Charged particle tracking in real-time using a full-mesh data delivery architecture and associative memory techniques

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Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorInstitut de Physique Nucleaire de Lyon (IPNL)-
Autor(es): dc.contributorINFN Sezione di Trieste-
Autor(es): dc.contributorUniversity of Bristol-
Autor(es): dc.contributorUniversity of Florida-
Autor(es): dc.contributorHBNI-
Autor(es): dc.contributorTexas A&M University-
Autor(es): dc.contributorINFN Sezione di Pisa-
Autor(es): dc.contributorNorthwestern University-
Autor(es): dc.contributorFermi National Accelerator Laboratory-
Autor(es): dc.contributorUniversity of Colorado Boulder-
Autor(es): dc.contributorUniversità di Padova-
Autor(es): dc.contributorPeking University-
Autor(es): dc.contributorCERN-
Autor(es): dc.creatorAjuha, Sudha-
Autor(es): dc.creatorAkira Shinoda, Ailton-
Autor(es): dc.creatorArruda Ramalho, Lucas-
Autor(es): dc.creatorBaulieu, Guillaume-
Autor(es): dc.creatorBoudoul, Gaelle-
Autor(es): dc.creatorCasarsa, Massimo-
Autor(es): dc.creatorCascadan, Andre-
Autor(es): dc.creatorClement, Emyr-
Autor(es): dc.creatorCosta de Paiva, Thiago-
Autor(es): dc.creatorDas, Souvik-
Autor(es): dc.creatorDutta, Suchandra-
Autor(es): dc.creatorEusebi, Ricardo-
Autor(es): dc.creatorFedi, Giacomo-
Autor(es): dc.creatorFinotti Ferreira, Vitor-
Autor(es): dc.creatorHahn, Kristian-
Autor(es): dc.creatorHu, Zhen-
Autor(es): dc.creatorJindariani, Sergo-
Autor(es): dc.creatorKonigsberg, Jacobo-
Autor(es): dc.creatorLiu, Tiehui-
Autor(es): dc.creatorFu Low, Jia-
Autor(es): dc.creatorMacDonald, Emily-
Autor(es): dc.creatorOlsen, Jamieson-
Autor(es): dc.creatorPalla, Fabrizio-
Autor(es): dc.creatorPozzobon, Nicola-
Autor(es): dc.creatorRathjens, Denis-
Autor(es): dc.creatorRistori, Luciano-
Autor(es): dc.creatorRossin, Roberto-
Autor(es): dc.creatorSung, Kevin-
Autor(es): dc.creatorTran, Nhan-
Autor(es): dc.creatorTrovato, Marco-
Autor(es): dc.creatorUlmer, Keith-
Autor(es): dc.creatorVaz, Mario-
Autor(es): dc.creatorViret, Sebastien-
Autor(es): dc.creatorWu, Jin-Yuan-
Autor(es): dc.creatorXu, Zijun-
Autor(es): dc.creatorZorzetti, Silvia-
Data de aceite: dc.date.accessioned2025-08-21T22:09:32Z-
Data de disponibilização: dc.date.available2025-08-21T22:09:32Z-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2022-11-30-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1088/1748-0221/17/12/P12002-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/246469-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/246469-
Descrição: dc.descriptionWe present a flexible and scalable approach to address the challenges of charged particle track reconstruction in real-time event filters (Level-1 triggers) in collider physics experiments. The method described here is based on a full-mesh architecture for data distribution and relies on the Associative Memory approach to implement a pattern recognition algorithm that quickly identifies and organizes hits associated to trajectories of particles originating from particle collisions. We describe a successful implementation of a demonstration system composed of several innovative hardware and algorithmic elements. The implementation of a full-size system relies on the assumption that an Associative Memory device with the sufficient pattern density becomes available in the future, either through a dedicated ASIC or a modern FPGA. We demonstrate excellent performance in terms of track reconstruction efficiency, purity, momentum resolution, and processing time measured with data from a simulated LHC-like tracking detector.-
Descrição: dc.descriptionUNESP Sao Paulo State University-
Descrição: dc.descriptionInstitut de Physique Nucleaire de Lyon (IPNL)-
Descrição: dc.descriptionINFN Sezione di Trieste-
Descrição: dc.descriptionUniversity of Bristol-
Descrição: dc.descriptionUniversity of Florida-
Descrição: dc.descriptionSaha Institute of Nuclear Physics HBNI-
Descrição: dc.descriptionTexas A&M University-
Descrição: dc.descriptionINFN Sezione di Pisa-
Descrição: dc.descriptionNorthwestern University-
Descrição: dc.descriptionFermi National Accelerator Laboratory-
Descrição: dc.descriptionUniversity of Colorado Boulder-
Descrição: dc.descriptionINFN Sezione di Padova Università di Padova-
Descrição: dc.descriptionPeking University-
Descrição: dc.descriptionCERN, Esplanade des Particules 1, Geneva-
Descrição: dc.descriptionUNESP Sao Paulo State University-
Idioma: dc.languageen-
Relação: dc.relationJournal of Instrumentation-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectData acquisition concepts-
Palavras-chave: dc.subjectOnline farms and online filtering-
Palavras-chave: dc.subjectTrigger algorithms-
Palavras-chave: dc.subjectTrigger concepts and systems (hardware and software)-
Título: dc.titleCharged particle tracking in real-time using a full-mesh data delivery architecture and associative memory techniques-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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