Title: Probing Cosmological Particle Production and Pairwise Hotspots with Deep Neural Networks

Speaker: Yuhsin Tsai (蔡宇信), Notre Dame U.

Time: 10:00am, Mar 30 (Thursday) 2023

腾讯会议: 498-480-151

Abstract: Cosmic inflation provides an environment similar to particle colliders that can produce new particles and record the resulting signal. In this talk, I will describe a scenario in which new particles much heavier than the Hubble scale during cosmic inflation are produced via couplings to the inflaton. These heavy particles propagate classically and give rise to localized spots on the cosmic microwave background following their production. Momentum conservation during particle production dictates that these localized spots come in pairs. I will discuss the properties of such pairs of CMB spots and how the Convolutional Neural Network (CNN) techniques can be used to identify the signals from the CMB temperature fluctuations.

Bio: Yuhsin Tsai got his PhD at Cornell and did his postdoc at UC Davis and U. Maryland before coming to Notre Dame. His current research interest is in the intersection between particle physics and cosmology.