Cosmology with Large-Scale Structure - Lecture 1

Explore the foundations of large-scale structure (LSS) cosmology in this lecture by John Peacock from the International Centre for Theoretical Sciences. Delve into the statistical approach of Poisson clustering hypothesis, understand the concept of bias in relating mass and light, and examine models for bias including high-peak bias. Learn how to test biased CDM linear power spectrum and analyze projected clustering. Discover the significance of APM angular correlations and their role in weighing the universe. Gain insights into the argument for dark energy using 1990 LSS and CMB data, setting the stage for understanding modern cosmological puzzles like dark matter and dark energy.

Large-scale structure as a cosmological probe
What we learn from LSS
Lecture plan
Statistical approach: Poisson clustering hypothesis
Bias: relating mass and light
Models for bias
High-peak bias
Testing the biased CDM linear P(k)
Projected clustering
1990: APM angular correlations, w(e)
Weighing the universe with horizons
The argument for A: 1990 LSS + CMB