Speaker
Fang-Ying Tsai
(Stony Brook University (US))
Description
Hadronic objects reconstruction, classification & calibration are key ingredients of many physics analysis in ATLAS. The collaboration is continuously improving their performance by refining various aspects of the related procedures such as statistical methods, data-driven approach or cutting-edge machine learning techniques. This contribution presents highlights of the work and its impact of the jet and missing transverse momentum reconstruction performance.
Author
Fang-Ying Tsai
(Stony Brook University (US))