PIRSA:20110007

Video URL

https://pirsa.org/20110007

Analytic calculation of the power spectrum covariance: speedup by four orders of magnitude

Wadekar, D. (2020). Analytic calculation of the power spectrum covariance: speedup by four orders of magnitude. Perimeter Institute for Theoretical Physics. https://pirsa.org/20110007

Wadekar, Digvijay. Analytic calculation of the power spectrum covariance: speedup by four orders of magnitude. Perimeter Institute for Theoretical Physics, Nov. 10, 2020, https://pirsa.org/20110007 

          @misc{ scivideos_PIRSA:20110007,
            doi = {10.48660/20110007},
            url = {https://pirsa.org/20110007},
            author = {Wadekar, Digvijay},
            keywords = {Cosmology},
            language = {en},
            title = {Analytic calculation of the power spectrum covariance: speedup by four orders of magnitude},
            publisher = {Perimeter Institute for Theoretical Physics},
            year = {2020},
            month = {nov},
            note = {PIRSA:20110007 see, \url{https://scivideos.org/index.php/pirsa/20110007}}
          }

Digvijay Wadekar New York University (NYU)

Talk numberPIRSA:20110007
DOI10.48660/20110007
Source RepositoryPIRSA
Collection
Talk Type Scientific Series
Subject

Abstract

In order to infer cosmological parameters from galaxy survey data, we typically use summary statistics such as the power spectrum and we need an accurate estimate of their covariance matrix. The traditional process of obtaining the covariance involves simulating thousands of mocks. I will present an analytic approach for the covariance matrix which is more than four orders of magnitude faster than mocks and show its validation with an analysis of the BOSS DR12 data. Furthermore, our analytic approach is free of sampling noise which makes it useful for upcoming surveys like DESI and Euclid. Towards the end, I will change gears and talk about some recent work on the assembly bias of neutral hydrogen.