Swampland criteria for a dark-energy dominated universe, ensuing from Gaussian process and H(z) data analysis
arXiv:1811.03861 · doi:10.1103/PhysRevD.99.103533
Abstract
Implications of the string Swampland criteria for a dark energy dominated universe, obtained by using Gaussian processes and data analysis, are discussed. In particular, the Swampland criteria for a scalar-field dark energy, without assuming any specific form for the potential. By allowing the Gaussian process to reconstruct the form of the potential from data, upper bounds on the second Swampland criterion (involving ) for two different kernel functions (the squared exponential and Matern~() kernels) are estimated . The approach here differs from previous studies, since the upper bound of the second Swampland criterion is derived in a thoroughly model-independent way, without resorting to a model-to-model comparison strategy. The analysis is performed using the latest values of reported by the Planck and Hubble missions. Results for the estimation of the constant of hint towards the possibility of getting upper bounds well behind the estimations for the dark energy dominated universe as reported in previous studies, which involved model-to-model comparison. Estimations from this new approach turn to be quite sensitive and just depend on the quality of the data and on the kernel employed. This study is a first attempt towards the exploitation of the Swampland criteria in a model-independent way and may be extended to involve other datasets and, also, in trying to understand what is the impact of higher-redshift data on the upper bounds. In the analysis, -point data have been used, consisting of a -point sample deduced from a differential age method and an additional -point sample obtained from the radial BAO method. Hints towards the possibility of eventually disproving the Swampland conjecture are noted.
arXiv comment13 pages, 5 figures, 1 table
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