Particle identification using clustering algorithms

详细信息    查看全文

• 作者：R. Wirth^a ; ^b ; ^{R.Wirth@gsi.de} ; ^{wirth@theorie.ikp.physik.tu-darmstadt.de} ; E. Fiori^a ; ^b ; B. Lö ; her^a ; ^b ; D. Savran^a ; ^b ; J. Silva^a ; ^b ; H. Á ; lvarez Pol^c ; D. Cortina Gil^c ; B. Pietras^c ; T. Bloch^d ; T. Krö ; ll^d ; E. Ná ; cher^e ; Á ; . Perea^e ; O. Tengblad^e ; M. Bendel^f ; M. Dierigl^f ; R. Gernh&auml ; user^f ; T. Le Bleis^f ; M. Winkel^f
• 关键词：Cesium iodide ; Digital pulse shape analysis ; Clustering ; Particle identification ; Scintillator ; Avalanche photo diode
• 刊名：Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
• 出版年：2013
• 出版时间：21 July, 2013
• 年：2013
• 卷：717
• 期：Complete
• 页码：77-82
• 全文大小：524 K

文摘

A method that uses fuzzy clustering algorithms to achieve particle identification based on pulse shape analysis is presented. The fuzzy c-means clustering algorithm is used to compute mean (principal) pulse shapes induced by different particle species in an automatic and unsupervised fashion from a mixed set of data. A discrimination amplitude is proposed using these principal pulse shapes to identify the originating particle species of a detector pulse. Since this method does not make any assumptions about the specific features of the pulse shapes, it is very generic and suitable for multiple types of detectors. The method is applied to discriminate between photon- and proton-induced signals in CsI(Tl) scintillator detectors and the results are compared to the well-known integration method.