Bayesian inference methodology for primordial power spectrum reconstructions from Large Scale Structure
G. Martínez-Somonte,
A. Marcos-Caballero,
E. Martínez-González
et al.
Abstract:We use Bayesian inference to develop a non-parametric method to reconstruct the primordial power spectrum Pℛ
(k) from Large Scale Structure (LSS) data. The performance of the method is assessed by testing it against simulations of the clustering of high-z (QSOs) objects. Their clustering is derived from different templates of the primordial power spectrum motivated by models of inflation: the Standard Model power law characterized by the two parameters As
and ns
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