PIRSA:09020037

Video URL

https://pirsa.org/09020037

The large-scale structure of the Universe as a probe of fundamental physics

McDonald, P. (2009). The large-scale structure of the Universe as a probe of fundamental physics. Perimeter Institute for Theoretical Physics. https://pirsa.org/09020037

McDonald, Patrick. The large-scale structure of the Universe as a probe of fundamental physics. Perimeter Institute for Theoretical Physics, Feb. 11, 2009, https://pirsa.org/09020037 

          @misc{ scivideos_PIRSA:09020037,
            doi = {10.48660/09020037},
            url = {https://pirsa.org/09020037},
            author = {McDonald, Patrick},
            keywords = {Cosmology},
            language = {en},
            title = {The large-scale structure of the Universe as a probe of fundamental physics},
            publisher = {Perimeter Institute for Theoretical Physics},
            year = {2009},
            month = {feb},
            note = {PIRSA:09020037 see, \url{https://scivideos.org/pirsa/09020037}}
          }

Patrick McDonald Canadian Institute for Theoretical Astrophysics (CITA)

Talk numberPIRSA:09020037
DOI10.48660/09020037
Source RepositoryPIRSA
Collection
Talk Type Scientific Series
Subject

Abstract

We have only scratched the surface of the potential for using large-scale structure (LSS) as a probe of fundamental physics/cosmology, i.e., quantitatively, we have only measured a small fraction of a percent of the accessible LSS information. Future measurements will probe dark energy, inflation, dark matter properties, neutrino masses, modifications of gravity, etc. with unprecedented precision. I will discuss three probes of LSS: the traditional galaxy redshift survey, the Lyman-alpha forest (LyaF), and the new idea of 21 cm intensity mapping; and two future experiments that cover these probes: SDSS-III/BOSS (galaxies and LyaF) and the proposed CHIME (21 cm). I will discuss recent theoretical/phenomenological developments that promise to greatly enhance the power of LSS surveys, related to the connection between bias, redshift-space distortions, and non-Gaussianity.