Primordial Non-Gaussian Information at Non-Linear Scales

Primordial non-Gaussianity (PNG) is a powerful probe of the early Universe. The most stringent constraints on PNG to date come from  Cosmic Microwave Background (CMB) observations; however, the CMB has nearly reached its limiting power in constraining PNG.  This motivates the search for alternative observables. In this context, density field maps from next-generation galaxy surveys  offer a promising avenue, as they contain a wealth of PNG information. Extracting this information, however, is challenging, particularly at small scales,  where the PNG signal is obscured by much stronger non-Gaussian signatures arising from the nonlinear evolution of structures.  In this talk, I will discuss potential strategies to address this issue and explore various summary statistics of the density field, comparing their effectiveness  in extracting small-scale PNG information from N-body simulations.