Cosmology from Projected Clustering - Two- and Three-Point Statistics

Explore advanced cosmological analysis techniques through this lecture examining how projected clustering measurements can reveal fundamental properties of the universe using two- and three-point statistical methods. Learn about the theoretical foundations of clustering statistics in cosmology, understand how projection effects influence observational data, and discover how multi-point correlation functions provide insights into cosmic structure formation. Delve into the mathematical frameworks underlying these statistical approaches, examine practical applications in current cosmological surveys, and understand how these techniques contribute to our knowledge of dark matter, dark energy, and the large-scale structure of the universe.