Signal classification for acoustic neutrino detection

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

Volumn 662, Issue SUPPL. 1, 2012, Pages

  Neff, M ^a   Anton, G ^a   Enzenhofer A ^a   Graf, K ^a   Hossl J ^a   Katz, U ^a   Lahmann, R ^a   Richardt, C ^a  

^a UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

Author keywords

Acoustic particle detection; Feature extraction; Machine learning; Neutrino detection; Signal classification

Indexed keywords

CLASSIFICATION SYSTEM; DEEP SEA; DENSE CLUSTERS; MACHINE-LEARNING; MATCHED FILTERING; NEUTRINO DETECTION; ON-MACHINES; PARTICLE DETECTION; RANDOM FORESTS; SIGNAL CLASSIFICATION; SINGLE SENSOR; TESTING ERRORS; TRANSIENT SIGNAL;

DECISION TREES; ELEMENTARY PARTICLES; FEATURE EXTRACTION; LEARNING ALGORITHMS; LEARNING SYSTEMS; SENSORS;

SIGNAL DETECTION;

EID: 84655164962     PISSN: 01689002     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.nima.2010.11.016     Document Type: Article

References (7)

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