001047703 001__ 1047703
001047703 005__ 20251119095536.0
001047703 037__ $$aFZJ-2025-04469
001047703 041__ $$aEnglish
001047703 1001_ $$0P:(DE-Juel1)171927$$aBekman, Ilja$$b0$$eCorresponding author$$ufzj
001047703 1112_ $$aTopical Workshop on Electronics for Particle Physics 2025$$cRethymno$$d2025-10-06 - 2025-10-10$$gTWEPP 2025$$wGreece
001047703 245__ $$aFPGA-Based Real-Time Waveform Classification and Reduction in Particle Detectors
001047703 260__ $$c2025
001047703 3367_ $$033$$2EndNote$$aConference Paper
001047703 3367_ $$2DataCite$$aOther
001047703 3367_ $$2BibTeX$$aINPROCEEDINGS
001047703 3367_ $$2DRIVER$$aconferenceObject
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001047703 3367_ $$0PUB:(DE-HGF)6$$2PUB:(DE-HGF)$$aConference Presentation$$bconf$$mconf$$s1763542339_6777$$xAfter Call
001047703 520__ $$aThe SHiP SBT self-triggered readout will process SiPM sum signals sampled at 800 MSPS and 12 bit resolution to extract calorimetric particle hit information. A waveform classification is being deployed on the readout FPGA to reduce the volume of transmitted data.The classification divides events into expected signal, expected noise or containing unexpected features applying different degrees of compression.In this study, we consider LUT-based neural-networks and address challenges of NN layout, footprint and performance. Preliminary planning indicates significant data reduction, easing constraints on infrastructure.
001047703 536__ $$0G:(DE-HGF)POF4-5234$$a5234 - Emerging NC Architectures (POF4-523)$$cPOF4-523$$fPOF IV$$x0
001047703 7001_ $$0P:(DE-Juel1)180232$$aEguzo, Chimezie Vincent$$b1$$ufzj
001047703 8564_ $$uhttps://indico.cern.ch/event/1502285/contributions/6554519/
001047703 8564_ $$uhttps://juser.fz-juelich.de/record/1047703/files/2025-10-09_FPGA-Classification__Bekman.pdf$$yRestricted
001047703 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)171927$$aForschungszentrum Jülich$$b0$$kFZJ
001047703 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)180232$$aForschungszentrum Jülich$$b1$$kFZJ
001047703 9131_ $$0G:(DE-HGF)POF4-523$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5234$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vNeuromorphic Computing and Network Dynamics$$x0
001047703 9141_ $$y2025
001047703 920__ $$lyes
001047703 9201_ $$0I:(DE-Juel1)PGI-4-20110106$$kPGI-4$$lIntegrated Computing Architectures$$x0
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001047703 980__ $$aVDBINPRINT
001047703 980__ $$aI:(DE-Juel1)PGI-4-20110106
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