1306.4885 (Savvas Nesseris et al.)

Comparative analysis of model independent methods for exploring the nature of dark energy    [PDF]

Savvas Nesseris, Juan Garcia-Bellido

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 PCA 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 $w$CDM. 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.

View original: http://arxiv.org/abs/1306.4885