Automatic Optimization of a Parallel-Plate Avalanche Counter with Optical Readout

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dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Física de Partículas
dc.contributor.affiliationUniversidade de Santiago de Compostela. Instituto Galego de Física de Altas Enerxías (IGFAE)
dc.contributor.authorPereira Martínez, Maria
dc.contributor.authorCid Vidal, Xabier
dc.contributor.authorVischia, Pietro
dc.date.accessioned2026-04-22T13:51:30Z
dc.date.available2026-04-22T13:51:30Z
dc.date.issued2025
dc.date.updated2026-03-27T13:41:28Z
dc.description.abstractAn automatic optimization procedure is proposed for some operational parameters of a Parallel-Plate Avalanche Counter with Optical Readout, a detector designed for heavy-ion tracking and imaging. Exploiting differentiable programming and automatic differentiation, we model the reconstruction of the position of impinging 5.5 MeV alpha particles for different detector configurations and build an optimization cycle that minimizes an objective function. We analyze the performance improvement using this method, exploring the potential of these techniques in detector design.
dc.description.peerreviewedSI
dc.description.sponsorshipThe work of M. Pereira and X. Cid is supported by the Spanish Research State Agency under projects PID2022-139514NA-C33 and PCI2023-145984-2; by the "Maria de Maeztu" grant CEX2023-001318-M, funded by MICIU/AEI /10.13039/501100011033; and by the Xunta de Galicia (CIGUS Network of Research Centres). Pietro Vischia's work was supported by the "Ramon y Cajal" program under Project No. RYC2021-033305-I funded by the MCIN MCIN/AEI/10.13039/501100011033 and by the European Union NextGenerationEU/PRTR.
dc.identifier.citationMartinez, M. P., Vidal, X. C., & Vischia, P. (2025). Automatic Optimization of a Parallel-Plate Avalanche Counter with Optical Readout. PARTICLES, 8(1). https://doi.org/10.3390/PARTICLES8010026
dc.identifier.doi10.3390/PARTICLES8010026
dc.identifier.eissn2571-712X
dc.identifier.essn2571-712X
dc.identifier.urihttps://hdl.handle.net/10347/46909
dc.issue.number1
dc.journal.titleParticles
dc.language.isoeng
dc.publisherMDPI
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-139514NA-C33/ES/NUEVOS ENFOQUES PARA HALLAR FISICA MAS ALLA DEL MODELO ESTANDAR BUSCANDO PARTICULAS DE LARGA VIDA
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PCI2023-145984-2/ES/LHCB-CERN DATA CHALLENGES-USC
dc.relation.publisherversionhttps://doi.org/10.3390/particles8010026
dc.rights© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license
dc.rightsAttribution 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourcePARTICLES
dc.subjectDifferentiable programming
dc.subjectMachine learning
dc.subjectDetector optimization
dc.subjectNuclear physics
dc.titleAutomatic Optimization of a Parallel-Plate Avalanche Counter with Optical Readouten
dc.typejournal article
dc.type.hasVersionVoR
dc.volume.number8
dspace.entity.typePublication
oaire.awardNumberPID2022-139514NA-C33
oaire.awardNumberPCI2023-145984-2
oaire.awardNumberCEX2023-001318-M
oaire.awardNumberRYC2021-033305-I
oaire.funderNameSpanish Research State Agency
oaire.funderNameMICIU/AEI
oaire.funderNameXunta de Galicia (CIGUS Network of Research Centres)
oaire.funderNameRamon y Cajal
oaire.funderNameEuropean Union NextGenerationEU/PRTR
relation.isAuthorOfPublication75692f9e-5811-44e8-9d4f-957b88d7f397
relation.isAuthorOfPublication.latestForDiscovery75692f9e-5811-44e8-9d4f-957b88d7f397

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