Recent Developments in Clustering Analysis of Large-Scale Structure

24.02.2023 11:50 – 12:50

Large-scale structure provides insights into the expansion history of the Universe and the growth rate of structure. While the 2-point statistics can capture all information in a Gaussian random field, higher-order statistics encode crucial information about gravitationally-induced nonlinearity and deviation from Gaussian initial conditions. Higher-order N-point correlation function or polyspectra as its Fourier counterpart thus allow us to obtain more precise knowledge about the energy density content of the Universe and provides unique windows into the primordial Universe. Recently, we showed that higher-order statistics could be used to test parity violation at cosmological scales. In this talk, I will present our analysis and the implication of the measurement. Finally, I will also present our recent analysis of the galaxy skew spectra as a compressed bispectrum estimator and a forecast of its cosmological information.

Lieu

Bâtiment: Ecole de Physique

Room 234

entrée libre