001     1044113
005     20250912110139.0
024 7 _ |a 10.1109/TNS.2025.3587945
|2 doi
024 7 _ |a 0018-9499
|2 ISSN
024 7 _ |a 1558-1578
|2 ISSN
024 7 _ |a 10.34734/FZJ-2025-03029
|2 datacite_doi
024 7 _ |a WOS:001555522300030
|2 WOS
037 _ _ |a FZJ-2025-03029
082 _ _ |a 620
100 1 _ |a Jokhovets, L.
|0 P:(DE-Juel1)156472
|b 0
|e Corresponding author
245 _ _ |a Scintillator-based SiPM Detector: Improved Performance by Equalization of Pulse Arrival Times
260 _ _ |a New York, NY
|c 2025
|b IEEE
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1756104253_1898
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a A desired temporal accuracy of scintillator-based detectors is less than 100 ps. In medical imaging, this is necessary for successful time-of-flight positron emission tomography (TOF-PET) measurements. In high-energy physics, the calorimeter time resolution must also be on the order of tens of picoseconds. In this work we describe a way to achieve such a high level of performance for a detector consisting of a monolithic scintillator that distributes light over several cells of an analog silicon photomultiplier (SiPM) array. Each of the cells is read and analyzed separately, applying a waveform sampling (WFS)technique combined with a nonlinear rise approximation (nLRA).Initially, due to a specific spatiotemporal distribution of photons in the scintillator as well as saturation and recovery effects inherent to SiPMs, the spread of arrival times deduced from signals of different cells can exceed 1 ns for the same array and the same event. To improve the timing performance we propose a method of equalization of arrival times for predominantly illuminated cells in the same SiPM array. This results in a coincidence time resolution (CTR) below 100 ps FWHM for a pair of identical detectors
536 _ _ |a 622 - Detector Technologies and Systems (POF4-622)
|0 G:(DE-HGF)POF4-622
|c POF4-622
|f POF IV
|x 0
536 _ _ |a 1121 - Digitalization and Systems Technology for Flexibility Solutions (POF4-112)
|0 G:(DE-HGF)POF4-1121
|c POF4-112
|f POF IV
|x 1
536 _ _ |a 5253 - Neuroimaging (POF4-525)
|0 G:(DE-HGF)POF4-5253
|c POF4-525
|f POF IV
|x 2
588 _ _ |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de
700 1 _ |a Van den Boom, J.
|0 P:(DE-Juel1)162349
|b 1
|u fzj
700 1 _ |a Furletov, Sergey
|0 P:(DE-Juel1)156247
|b 2
700 1 _ |a Harff, M.
|0 P:(DE-Juel1)164820
|b 3
|u fzj
700 1 _ |a Kulessa, P.
|0 P:(DE-Juel1)131225
|b 4
|u fzj
700 1 _ |a Ramm, M.
|0 P:(DE-Juel1)133929
|b 5
|u fzj
700 1 _ |a Roth, C.
|0 P:(DE-Juel1)171480
|b 6
|u fzj
700 1 _ |a Schlösser, M.
|0 P:(DE-Juel1)133936
|b 7
700 1 _ |a Streun, M.
|0 P:(DE-Juel1)133944
|b 8
700 1 _ |a Wagenknecht, G.
|0 P:(DE-Juel1)133954
|b 9
|u fzj
700 1 _ |a Van Waasen, S.
|0 P:(DE-Juel1)142562
|b 10
773 _ _ |a 10.1109/TNS.2025.3587945
|g p. 1 - 1
|0 PERI:(DE-600)2025398-9
|n 8
|p 2956 - 2964
|t IEEE transactions on nuclear science
|v 72
|y 2025
|x 0018-9499
856 4 _ |u https://juser.fz-juelich.de/record/1044113/files/Postprint_handed_in.pdf
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:1044113
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)156472
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 1
|6 P:(DE-Juel1)162349
910 1 _ |a Thomas Jefferson National Accelerator Facility, Newport News, VA, USA
|0 I:(DE-HGF)0
|b 2
|6 P:(DE-Juel1)156247
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 3
|6 P:(DE-Juel1)164820
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 4
|6 P:(DE-Juel1)131225
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 5
|6 P:(DE-Juel1)133929
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 6
|6 P:(DE-Juel1)171480
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 7
|6 P:(DE-Juel1)133936
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 8
|6 P:(DE-Juel1)133944
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 9
|6 P:(DE-Juel1)133954
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 10
|6 P:(DE-Juel1)142562
913 1 _ |a DE-HGF
|b Forschungsbereich Materie
|l Materie und Technologie
|1 G:(DE-HGF)POF4-620
|0 G:(DE-HGF)POF4-622
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-600
|4 G:(DE-HGF)POF
|v Detector Technologies and Systems
|x 0
913 1 _ |a DE-HGF
|b Forschungsbereich Energie
|l Energiesystemdesign (ESD)
|1 G:(DE-HGF)POF4-110
|0 G:(DE-HGF)POF4-112
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-100
|4 G:(DE-HGF)POF
|v Digitalisierung und Systemtechnik
|9 G:(DE-HGF)POF4-1121
|x 1
913 1 _ |a DE-HGF
|b Key Technologies
|l Natural, Artificial and Cognitive Information Processing
|1 G:(DE-HGF)POF4-520
|0 G:(DE-HGF)POF4-525
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Decoding Brain Organization and Dysfunction
|9 G:(DE-HGF)POF4-5253
|x 2
914 1 _ |y 2025
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2024-12-28
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2024-12-28
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1160
|2 StatID
|b Current Contents - Engineering, Computing and Technology
|d 2024-12-28
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2024-12-28
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b IEEE T NUCL SCI : 2022
|d 2024-12-28
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2024-12-28
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2024-12-28
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
|d 2024-12-28
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2024-12-28
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1150
|2 StatID
|b Current Contents - Physical, Chemical and Earth Sciences
|d 2024-12-28
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2024-12-28
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2024-12-28
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)PGI-4-20110106
|k PGI-4
|l Integrated Computing Architectures
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)PGI-4-20110106
980 1 _ |a FullTexts


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21