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Learn fundamental principles of data selection and analysis techniques used in Large Scale Structure (LSS) surveys through this comprehensive lecture delivered at the Galileo Galilei Institute. Explore the critical methodologies astronomers and cosmologists employ to identify, filter, and process observational data from large-scale cosmic structure studies. Discover how to handle the complexities of survey data, including systematic effects, selection functions, and statistical analysis frameworks essential for extracting meaningful cosmological information. Examine practical approaches to data quality assessment, contamination removal, and the implementation of robust statistical methods for analyzing galaxy distributions and clustering patterns across vast cosmic scales. Gain insights into the theoretical foundations underlying data selection criteria and their impact on subsequent cosmological parameter estimation and structure formation studies.
