Special EPE Seminar: Yuan-Tang Chou

Monday 17 Apr 2023, 09:00 → 10:00 America/Los_Angeles

PAT C421

Shih-Chieh Hsu (University of Washington Seattle (US))

Title

Searches for exotic Higgs boson decays with modern machine-learning methods at the LHC

Speaker 

Yuan-Tang Chou, University of Massachusetts Amherst

 

Abstract

 

The discovery of the Higgs boson has opened up new possibilities for investigating physics beyond the standard model (SM). New physics may interact with the SM through the Higgs boson, and deviations from SM predictions can indicate the presence of new physics. We focus on the exotic Higgs decay, $H \rightarrow aa \rightarrow b\bar{b}b\bar{b}$, where the Higgs boson is produced in association with a Z boson.  
In this talk, I will demonstrate the development and calibration of DeXTer, the first general-purpose low-mass $X \rightarrow bb$ tagger in ATLAS. I will also discuss how we can improve event reconstructions with novel machine-learning techniques. Our analysis is expected to set the most stringent limits on several BSM models with a new light scalar in exotic Higgs boson decays. 

 

Biography

Yuan-tang Chou is a Ph.D. candidate at the University of Massachusetts Amherst working on the ATLAS experiment. His current research focuses on searching beyond Standard Model physics in the hadronic final states. He is actively involved in devising innovative flavor tagging algorithms and utilizing machine learning to enhance analysis sensitivity. Furthermore, he is also contributing to the ATLAS Level-0 MDT trigger processor (L0MDT) upgrade for HL-LHC. 
 

09:00 → 09:40 Searches for exotic Higgs boson decays with modern machine-learning methods at the LHC

Speaker: Yuan-Tang Chou (University of Massachusetts (US))

GMT20230417-160405_Recording_2304x1296.mp4

UW_ATLAS_Seminar.pdf