New Strategies for Extracting Cosmology from Galaxy Surveys – Third edition

LOCATION: Sexten Primary School - Via Panorama 6, Sexten

DETAILS

The next generation of large-scale structure surveys such as Euclid, DESI, LSST, SPHEREx, and SKA are providing an unprecedented amount of observational data. These surveys map large portions of the sky, observing hundreds of millions of bright galaxies up to high redshifts, effectively transforming cosmology into a data-driven, precision science. With the first public data releases from DESI and Euclid planned for early 2025 and 2026, respectively, it is more and more important for the community to develop the right techniques to efficiently extract information from this data. The large number of ongoing efforts reach from new summary statistics for efficient data compression to full forward models for field level analysis and use an expanded range of statistical techniques.

This third workshop in a very successful series will focus particularly on the validation of analyses with respect to theoretical as well as observational systematics. It will join scientific expertise from all aspects of analysis and validation pipelines, such as theoretical modeling, novel statistical methods, observational effects and  mock generation. The goal is to share expertise between groups, to identify common obstacles and solutions for establishing an end-to-end pipeline, and to discuss common verification standards such analyses should pass for a robust inference.

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