A neural network clustering algorithm for the ATLAS silicon pixel detector

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F14%3A10286977" target="_blank" >RIV/00216208:11320/14:10286977 - isvavai.cz</a>
Alternative codes found
RIV/68378271:_____/14:00435222 RIV/68407700:21220/14:00226987 RIV/68407700:21340/14:00226987 RIV/68407700:21670/14:00226987 RIV/61989592:15310/14:33152022
Result on the web
<a href="http://dx.doi.org/10.1088/1748-0221/9/09/P09009" target="_blank" >http://dx.doi.org/10.1088/1748-0221/9/09/P09009</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1088/1748-0221/9/09/P09009" target="_blank" >10.1088/1748-0221/9/09/P09009</a>

Result language
angličtina
Original language name
A neural network clustering algorithm for the ATLAS silicon pixel detector
Original language 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.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BF - Elementary particle theory and high energy physics
OECD FORD branch
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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