{"title":"LHCb升级的跟踪、顶点化和数据处理策略","authors":"Paul Seyfert","doi":"10.22323/1.309.0039","DOIUrl":null,"url":null,"abstract":"For Run III (2021 onwards) of the LHC, LHCb will take data at an instantaneous \nluminosity of $2 \\times 10^{33} \\mathrm{cm}^{-2} \\mathrm{s}^{-1}$, five times \nhigher than in Run II (2015-2018). To cope with the harsher data taking \nconditions, the LHCb collaboration will upgrade the DAQ system and install a \npurely software based trigger, in addition to various detector upgrades. The \nhigh readout rate contributes to the challenge of reconstructing and selecting \nevents in real time. \n \nSpecial emphasis in this contribution will be put on the need for fast track \nreconstruction in the software trigger. The modified detector \ninfrastructure will be able to face this challenge and the necessary \nchanges to the reconstruction sequence are discussed. A novel strategy is presented which \ndistributes and maximises the bandwidth among the different physics channels \nusing a genetic algorithm. \n \nThe data processing chain includes a redesign of the event scheduling, \nintroduction of concurrent processing, optimisations in processor cache \naccesses and code vectorisation. Furthermore changes in the areas of event \nmodel, conditions data and detector description are foreseen.","PeriodicalId":325789,"journal":{"name":"Proceedings of The 26th International Workshop on Vertex Detectors — PoS(Vertex 2017)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Tracking, Vertexing and data handling strategy for the LHCb upgrade\",\"authors\":\"Paul Seyfert\",\"doi\":\"10.22323/1.309.0039\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For Run III (2021 onwards) of the LHC, LHCb will take data at an instantaneous \\nluminosity of $2 \\\\times 10^{33} \\\\mathrm{cm}^{-2} \\\\mathrm{s}^{-1}$, five times \\nhigher than in Run II (2015-2018). To cope with the harsher data taking \\nconditions, the LHCb collaboration will upgrade the DAQ system and install a \\npurely software based trigger, in addition to various detector upgrades. The \\nhigh readout rate contributes to the challenge of reconstructing and selecting \\nevents in real time. \\n \\nSpecial emphasis in this contribution will be put on the need for fast track \\nreconstruction in the software trigger. The modified detector \\ninfrastructure will be able to face this challenge and the necessary \\nchanges to the reconstruction sequence are discussed. A novel strategy is presented which \\ndistributes and maximises the bandwidth among the different physics channels \\nusing a genetic algorithm. \\n \\nThe data processing chain includes a redesign of the event scheduling, \\nintroduction of concurrent processing, optimisations in processor cache \\naccesses and code vectorisation. Furthermore changes in the areas of event \\nmodel, conditions data and detector description are foreseen.\",\"PeriodicalId\":325789,\"journal\":{\"name\":\"Proceedings of The 26th International Workshop on Vertex Detectors — PoS(Vertex 2017)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-07-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of The 26th International Workshop on Vertex Detectors — PoS(Vertex 2017)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.22323/1.309.0039\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of The 26th International Workshop on Vertex Detectors — PoS(Vertex 2017)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22323/1.309.0039","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Tracking, Vertexing and data handling strategy for the LHCb upgrade
For Run III (2021 onwards) of the LHC, LHCb will take data at an instantaneous
luminosity of $2 \times 10^{33} \mathrm{cm}^{-2} \mathrm{s}^{-1}$, five times
higher than in Run II (2015-2018). To cope with the harsher data taking
conditions, the LHCb collaboration will upgrade the DAQ system and install a
purely software based trigger, in addition to various detector upgrades. The
high readout rate contributes to the challenge of reconstructing and selecting
events in real time.
Special emphasis in this contribution will be put on the need for fast track
reconstruction in the software trigger. The modified detector
infrastructure will be able to face this challenge and the necessary
changes to the reconstruction sequence are discussed. A novel strategy is presented which
distributes and maximises the bandwidth among the different physics channels
using a genetic algorithm.
The data processing chain includes a redesign of the event scheduling,
introduction of concurrent processing, optimisations in processor cache
accesses and code vectorisation. Furthermore changes in the areas of event
model, conditions data and detector description are foreseen.