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Data Selection and Analysis in Large-Scale Structure - Lecture III

Galileo Galilei Institute (GGI) via YouTube

Overview

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Learn advanced techniques for data selection and analysis in Large Scale Structure (LSS) surveys through this third lecture in a comprehensive series. Explore sophisticated methodologies for handling observational data from cosmological surveys, including strategies for optimal data selection, systematic error mitigation, and statistical analysis frameworks specific to LSS studies. Examine practical approaches to dealing with survey geometries, selection functions, and observational biases that affect large-scale structure measurements. Discover how to implement robust analysis pipelines for extracting cosmological information from galaxy surveys, weak lensing data, and other LSS observables while accounting for various sources of uncertainty and contamination.

Syllabus

Eisabeth Krause: "Data selection and analysis in LSS - Lecture III"

Taught by

Galileo Galilei Institute (GGI)

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