PIRSA:21020022

Video URL

https://pirsa.org/21020022

Tackling the challenges of galaxy-dark matter connection modeling and new insights into secondary (assembly) biases

Yuan, S. (2021). Tackling the challenges of galaxy-dark matter connection modeling and new insights into secondary (assembly) biases. Perimeter Institute for Theoretical Physics. https://pirsa.org/21020022

Yuan, Sihan. Tackling the challenges of galaxy-dark matter connection modeling and new insights into secondary (assembly) biases. Perimeter Institute for Theoretical Physics, Feb. 09, 2021, https://pirsa.org/21020022 

          @misc{ scivideos_PIRSA:21020022,
            doi = {10.48660/21020022},
            url = {https://pirsa.org/21020022},
            author = {Yuan, Sihan},
            keywords = {Cosmology},
            language = {en},
            title = {Tackling the challenges of galaxy-dark matter connection modeling and new insights into secondary (assembly) biases},
            publisher = {Perimeter Institute for Theoretical Physics},
            year = {2021},
            month = {feb},
            note = {PIRSA:21020022 see, \url{https://scivideos.org/index.php/pirsa/21020022}}
          }

Sihan Yuan Harvard University

Talk numberPIRSA:21020022
DOI10.48660/21020022
Source RepositoryPIRSA
Collection
Talk Type Scientific Series
Subject

Abstract

Modeling galaxy-dark matter connection is essential in deriving unbiased cosmological constraints from galaxy clustering observations. We show that a more physically motivated galaxy-dark matter incorporating secondary (assembly) biases results in more accurate predictions of galaxy clustering, yields novel insights into effects such as baryonic feedback, and significantly reduces the tension in galaxy lensing. We further present progress and opportunities in building a multi-tracer galaxy-dark matter connection framework that is rich in features and highly efficient, enabling more robust cosmological analyses with upcoming DESI data.