Invited Seminar: Higgs and Searches results summary and developments in analysis techniques with machine learning
|開始||2020/09/11 (金) 16:00|
|終了||2020/09/11 (金) 17:30|
|講演タイトル||Invited Seminar: Higgs and Searches results summary and developments in analysis techniques with machine learning|
|講演者||Hideyuki Oide (Tokyo Institute of Technology)|
|連絡先||Katsuro Nakamura (2489)|
ATLAS has been pushing vast ranges of energy frontier measurements and searches with an unprecedented amount dataset of ~140 fb-1 in the LHC Run2 with √s = 13 TeV proton—proton collisions. Based on robust establishment of the combined performances, advanced object reconstruction and multivariate analyses with machine learning are widely applied in many of recent results as a new standard quality. On top of the “mainstream” measurements and searches, greedy endeavors have also been made for observing rarer processes or for establishing searches with challenging signatures. In this talk, I would like to highlight recent ATLAS results along with the above context.