H. Y. Zhang

Jet fragmentation function and groomed substructure of bottom quark jets in proton-proton collisions at 5.02 TeV

CMS Collaboration, V. Chekhovsky, A. Hayrapetyan, V. Makarenko et autres

A measurement of the substructure of bottom quark jets (b jets) in proton-proton (pp) collisions is presented. The measurement uses data collected in pp collisions at $\sqrt{s}$ = 5.02 TeV, with a low number of simultaneous interactions per bunch crossing, recorded by …

Probing the flavour structure of dimension-6 EFT operators in multilepton final states in proton-proton collisions at $\sqrt{s}=13$ TeV

CMS Collaboration, A. Hayrapetyan, V. Makarenko, A. Tumasyan et autres

An analysis of the flavour structure of dimension-6 effective field theory (EFT) operators in multilepton final states is presented, focusing on the interactions of quarks with Z bosons. For the first time, the flavour structure of these operators is disentangled by simultaneously …

Probing the flavour structure of dimension-6 EFT operators in multilepton final states in proton-proton collisions at $\sqrt{s}=13$ TeV

CMS Collaboration, A. Hayrapetyan, V. Makarenko, A. Tumasyan et autres

An analysis of the flavour structure of dimension-6 effective field theory (EFT) operators in multilepton final states is presented, focusing on the interactions of quarks with Z bosons. For the first time, the flavour structure of these operators is disentangled by simultaneously …

Identification of tau leptons using a convolutional neural network with domain adaptation

CMS Collaboration, A. Hayrapetyan, V. Makarenko, A. Tumasyan et autres

Search for heavy pseudoscalar and scalar bosons decaying to a top quark pair in proton-proton collisions at √s = 13 TeV

The CMS collaboration, V. Makarenko, A. Tumasyan, W. Adam et autres

A search for pseudoscalar or scalar bosons decaying to a top quark pair ($t\overline{t}$) in final states with one or two charged leptons is presented. The analyzed proton–proton collision data was recorded at $\sqrt{s}$ = 13 TeV by the CMS experiment at …

Identification of tau leptons using a convolutional neural network with domain adaptation

CMS Collaboration, A. Hayrapetyan, V. Makarenko, A. Tumasyan et autres

A tau lepton identification algorithm, DeepTau, based on convolutional neural network techniques, has been developed in the CMS experiment to discriminate reconstructed hadronic decays of tau leptons ( τ$_h$) from quark or gluon jets and electrons and muons that are misreconstructed as …

Dynamic Beamforming and Power Allocation in ISAC via Deep Reinforcement Learning

Dao D.N., A.B.J. Kokkeler, H. Y. Zhang, Miao Y

Integrated Sensing and Communication (ISAC) is a key enabler in 6G networks, where sensing and communication capabilities are designed to complement and enhance each other. One of the main challenges in ISAC lies in resource allocation, which becomes computationally demanding in dynamic …