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Abstract:

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 trained using Monte Carlo samples produced with a detailed detector simulation. This technique replaces the former clustering approach based on a connected component analysis and charge interpolation. The performance of the neural network splitting technique is quantified using data from proton-proton collisions at the LHC collected by the ATLAS detector in 2011 and from Monte Carlo simulations. This technique reduces the number of clusters shared between tracks in highly energetic jets by up to a factor of three. It also provides more precise position and error estimates of the clusters in both the transverse and longitudinal impact parameter resolution. © CERN 2014.

Registro:

Documento: Artículo
Título:A neural network clustering algorithm for the ATLAS silicon pixel detector
Autor:Aad, G. et al.
Este artículo contiene 2883 autores, consultelos en el artículo en formato pdf.
Filiación: Este artículo contiene 2883 autores con sus filiaciones, consultelas en el artículo en formato pdf.
Palabras clave:Particle tracking detectors; Particle tracking detectors (solid-state detectors); Neural network clustering; Particle tracking; Silicon pixel detector; Solid state detectors
Año:2014
Volumen:9
Número:9
DOI: http://dx.doi.org/10.1088/1748-0221/9/09/P09009
Título revista:Journal of Instrumentation
Título revista abreviado:J. Instrum.
ISSN:17480221
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_17480221_v9_n9_p_Aad

Referencias:

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Citas:

---------- APA ----------
(2014) . A neural network clustering algorithm for the ATLAS silicon pixel detector. Journal of Instrumentation, 9(9).
http://dx.doi.org/10.1088/1748-0221/9/09/P09009
---------- CHICAGO ----------
Aad, G. "A neural network clustering algorithm for the ATLAS silicon pixel detector" . Journal of Instrumentation 9, no. 9 (2014).
http://dx.doi.org/10.1088/1748-0221/9/09/P09009
---------- MLA ----------
Aad, G. "A neural network clustering algorithm for the ATLAS silicon pixel detector" . Journal of Instrumentation, vol. 9, no. 9, 2014.
http://dx.doi.org/10.1088/1748-0221/9/09/P09009
---------- VANCOUVER ----------
Aad, G. A neural network clustering algorithm for the ATLAS silicon pixel detector. J. Instrum. 2014;9(9).
http://dx.doi.org/10.1088/1748-0221/9/09/P09009