Discovering the Dark Universe with Artificial Intelligence

Prof. Shih-Chieh Hsu from Associate Professor of Physics at University of Washington

@ Chin-Pao Yang Lecture Hall(Room 104), CCMS-New Phys. building

 

 

Abstract

Compelling experimental evidence strongly supports searches for new particles predicted by theories

Beyond the Standard Model (BSM). Such searches are connected to fundamental questions among the

highest priorities of particle physics like dark matter baryogenesis and hierarchy problems. At the Large

Hadron Collider (LHC) the ATLAS experiment is ideally suited for detecting heavy states like heavy Higgs

and dark scalars that decay to particles with high transverse momentum (pT) to the beam. In this talk I will

present the state-of-the-art heavy Higgs and dark scalar searches in ATLAS. Specifically I will highlight how

Artificial Intelligence plays a role to advance and expand the LHC physics program. This includes the

improvement of on-going analyses through novel algorithm developments and new opportunities for

discovery with accelerated Machine Learning which can address big data challenges from the upcoming

High-Luminosity LHC.

The Joint Colloquium Series is organized by the NTU Physics Department, Center for Condensed Matter Science (CCMS), Leung Center for Cosmology and Particle Astrophysics (LeCosPA), Academia Sinica Institute of Astronomy and Astrophysics (ASIAA), the Institute of Atomic and Molecular Sciences (IAMS), and the NTNU Physics Department. The idea is to have excellent speakers to give inspiring, informative, but non-technical talks on the frontiers of Sciences. The latest inforamtion is updated in the website.  

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