Projected Clustering - The Information in N-Point Statistics
Erwin Schrödinger International Institute for Mathematics and Physics (ESI) via YouTube
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Learn about advanced statistical methods for analyzing large-scale structure in cosmology through this 19-minute conference lecture from the Erwin Schrödinger International Institute for Mathematics and Physics. Explore the practical advantages of deriving constraints from N-point correlation hierarchies over field-level approaches when analyzing real astronomical data. Discover how N-point correlators (where N>3) for projected large-scale structure tracers have been underutilized compared to spectroscopic surveys and cosmic microwave background experiments. Examine a simple, fast, and accurate estimator for the projected bispectrum and see its application to existing projected clustering and CMB lensing data. Understand how these methods can quantify potential gains for cosmological analyses using near-future datasets, providing insights into the information content of higher-order statistics in cosmic structure formation.
Syllabus
David Alonso - Projected clustering: the information in N-point statistics
Taught by
Erwin Schrödinger International Institute for Mathematics and Physics (ESI)