A neural network clustering algorithm for the ATLAS silicon pixel detector

	A neural network clustering algorithm for the ATLAS silicon pixel detector
	ATLAS collaboration
刊名	JOURNAL OF INSTRUMENTATION
	2014
卷号	9
通讯作者	Aad, G (reprint author), Aix Marseille Univ, CPPM, Marseille, France.
英文摘要	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.
学科主题	Instruments & Instrumentation
类目[WOS]	Instruments & Instrumentation
收录类别	SCI
语种	英语
WOS记录号	WOS:000343281300046
公开日期	2016-02-26
内容类型	期刊论文
源URL	[http://ir.ihep.ac.cn/handle/311005/213794]
专题	高能物理研究所_实验物理中心
作者单位	中国科学院高能物理研究所
推荐引用方式 GB/T 7714	ATLAS collaboration. A neural network clustering algorithm for the ATLAS silicon pixel detector[J]. JOURNAL OF INSTRUMENTATION,2014,9.
APA	ATLAS collaboration.(2014).A neural network clustering algorithm for the ATLAS silicon pixel detector.JOURNAL OF INSTRUMENTATION,9.
MLA	ATLAS collaboration."A neural network clustering algorithm for the ATLAS silicon pixel detector".JOURNAL OF INSTRUMENTATION 9(2014).