Novel Peak Detection Algorithms for Pileup Minimization in Gamma Ray Spectroscopy

A fast waveform sampling facility has been recently developed and integrated into the VAX-based data acquisition system at the Center for Applied Physical Sciences (CAPS). This study uses the above facility in developing algorithms for digitally determining the basic pulse parameters and tackling th...

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Main Author: Raad, M.W. (author)
Other Authors: Cheded, L. (author), unknown (author)
Format: article
Published: 2006
Subjects:
Online Access:https://eprints.kfupm.edu.sa/id/eprint/14502/1/14502_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14502/2/14502_2.doc
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author Raad, M.W.
author2 Cheded, L.
unknown
author2_role author
author
author_facet Raad, M.W.
Cheded, L.
unknown
author_role author
dc.creator.none.fl_str_mv Raad, M.W.
Cheded, L.
unknown
dc.date.none.fl_str_mv 2006-04
2020
dc.format.none.fl_str_mv application/pdf
application/msword
dc.identifier.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/14502/1/14502_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14502/2/14502_2.doc
(2006) Novel Peak Detection Algorithms for Pileup Minimization in Gamma Ray Spectroscopy. Instrumentation and Measurement Technology Conference, 2006. IMTC 2006. Proceedings of the IEEE, 1.
dc.language.none.fl_str_mv en
en
dc.publisher.none.fl_str_mv IEEE
dc.relation.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/14502/
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Computer
dc.title.none.fl_str_mv Novel Peak Detection Algorithms for Pileup Minimization in Gamma Ray Spectroscopy
dc.type.none.fl_str_mv Article
PeerReviewed
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description A fast waveform sampling facility has been recently developed and integrated into the VAX-based data acquisition system at the Center for Applied Physical Sciences (CAPS). This study uses the above facility in developing algorithms for digitally determining the basic pulse parameters and tackling the problem of pulse pile-up in Gamma-ray spectroscopy. A number of parameter estimation and digital online peak localisation algorithms are being developed, including a pulse classification technique which uses a simple peak search routine based on the smoothed first derivative method, which gave a percentage error of peak amplitude of less than 1%. The classification technique has the unique feature of cutting down the computation largely by only allowing the event of interest to be executed by a particular algorithm. The set-up was also tested with random signals from a 137Cs test source. Gamma pulses from a 3" Na(TI) scintillation detector were captured as single and double pulses for the purpose of testing the peak detection algorithms. The pulse classification technique was tested successfully on a TMS320C6000 high performance floating-point processor yielding a reduction of the execution time to 2 msec
eu_rights_str_mv openAccess
format article
id KFUPM_e47f0727f9db17fc1f82ca37b3f8d544
identifier_str_mv (2006) Novel Peak Detection Algorithms for Pileup Minimization in Gamma Ray Spectroscopy. Instrumentation and Measurement Technology Conference, 2006. IMTC 2006. Proceedings of the IEEE, 1.
language_invalid_str_mv en
network_acronym_str KFUPM
network_name_str King Fahd University of Petroleum and Minerals
oai_identifier_str oai::14502
publishDate 2006
publisher.none.fl_str_mv IEEE
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repository_id_str
spelling Novel Peak Detection Algorithms for Pileup Minimization in Gamma Ray SpectroscopyRaad, M.W.Cheded, L.unknownComputerA fast waveform sampling facility has been recently developed and integrated into the VAX-based data acquisition system at the Center for Applied Physical Sciences (CAPS). This study uses the above facility in developing algorithms for digitally determining the basic pulse parameters and tackling the problem of pulse pile-up in Gamma-ray spectroscopy. A number of parameter estimation and digital online peak localisation algorithms are being developed, including a pulse classification technique which uses a simple peak search routine based on the smoothed first derivative method, which gave a percentage error of peak amplitude of less than 1%. The classification technique has the unique feature of cutting down the computation largely by only allowing the event of interest to be executed by a particular algorithm. The set-up was also tested with random signals from a 137Cs test source. Gamma pulses from a 3" Na(TI) scintillation detector were captured as single and double pulses for the purpose of testing the peak detection algorithms. The pulse classification technique was tested successfully on a TMS320C6000 high performance floating-point processor yielding a reduction of the execution time to 2 msecIEEE2006-042020ArticlePeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/mswordhttps://eprints.kfupm.edu.sa/id/eprint/14502/1/14502_1.pdfhttps://eprints.kfupm.edu.sa/id/eprint/14502/2/14502_2.doc (2006) Novel Peak Detection Algorithms for Pileup Minimization in Gamma Ray Spectroscopy. Instrumentation and Measurement Technology Conference, 2006. IMTC 2006. Proceedings of the IEEE, 1. enenhttps://eprints.kfupm.edu.sa/id/eprint/14502/info:eu-repo/semantics/openAccessoai::145022019-11-01T14:06:06Z
spellingShingle Novel Peak Detection Algorithms for Pileup Minimization in Gamma Ray Spectroscopy
Raad, M.W.
Computer
status_str publishedVersion
title Novel Peak Detection Algorithms for Pileup Minimization in Gamma Ray Spectroscopy
title_full Novel Peak Detection Algorithms for Pileup Minimization in Gamma Ray Spectroscopy
title_fullStr Novel Peak Detection Algorithms for Pileup Minimization in Gamma Ray Spectroscopy
title_full_unstemmed Novel Peak Detection Algorithms for Pileup Minimization in Gamma Ray Spectroscopy
title_short Novel Peak Detection Algorithms for Pileup Minimization in Gamma Ray Spectroscopy
title_sort Novel Peak Detection Algorithms for Pileup Minimization in Gamma Ray Spectroscopy
topic Computer
url https://eprints.kfupm.edu.sa/id/eprint/14502/1/14502_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14502/2/14502_2.doc