TY - GEN
T1 - An approximation of the GLRT for real time muon detection
AU - Primor, David
AU - Mikenberg, Giora
AU - Messer, Hagit
N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2008
Y1 - 2008
N2 - The problem of detecting muons in a particle detector is considered. The tracks of high momentum muons can be considered as straight lines, and thus well known techniques for line detection, such as the Hough transform, can be used. In this paper, we show that the Hough transform, which is commonly used in High Energy Physics, can be interpreted as an approximation of the Generalized Likelihood Ration Test (GLRT). We consider the case of a muon detector which consists of a set of sub-detectors, where each sub-detector provides a random activity measurement. Using the probability density functions of these activity measurements, a GLRT for muon detection is calculated, and its performance - when approximated by the Hough transform - is demonstrated.
AB - The problem of detecting muons in a particle detector is considered. The tracks of high momentum muons can be considered as straight lines, and thus well known techniques for line detection, such as the Hough transform, can be used. In this paper, we show that the Hough transform, which is commonly used in High Energy Physics, can be interpreted as an approximation of the Generalized Likelihood Ration Test (GLRT). We consider the case of a muon detector which consists of a set of sub-detectors, where each sub-detector provides a random activity measurement. Using the probability density functions of these activity measurements, a GLRT for muon detection is calculated, and its performance - when approximated by the Hough transform - is demonstrated.
KW - GLRT
KW - Hough transform
KW - Line detection
KW - Muon track detection
UR - http://www.scopus.com/inward/record.url?scp=51449101324&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2008.4518439
DO - 10.1109/ICASSP.2008.4518439
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AN - SCOPUS:51449101324
SN - 1424414849
SN - 9781424414840
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 3633
EP - 3636
BT - 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
T2 - 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
Y2 - 31 March 2008 through 4 April 2008
ER -