Invited Presentation

Unveiling the astrophysics of galaxy evolution with cross-correlation

Author(s): Ting-Wen Lan (NTU)

Presenter: Ting-Wen Lan (National Taiwan University)

Cross-correlation is a powerful statistical technique of extracting novel astrophysical signals from large datasets. Over the past two decades, astronomers have been probing various key components of galaxies and their properties, including dark matter halos, satellite galaxies, and the circumgalactic medium, via applying cross-correlation methods to multi-wavelength survey datasets. In this talk, I will review the concept of cross-correlation and its application on unveiling the astrophysics of galaxy evolution. Finally, I will discuss what we can learn about galaxy evolution in the upcoming big data era with cross-correlation.