We present a non-parametric methodology to reconstruct the primordial power spectrum $P_{\mathcal{R}}(k)$ from Large Scale Structure (LSS) data using Bayesian inference and nested sampling. We apply the method to two different classes of objects, one at low-$z$ (ELGs) and one at high-$z$ (QSOs), and two different photometric errors. The clustering of these objects is derived from different...
Euclid will map the Universe with 3D positions of 30 million H-alpha Emission Line Galaxies to make unprecedented constrains in cosmology. The exquisite dataset will reduce extremely the statistical uncertainties, requiring a deeper look at different sources of systematic errors. One of them will come from the uncertainty of how ELGs relate to halos and its possible effect on galaxy...
The Dark Energy Survey (DES) Y3 and Y6 analyses show that, given the current statistical power, it is crucial to know in depth the different sources of systematic errors and to correct for them appropriately. Galaxy clustering measurements are not an exception to this issue, where observational systematics are of particular relevance. In this regard, even if Euclid is not affected by the exact...
I will briefly describe the Standard Project I am leading within Euclid on the exploitation of angular redshift fluctuations (ARF) with Euclid probes, namely with the weak lensing survey, and the photometric and spectroscopic galaxy surveys. I will first show how the addition of ARF computed in thin and wide redshift shells probed by Euclid will very significantly improve the measurements of...
