9–11 May 2022
University of Pittsburgh
US/Eastern timezone

I - Machine-Learning quantum entanglement with top quark pair production at the LHC

10 May 2022, 14:15
15m
Lawrence Hall 203

Lawrence Hall 203

Speaker

Zhongtian Dong

Description

The top quark spin information is highly correlated with the final state lepton polarization, making the dileptonic $t\bar{t}$ events good candidates to study quantum entanglement at the LHC. The $t\bar{t}$ momentum reconstruction is a key ingredient to accurately assessing such measurements. I will be comparing the strengths and weaknesses of different top-quark momentum reconstruction methods, including machine learning and analytic approaches.

Authors

Zhongtian Dong Alberto Navarro Serratos Dorival Gonçalves (Oklahoma State University) K.C. Kong

Presentation materials