## Video URL

https://pirsa.org/20110062# Challenges for large-scale structure theory and data analysis

### APA

Ivanov, M. (2020). Challenges for large-scale structure theory and data analysis. Perimeter Institute for Theoretical Physics. https://pirsa.org/20110062

### MLA

Ivanov, Mikhail. Challenges for large-scale structure theory and data analysis. Perimeter Institute for Theoretical Physics, Nov. 24, 2020, https://pirsa.org/20110062

### BibTex

@misc{ scivideos_PIRSA:20110062, doi = {10.48660/20110062}, url = {https://pirsa.org/20110062}, author = {Ivanov, Mikhail}, keywords = {Cosmology}, language = {en}, title = {Challenges for large-scale structure theory and data analysis}, publisher = {Perimeter Institute for Theoretical Physics}, year = {2020}, month = {nov}, note = {PIRSA:20110062 see, \url{https://scivideos.org/pirsa/20110062}} }

Mikhail Ivanov Massachusetts Institute of Technology (MIT)

**Source Repository**PIRSA

**Collection**

**Talk Type**Scientific Series

**Subject**

## Abstract

In the first part of the talk I will review some recent progress in large-scale structure theory and show how it can be used to measure cosmological parameters from current and future redshift surveys. Then I will discuss some ongoing challenges in the modeling of galaxy clsutering data and covariance matrices. Finally, I will present a systematic calculation of the probability distribution function for the dark matter density field and discuss its potential as a cosmological probe.