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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| Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_17480221_v9_n9_p_Aad |
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todo:paper_17480221_v9_n9_p_Aad2023-10-03T16:32:16Z A neural network clustering algorithm for the ATLAS silicon pixel detector Aad, G. Particle tracking detectors Particle tracking detectors (solid-state detectors) Neural network clustering Particle tracking Silicon pixel detector Solid state detectors 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. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_17480221_v9_n9_p_Aad |
| institution |
Universidad de Buenos Aires |
| institution_str |
I-28 |
| repository_str |
R-134 |
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Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| topic |
Particle tracking detectors Particle tracking detectors (solid-state detectors) Neural network clustering Particle tracking Silicon pixel detector Solid state detectors |
| spellingShingle |
Particle tracking detectors Particle tracking detectors (solid-state detectors) Neural network clustering Particle tracking Silicon pixel detector Solid state detectors Aad, G. A neural network clustering algorithm for the ATLAS silicon pixel detector |
| topic_facet |
Particle tracking detectors Particle tracking detectors (solid-state detectors) Neural network clustering Particle tracking Silicon pixel detector Solid state detectors |
| description |
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. |
| format |
JOUR |
| author |
Aad, G. |
| author_facet |
Aad, G. |
| author_sort |
Aad, G. |
| title |
A neural network clustering algorithm for the ATLAS silicon pixel detector |
| title_short |
A neural network clustering algorithm for the ATLAS silicon pixel detector |
| title_full |
A neural network clustering algorithm for the ATLAS silicon pixel detector |
| title_fullStr |
A neural network clustering algorithm for the ATLAS silicon pixel detector |
| title_full_unstemmed |
A neural network clustering algorithm for the ATLAS silicon pixel detector |
| title_sort |
neural network clustering algorithm for the atlas silicon pixel detector |
| url |
http://hdl.handle.net/20.500.12110/paper_17480221_v9_n9_p_Aad |
| work_keys_str_mv |
AT aadg aneuralnetworkclusteringalgorithmfortheatlassiliconpixeldetector AT aadg neuralnetworkclusteringalgorithmfortheatlassiliconpixeldetector |
| _version_ |
1807322958451965952 |