Bayesian analysis of f (T ) gravity using f σ8 data
Abstract
We use observational data from the Pantheon supernovae sample, direct Hubble constant measurements with cosmic chronometers, the cosmic microwave background shift parameter CMBshift , and redshift-space distortion (f σ8 ) measurements, in order to constrain f (T ) gravity. We do not follow the common γ parametrization within the semianalytical approximation of the growth rate, in order to avoid model-dependent uncertainties. To our knowledge this is the first time that f (T ) gravity has been analyzed within a Bayesian framework, and with background and perturbation behaviour considered jointly. We show that all three examined f (T ) models are able to adequately describe the f σ8 data. Furthermore, by applying the Akaike, Bayesian and deviance information criteria, we conclude that all considered models are statistically equivalent; however the most efficient candidate is the exponential model, which additionally presents a small deviation from the Λ CDM paradigm.
- Publication:
-
Physical Review D
- Pub Date:
- October 2019
- DOI:
- 10.1103/PhysRevD.100.083517
- arXiv:
- arXiv:1907.07533
- Bibcode:
- 2019PhRvD.100h3517A
- Keywords:
-
- Astrophysics - Cosmology and Nongalactic Astrophysics;
- General Relativity and Quantum Cosmology;
- High Energy Physics - Theory
- E-Print:
- 12 pages, 3 figures, 2 Tables, to appear in Phys.Rev.D