Tension between SNeIa and BAO: current status and future forecasts

2011/03/31 by Celia Escamilla‐Rivera, Celia Escamilla-Rivera, Ruth Lazkoz +2 · 4 citations
Earth and Planetary Sciences · Environmental Science · Mathematics · Physics and Astronomy · #Algorithm #Applied mathematics #Artificial intelligence #Astrophysics #Baryon acoustic oscillations #Classical mechanics #Climate variability and models #Computer science #Cosmology #Cosmology and Gravitation Theories #Current (fluid) #Dark energy #Econometrics #Equation of state #Geophysics and Gravity Measurements #Mathematics #Physics #Power (physics) #Prior probability #Quality (philosophy) #Quantum mechanics #Statistical physics #Surface tension #Tension (geology) #Theoretical physics #Thermodynamics #astro-ph.CO #gr-qc

paper · pdf · doi:10.1088/1475-7516/2011/09/003

published as JCAP 1109 (2011) 003 · 21 pages, under review in JCAP

arxiv created 2011/07/07 · openalex publication_date 2011/09/01 · arxiv updated 2015/05/27 · openalex created_date 2016/06/24 · openalex updated_date 2026/08/05

Abstract

Using real and synthetic Type Ia SNe (SNeIa) and baryon acoustic oscillations (BAO) data representing current observations forecasts, this paper investigates the tension between those probes in the dark energy equation of state (EoS) reconstruction considering the well known CPL model and Wang's low correlation reformulation. In particular, here we present simulations of BAO data from both the the radial and transverse directions. We also explore the influence of priors on Ω m and Ω b on the tension issue, by considering 1σ deviations in either one or both of them. Our results indicate that for some priors there is no tension between a single dataset (either SNeIa or BAO) and their combination (SNeIa+BAO). Our criterion to discern the existence of tension (σ-distance) is also useful to establish which is the dataset with most constraining power; in this respect SNeIa and BAO data switch roles when current and future data are considered, as forecasts predict and spectacular quality improvement on BAO data. We also find that the results on the tension are blind to the way the CPL model is addressed: there is a perfect match between the original formulation and that by the correlation optimized proposed in Wang (2008) , but the errors on the parameters are much narrower in all cases of our exhaustive exploration, thus serving the purpose of stressing the convenience of this reparametrization.

Citations

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Cited by

• Violation of the FRW consistency condition as a signature of backreaction
• Wormholes minimally violating the null energy condition
• Testing distance duality with CMB anisotropies
• Comparative study of dark energy constraints from current observational data

Related

• Reconstructing the dark energy density in light of DESI BAO observations
• Reconstructing the equation of state and density parameter for dark energy from combined analysis of recent SNe Ia, OHD and BAO data
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• Controlled Tension Forecasting: Quantifying Cross-Probe Biases in ω₀ω_aCDM
• Quantification of 2D vs 3D BAO tension using SNIa as a redshift interpolator and test of the Etherington relation