A neural network clustering algorithm for the ATLAS silicon pixel detector

A novel technique to identify and split clusters created by multiple charged particles in the ATLAS pixel detector using a set of artificial neural networks is presented. Such merged clusters are a common feature of tracks originating from highly energetic objects, such as jets. Neural networks are...

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Detalles Bibliográficos
Autor principal: Aad, G.
Formato: JOUR
Materias:
Particle tracking detectors
Particle tracking detectors (solid-state detectors)
Neural network clustering
Particle tracking
Silicon pixel detector
Solid state detectors
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_17480221_v9_n9_p_Aad
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

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