Giles Strong

发表

Machine Learning in High Energy Physics Community White Paper pdf

Eli Upfal, Gilles Louppe, Stefan Wunsch, 2018, Journal of Physics: Conference Series.

Identification of heavy, energetic, hadronically decaying particles using machine-learning techniques

Yi Wang, Andrea Benaglia, Yi Zhang, 2020, Journal of Instrumentation.

Performance of the CMS Level-1 trigger in proton-proton collisions at √s = 13 TeV

Yi Wang, Andrea Benaglia, Ian Watson, 2020 .

Search for a massive resonance decaying to a pair of Higgs bosons in the four b quark ﬁnal state in proton–proton collisions at √ s = 13 TeV

Andrea Benaglia, Francesco Fienga, Stavros Mallios, 2018 .

Search for new physics in final states with an energetic jet or a hadronically decaying W or Z boson and transverse momentum imbalance at √s=13 TeV

Yi Wang, Andrea Benaglia, Francesco Fienga, 2018 .

CMS - The Compact Muon Solenoid

T. Aushev, Carlos Dias Maciel, Andrea Benaglia, 1996 .

Performance of the CMS muon detector and muon reconstruction with proton-proton collisions at √s=13 TeV

Yi Wang, Andrea Benaglia, Francesco Fienga, 2018, Journal of Instrumentation.

Search for high mass dijet resonances with a new background prediction method in proton-proton collisions at $\sqrt{s}=$ 13 TeV

Yi Wang, Andrea Benaglia, Ian Watson, 2020 .

Search for Higgs boson pair production in the γγbb

T. Aushev, Andrea Benaglia, Y. Wang, 2018 .

Performance of reconstruction and identification of τ leptons decaying to hadrons and vτ in pp collisions at √s=13 TeV

Yi Wang, Andrea Benaglia, Francesco Fienga, 2018, Journal of Instrumentation.

A deep neural network to search for new long-lived particles decaying to jets

Yi Wang, Andrea Benaglia, Ian Watson, 2019 .

Measurement of the Lambda(b) polarization and angular parameters in Lambda(b) -> J/psi Lambda decays from pp collisions at root s=7 and 8 TeV

T. Aushev, Andrea Benaglia, Y. Wang, 2018 .