Using real and synthetic Type Ia SNe (SNeIa) and baryon acoustic oscillations (BAO) data representingcurrent observations forecasts, this paper investigates the tension between thoseprobes in the dark energy equation of state (EoS) reconstruction considering thewell known CPL model and Wang's low correlation reformulation. In particular, here we presentsimulations of BAO data from both the the radial andtransverse directions. We also explore the influence of priors on Ωm andΩb on the tension issue, by considering 1σ deviations in either one or bothof 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 discernthe existence of tension (σ-distance) is also useful to establish which is the datasetwith most constraining power; in this respect SNeIa and BAO data switch roles when current andfuture data are considered, as forecasts predict and spectacular quality improvement on BAOdata. We also find that the results on the tension are blind to the way the CPL model isaddressed: there is a perfect match between the original formulation and that by the correlationoptimized proposed in Wang (2008), but the errors on the parameters are much narrowerin all cases of our exhaustive exploration, thus serving the purpose of stressing the convenienceof this reparametrization.
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