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Constraining cosmology with density-split clustering

Speaker

Carolina Cuesta-Lazaro
MIT, Durham University (UK)

Abstract

The dependence of galaxy clustering on local density provides an effective method for extracting non-Gaussian information from galaxy surveys. The two-point correlation function (2PCF) provides a complete statistical description of a Gaussian density field. However, the late-time density field becomes non-Gaussian due to non-linear gravitational evolution and higher-order summary statistics are required to capture all of its cosmological information. In this talk, I’ll show how we can retrieve a large amount of this information by combining clustering statistics from regions of different environmental density. I’ll also discuss the ongoing work of constructing simulation-based methods to model DS clustering statistics for a DESI-like survey.

Date and Time

November 10 2022
10am KST (= 1am UTC)

Zoom link (active once the seminar starts)

Recording

Link to the recording on YouTube