Primordial Power Spectrum reconstructions from Large Scale Structure through a Bayesian inference method
Guillermo Martinez Somonte (Instituto de Física de Cantabria IFCA/CSIC, Santander, Spain)
Wednesday 30/11/2022 @ 14:00, Sala IV piano Battiferro - Presenza + remoto
We perform non-parametric primordial power spectrum of curvature perturbations reconstructions through bayesian inference, allowing N knots to be sampled. We apply the reconstructions to simulated large scale structure catalogues, with two different redshifts and photometric errors, sourced by different primordial power spectrum templates. We include a first application to real data with the reconstruction from the Sloan Digital Sky Survey Luminous Red Galaxy Data Release 4, in which we don't find any preference for deviations from the primordial law deviations with substantial statistical significance. The method is flexible and model-independent, and is suitable for being applied to existing and upcoming large scale structure catalogues.