latest measurements has been studied also in reference [267].…”
Section: Late Dark Energymentioning
confidence: 99%
“…In reference [264], it has been argued that the Hubble tension can be interpreted as an evidence for a non-constant dynamical DE at 3.5σ (see also reference [265]). A different approach aimed at reconstructing the DE properties using Gaussian processes constrains the Hubble constant as H 0 = 73.78 ± 0.84 km s −1 Mpc −1 at 68% CL, using a joint analysis of the geometrical cosmological probes such as SNIa, CC, BAO, and the H0LiCOW lenses sample [266]. Finally, a reconstruction of the dynamical DE using the latest measurements has been studied also in reference [267].…”
Section: Late Dark Energymentioning
confidence: 99%
“…The literature already hosts a number of examples of the possible uses of Gaussian processes to test certain aspects of the present cosmological paradigm in model-agnostic ways. For example, one can find tests for the model dependence of the 𝐻 0 (Gómez-Valent & Amendola 2018; Cai et al 2020;Liao et al 2020;Bonilla et al 2021) and 𝑆 8 (Benisty 2021) tensions, for the non-zero curvature of space-time (Vagnozzi et al 2021;Yang & Gong 2021), as well as tests for the density and the equation of state of dark energy (Gerardi et al 2019;Zhang & Li 2018). More closely related to the topic of this work, in Perenon et al (2021) Gaussian processes were used to study the statistical correlations between the expansion history, cosmological distances, and the linear growth rate without appealing to the physical relationships between the three functions.…”
Section: Introductionmentioning
confidence: 99%
“…respectively. Here µ(z) is the a prior mean function, which is commonly set to zero, µ(z) = 0 (Yu et al 2018;Seikel et al 2012;Bonilla et al 2021;Renzi & Silvestri 2020). The µ(z) in our work is set to zero as well.…”
Section: Gaussian Processes (Gp)mentioning
confidence: 99%