Status on Bidimensional Dark Energy Parameterizations Using SNe Ia JLA and BAO Datasets
Mesoamerican Centre for Theoretical Physics, Universidad Autónoma de Chiapas, Carretera Zapata Km. 4, Real del Bosque (Terán), Tuxtla Gutiérrez 29040, Chiapas, México
Academic Editor: Emilio Elizalde
Received: 31 May 2016 / Revised: 15 July 2016 / Accepted: 19 July 2016 / Published: 26 July 2016
Using current observations of forecast type Ia supernovae (SNe Ia) Joint Lightcurve Analysis (JLA) and baryon acoustic oscillations (BAO), in this paper we investigate six bidimensional dark energy parameterizations in order to explore which has more constraining power. Our results indicate that for parameterizations that contain
-terms, the tension (σ
-distance) between these datasets seems to be reduced and their behaviour is <1σ
compatible with the concordance model (ΛCDM). Also, the results obtained by performing their Bayesian evidence show a striking evidence in favour of the ΛCDM model, but only one parameterization can be distinguished by around
from the other models when the combination of datasets are considered.
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Escamilla-Rivera, C. Status on Bidimensional Dark Energy Parameterizations Using SNe Ia JLA and BAO Datasets. Galaxies 2016, 4, 8.
Escamilla-Rivera C. Status on Bidimensional Dark Energy Parameterizations Using SNe Ia JLA and BAO Datasets. Galaxies. 2016; 4(3):8.
Escamilla-Rivera, Celia. 2016. "Status on Bidimensional Dark Energy Parameterizations Using SNe Ia JLA and BAO Datasets." Galaxies 4, no. 3: 8.
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