PIRSA:22070026

Higher-order Correlation Function of Large-Scale Structures and Parity-Violation Search

APA

Hou, J. (2022). Higher-order Correlation Function of Large-Scale Structures and Parity-Violation Search . Perimeter Institute. https://pirsa.org/22070026

MLA

Hou, Jiamin. Higher-order Correlation Function of Large-Scale Structures and Parity-Violation Search . Perimeter Institute, Jul. 18, 2022, https://pirsa.org/22070026

BibTex

          @misc{ pirsa_22070026,
            doi = {},
            url = {https://pirsa.org/22070026},
            author = {Hou, Jiamin},
            keywords = {Cosmology},
            language = {en},
            title = {Higher-order Correlation Function of Large-Scale Structures and Parity-Violation Search },
            publisher = {Perimeter Institute},
            year = {2022},
            month = {jul},
            note = {PIRSA:22070026 see, \url{https://pirsa.org}}
          }
          

Jiamin Hou University of Florida

Abstract

In the standard cosmological paradigm, the initial condition follows Gaussian statistics. At later times, gravitational evolution induces nonlinearities in the large-scale structure, information that was fully captured by the two-point statistics at the early times gets spread into higher-order statistics. Whilst current standard cosmological analyses have focused on two-point statistics, higher-order statistics help further to tighten constraints by breaking parameter degeneracies as well as to probe the primordial Universe. In this talk, I will present our recent progress on the N-point Correlation Function (NPCF), including an analytical Gaussian covariance formalism, a first detection of the 4-point correlation function from nonlinear structure formation. Finally, I will focus on our recent analysis of parity-odd mode using the data from Baryon Oscillation Spectroscopic Survey (BOSS) and discuss the implication of parity-search at cosmological scales with large scale structure.

Zoom Link: https://pitp.zoom.us/j/92321535422?pwd=VlF4cHpvUit4bmR0eXYyczI5Qmw4dz09