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Explore cross-correlation science methodologies and applications using data from the Dark Energy Survey (DES) and the upcoming Legacy Survey of Space and Time (LSST) in this 44-minute conference talk. Learn about innovative approaches to combining multiple astronomical probes to advance cosmological understanding, focusing on how cross-correlation techniques can extract maximum scientific value from large-scale survey data. Discover the synergies between different observational datasets and understand how these methods contribute to our knowledge of dark energy, dark matter, and the large-scale structure of the universe. Gain insights into the technical challenges and opportunities presented by current and next-generation astronomical surveys, and understand how cross-correlation analysis serves as a powerful tool for precision cosmology in the era of big astronomical data.
Syllabus
Cross-Correlation Science with DES and LSST | Chihway Chang (U. Chicago)
Taught by
Kavli Institute for Theoretical Physics