Advances in developing deep neural networks for finding primary vertices in proton-proton collisions at the LHC

We are studying the use of deep neural networks (DNNs) to identify and locate primary vertices (PVs) in proton-proton collisions at the LHC. Earlier work focused on finding primary vertices in simulated LHCb data using a hybrid approach that started with kernel density estimators (KDEs) derived heur...

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Hauptverfasser:	Akar, Simon, Elashri, Mohamed, Garg, Rocky Bala, Kauffman, Elliott, Peters, Michael, Schreiner, Henry, Sokoloff, Michael, Tepe, William, Tompkins, Lauren
Format:	Artikel
Sprache:	eng
Schlagworte:	Physics - High Energy Physics - Experiment
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