Modified gravity getting to the one-point clustering statistics

          @misc{ scivideos_PIRSA:24070087,
            doi = {10.48660/24070087},
            url = {https://pirsa.org/24070087},
            author = {Uhlemann, Cora},
            keywords = {},
            language = {en},
            title = {Modified gravity getting to the one-point clustering statistics},
            publisher = {Perimeter Institute for Theoretical Physics},
            year = {2024},
            month = {jul},
            note = {PIRSA:24070087 see, \url{https://scivideos.org/index.php/pirsa/24070087}}
          }
          

Abstract

Gravitational collapse shaped the cosmic large-scale structure and created a plethora of different density environments. For optimally probing gravity with galaxy surveys like Euclid and Rubin LSST, we need to dissect different density environments that are lumped together in traditional two-point statistics. I will explain how the one-point probability distribution of dark matter densities can be predicted analytically including signatures of modified gravity that match with cosmological simulations for nDGP and f(R) gravity. I will provide an outlook on how those predictions can be translated to galaxy clustering and weak lensing and observables.