Daniele Passaro, Giulio Cordova, Federico Lazzari, Elena Graverini, Michael Joseph Morello, Giovanni Punzi
{"title":"在大型强子对撞机 b VELO 像素探测器中通过实时命中重构监测大型强子对撞机光束","authors":"Daniele Passaro, Giulio Cordova, Federico Lazzari, Elena Graverini, Michael Joseph Morello, Giovanni Punzi","doi":"arxiv-2409.06524","DOIUrl":null,"url":null,"abstract":"The increasing computing power and bandwidth of programmable digital devices\nopens new possibilities in the field of real-time processing of HEP data. The\nLHCb collaboration is exploiting these technology advancements in various ways\nto enhance its capability for complex data reconstruction in real time. Amongst\nthem is the real-time reconstruction of hits in the VELO pixel detector, by\nmeans of real-time cluster-finding embedded in the readout board firmware. This\nreconstruction, in addition to saving data-acquisition bandwidth and high-level\ntrigger computing resources, also enables further useful applications in\nprecision monitoring and diagnostics of LHC beam conditions. In fact, clusters\nof pixels, being more reliable and robust indications of physical particle hits\nthan raw pixel counts, are also exempt from the complications associated to the\nreconstruction of tracks, that involves alignment issues and is sensitive to\nmulti-layer efficiency products. In this paper, we describe the design and\nimplementation of a flexible system embedded in the readout firmware of the\nVELO detector, allowing real-time measurement of cluster density in several\nparts of the detector simultaneously, and separately for every bunch ID, for\nevery single LHC collision, without any slowdown of data acquisition.\nQuantitative applications of this system to luminosity measurement and beam\nmonitoring are demonstrated.","PeriodicalId":501374,"journal":{"name":"arXiv - PHYS - Instrumentation and Detectors","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"LHC beam monitoring via real-time hit reconstruction in the LHCb VELO pixel detector\",\"authors\":\"Daniele Passaro, Giulio Cordova, Federico Lazzari, Elena Graverini, Michael Joseph Morello, Giovanni Punzi\",\"doi\":\"arxiv-2409.06524\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The increasing computing power and bandwidth of programmable digital devices\\nopens new possibilities in the field of real-time processing of HEP data. The\\nLHCb collaboration is exploiting these technology advancements in various ways\\nto enhance its capability for complex data reconstruction in real time. Amongst\\nthem is the real-time reconstruction of hits in the VELO pixel detector, by\\nmeans of real-time cluster-finding embedded in the readout board firmware. This\\nreconstruction, in addition to saving data-acquisition bandwidth and high-level\\ntrigger computing resources, also enables further useful applications in\\nprecision monitoring and diagnostics of LHC beam conditions. In fact, clusters\\nof pixels, being more reliable and robust indications of physical particle hits\\nthan raw pixel counts, are also exempt from the complications associated to the\\nreconstruction of tracks, that involves alignment issues and is sensitive to\\nmulti-layer efficiency products. In this paper, we describe the design and\\nimplementation of a flexible system embedded in the readout firmware of the\\nVELO detector, allowing real-time measurement of cluster density in several\\nparts of the detector simultaneously, and separately for every bunch ID, for\\nevery single LHC collision, without any slowdown of data acquisition.\\nQuantitative applications of this system to luminosity measurement and beam\\nmonitoring are demonstrated.\",\"PeriodicalId\":501374,\"journal\":{\"name\":\"arXiv - PHYS - Instrumentation and Detectors\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - PHYS - Instrumentation and Detectors\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2409.06524\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Instrumentation and Detectors","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.06524","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
LHC beam monitoring via real-time hit reconstruction in the LHCb VELO pixel detector
The increasing computing power and bandwidth of programmable digital devices
opens new possibilities in the field of real-time processing of HEP data. The
LHCb collaboration is exploiting these technology advancements in various ways
to enhance its capability for complex data reconstruction in real time. Amongst
them is the real-time reconstruction of hits in the VELO pixel detector, by
means of real-time cluster-finding embedded in the readout board firmware. This
reconstruction, in addition to saving data-acquisition bandwidth and high-level
trigger computing resources, also enables further useful applications in
precision monitoring and diagnostics of LHC beam conditions. In fact, clusters
of pixels, being more reliable and robust indications of physical particle hits
than raw pixel counts, are also exempt from the complications associated to the
reconstruction of tracks, that involves alignment issues and is sensitive to
multi-layer efficiency products. In this paper, we describe the design and
implementation of a flexible system embedded in the readout firmware of the
VELO detector, allowing real-time measurement of cluster density in several
parts of the detector simultaneously, and separately for every bunch ID, for
every single LHC collision, without any slowdown of data acquisition.
Quantitative applications of this system to luminosity measurement and beam
monitoring are demonstrated.