PIRSA: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. https://pirsa.org/20110062

MLA

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

BibTex

          @misc{ 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},
            year = {2020},
            month = {nov},
            note = {PIRSA:20110062 see, \url{https://pirsa.org}}
          }
          

Mikhail Ivanov New York University (NYU)

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.