PKU Indico cross-reference:
https://indico.ihep.ac.cn/event/17905/
Join Zoom Meeting:
https://cern.zoom.us/j/65492580479?pwd=eEM3bGpiWThqcGVETXFvZGFKMkxGQT09
Zoom Meeting ID: 654 9258 0479
Passcode: 839455
Abstract:
Final states that include hadronically decaying tau leptons are important in many analyses of the ATLAS experiment, such as measurements of Standard Model processes, Higgs boson searches, and searches for new physics phenomena. These analyses depend on robust tau reconstruction and excellent particle identification algorithms that provide suppression of backgrounds from jets, electrons and muons. In this talk, I will review the ATLAS single tau reconstruction algorithm, and introduce a novel boosted low pT boosted di-tau tagger. Besides, I will talk about the possibility of “Online Machine Learning”, implementing the machine learning model to the hardware trigger to improve the tau trigger performance.
Resume:
Dr. Boping Chen is a postdoctoral fellow working on the ATLAS experiment at TelAviv University. He obtained his Ph.D. degree in December 2020 from Iowa StateUniversity. His thesis topic was searching for a heavy resonance decaying into astandard model Higgs boson and a photon. Since January 2020, he has joinedthe ATLAS tracking group and worked on the task of optimizing and re-trainingthe pixel Neural Network to improve pixel cluster splitting. At Tel Aviv University,he is contributing to the ATLAS phase II tau trigger upgrade study, the validation for a novel low pT boosted di-tau tagger, and an analysis searching for Higgs boson decays into two a-bosons with subsequent decays to photons and hadronic taus.
