PIRSA:22100091

Strong Gravitational Lensing in the Era of Data-Driven Algorithms

APA

Hezaveh, Y. (2022). Strong Gravitational Lensing in the Era of Data-Driven Algorithms. Perimeter Institute. https://pirsa.org/22100091

MLA

Hezaveh, Yashar. Strong Gravitational Lensing in the Era of Data-Driven Algorithms. Perimeter Institute, Oct. 04, 2022, https://pirsa.org/22100091

BibTex

          @misc{ pirsa_22100091,
            doi = {10.48660/22100091},
            url = {https://pirsa.org/22100091},
            author = {Hezaveh, Yashar},
            keywords = {Cosmology},
            language = {en},
            title = {Strong Gravitational Lensing in the Era of Data-Driven Algorithms},
            publisher = {Perimeter Institute},
            year = {2022},
            month = {oct},
            note = {PIRSA:22100091 see, \url{https://pirsa.org}}
          }
          

Yashar Hezaveh Université de Montréal

Abstract

In this talk I will share our recent work in developing statistical models based on machine learning methods. In particular, I will discuss posterior sampling in low- and high-dimensional spaces and connect this to two ongoing projects: measuring the small-scale distribution of dark matter and estimating the expansion rate of the Universe. I will discuss how the speed and the accuracy gained by these models are essential for the large volumes of data from the next generation sky surveys. I will finish by mentioning a few other projects and a new initiative for interdisciplinary collaboration in astrophysics and data sciences. 

Zoom link:  https://pitp.zoom.us/j/98316228305?pwd=UWwrZkIwUG1QZFBkYzc1eVdNSW1Ldz09