Depth of interaction determination technique based on principal component analysis
Joint Authors
Yahya, A.
Sayyid, M.
Salih, H.
Ashur, M.
Source
Arab Journal of Nuclear Sciences and Applications
Issue
Vol. 46, Issue 5 (31 Dec. 2013), pp.197-204, 8 p.
Publisher
The Egyptian Society of Nuclear Science and Applications
Publication Date
2013-12-31
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Natural & Life Sciences (Multidisciplinary)
Abstract EN
This paper presents a Principal Component Analysis (PCA)-based pulse shape discrimination (PSD) algorithm to be used in scintillation pulsesdiscrimination.
This algorithm is applied to a data set of LSO and LuYAP detectors.
The comparison between PCA algorithm and the recent algorithms like FFT- and wavelet-based discrimination showed that PCA algorithm gives thePSD efficiency of 99.46% while recent discrimination techniques depending on FFT and wavelet give 99.3% and 97.18 % respectively.
The PCA-based algorithm avoids difficulty of FFT computation complexity and gives efficiency greater than FFT-based algorithm.
Moreover, PCA-based algorithm is moreefficient than a recently proposed wavelet-based algorithm.
American Psychological Association (APA)
Salih, H.& Yahya, A.& Ashur, M.& Sayyid, M.. 2013. Depth of interaction determination technique based on principal component analysis. Arab Journal of Nuclear Sciences and Applications،Vol. 46, no. 5, pp.197-204.
https://search.emarefa.net/detail/BIM-762024
Modern Language Association (MLA)
Salih, H.…[et al.]. Depth of interaction determination technique based on principal component analysis. Arab Journal of Nuclear Sciences and Applications Vol. 46, no. 5 (Dec. 2013), pp.197-204.
https://search.emarefa.net/detail/BIM-762024
American Medical Association (AMA)
Salih, H.& Yahya, A.& Ashur, M.& Sayyid, M.. Depth of interaction determination technique based on principal component analysis. Arab Journal of Nuclear Sciences and Applications. 2013. Vol. 46, no. 5, pp.197-204.
https://search.emarefa.net/detail/BIM-762024
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 202-204
Record ID
BIM-762024