Methods for multidimensional event classification: A case study using images from a Cherenkov gamma-ray telescope

Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

Volumn 516, Issue 2-3, 2004, Pages 511-528

  Bock, R K ^a   Chilingarian, A ^b   Gaug, M ^c   Hakl, F ^d   Hengstebeck, T ^e   Jirina M ^d   Klaschka, J ^d   Kotrc E ^d   Savicky P ^d   Towers, S ^f   Vaiciulis, A ^g   Wittek, W ^a  

^a MAX PLANCK INSTITUT FÜR PHYSIK   (Germany)

^b Physics Institute   (Armenia)

^c BARCELONA INSTITUTE OF SCIENCE AND TECHNOLOGY   (Spain)

^d INSTITUTE OF COMPUTER SCIENCE   (Czech Republic)

^e UNIVERSITY OF SIEGEN   (Germany)

^f STONY BROOK UNIVERSITY   (United States)

^g UNIVERSITY OF ROCHESTER   (United States)

Author keywords

Classification; Discrimination; Kernel methods; Multivariate; Nearest neighbour; Neural networks; Regression trees

Indexed keywords

GAMMA RADIOGRAPHY; GAMMA RAYS; IMAGE QUALITY; MONTE CARLO METHODS; NEURAL NETWORKS; REGRESSION ANALYSIS; TELESCOPES; ULTRAVIOLET RADIATION;

KERNEL METHODS; REGRESSION TREES;

CERENKOV COUNTERS;

EID: 0346846461     PISSN: 01689002     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.nima.2003.08.157     Document Type: Article

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