Speaker
Description
In several cosmological scenarios, such as massive neutrinos or ultra-light axions, the dark matter comprises a warm component alongside the cold one. This modifies the late-time evolution of the dark sector, thus making galaxy clustering an ideal probe of these models. We study the non-linear evolution of perturbations in this context, and build an EFTofLSS-based model that allows for a full-shape fit of the galaxy power spectrum. I will present applications to real data, featuring CMB, CMB lensing and spectroscopic clustering from BOSS and DESI, showing how this can be used to consistently constrain ultra-light axions. I will also present some recent developments on higher-order correlation functions for projected clustering to constrain $\Lambda$CDM parameters.