Speaker
Manqi RUAN
(Institute of High Energy Physics, Beijing, China)
Description
Identification plays a central role in experimental particle physics, either identifying different physics objects or distinguishing signal events from backgrounds.
Benefit from the rapid development of AI tools, we propose a holistic approach for the identification task.
This approach takes all the reconstructable information as input and infers the relevant categories using sufficiently trained AI tools.
At CEPC, a proposed Higgs factory, this approach leads to unprecedented performance in jet identification and could boost the anticipated precisions of critical Higgs measurements by roughly three times.
The relevant limitations and requirements of this methodology will also be discussed
Primary author
Manqi RUAN
(Institute of High Energy Physics, Beijing, China)
