Talk Title and Abstract:
Cosmology and fundamental physics with one-point statistics
One-point statistics such as counts-in-cells capture essential non-Gaussian properties of the cosmic web, including peculiar regions of high and low density. I will show that those statistics not only provide information complementary to common two-point statistics, but also allow for accurate theoretical predictions. I will explain how matter counts-in-cells statistics and their dependence on cosmological parameters can be predicted from first principles. With a Fisher forecast for constraints on LCDM parameters and the total neutrino mass, I demonstrate the constraining power of the matter PDF and its complementarity to the matter power spectrum at mildly nonlinear scales. Finally, I will discuss how predictions for the matter PDF can be adapted to predict projected densities and weak lensing statistics. I will show promising results comparing the lensing convergence PDF and two-point correlation function.
Would you like to join this Zoom seminar? Please email Donna Hayes.