Seminar: |
CPS Seminar |
date: |
2025 January 17 (Fri) 14:00- |
Room: |
CPS Conference Room and Online (Hybrid meeting) |
Speaker: |
Kana Moriwaki (Assistant professor, RESCEU, the University of Tokyo) |
Title: |
"Analysis of large-scale structure data with deep learning" |
Abstract: |
The large-scale matter distributions tell us the evolution of the Universe as well as its components and initial state. Deep learning can be useful in analyzing observational data of large-scale structures. We have been developing new deep-learning methods for (i) removing noises in observed data and (ii) inferring the governing parameters from observed data. In this talk, I will introduce these methods and also discuss how to tackle the problem of large data requirements in deep learning. |
Keywords: |
deep learning, large-scale structure of the universe |
Organizer: |
MAKINO Junichiro |