A neural network clustering algorithm for the ATLAS silicon pixel detector

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
Autores principales: Aad, G, Abbott, B, Abdallah, J, Khalek, SA, Abdinov, O, Aben, R, Abi, B, Abolins, M, AbouZeid, O, Abramowicz, H, Abreu, H, Abreu, R, Abulaitia, Y, Acharya, B, Adamczyka, L, Adams, D, Adelman, J, Adomeit, S, Adye, T, Agatonovic-Jovin, T, Aguilar-Saavedra, J, Agustoni, M, Ahlen, S, Ahmadov, F, Aielli, G
Formato: Journal article
Lenguaje:English
Publicado: Institute of Physics Publishing 2014

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