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• W2015120944 abstract "We make a comparative analysis of the various independent methods proposed in the literature for studying the nature of dark energy, using four different mocks of SnIa data. In particular, we explore a generic principal components analysis approach, the genetic algorithms, a series of approximations like Pad'e power law approximants, and various expansions in orthogonal polynomials, as well as cosmography, and compare them with the usual fit to a model with a constant dark energy equation of state w. We find that, depending on the mock data, some methods are more efficient than others at distinguishing the underlying model, although there is no universally better method." @default.
• W2015120944 created "2016-06-24" @default.
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• W2015120944 date "2013-09-17" @default.
• W2015120944 modified "2023-10-18" @default.
• W2015120944 title "Comparative analysis of model-independent methods for exploring the nature of dark energy" @default.
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• W2015120944 doi "https://doi.org/10.1103/physrevd.88.063521" @default.
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