Trigger level track reconstruction in CMS with a fully time-multiplexed architecture using a Hough transform implemented in an FPGA Article Swipe
A new tracking system is under development for operation in the CMS experiment at the High Luminosity LHC. It includes an outer tracker which will construct ``stubs'' -- pairs of hits built by correlating clusters measured in two closely spaced silicon sensor layers -- and transmit them off-detector at 40 MHz. If tracker data is to contribute to keeping the Level-1 trigger rate at around 750 kHz under increased luminosity, a crucial component of the upgrade will be the ability to identify tracks with transverse momentum above 3 GeV/c by building tracks out of stubs. A concept for an FPGA-based track finder using a fully time-multiplexed architecture is presented, where track candidates are identified using a projective binning algorithm based on the Hough Transform. A hardware system based on the MP7 MicroTCA processing card has been assembled, demonstrating a realistic slice of the track finder in order to help gauge the performance and requirements for a full system. This document outlines the system architecture and algorithms employed, highlighting some of the first results from the hardware demonstrator and discusses the prospects and performance of the completed track finder.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.22323/1.282.1000
- https://pos.sissa.it/282/1000/pdf
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- 6
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- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W2802029238Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.22323/1.282.1000Digital Object Identifier
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Trigger level track reconstruction in CMS with a fully time-multiplexed architecture using a Hough transform implemented in an FPGAWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2017Year of publication
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2017-02-06Full publication date if available
- Authors
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L. CalligarisList of authors in order
- Landing page
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https://doi.org/10.22323/1.282.1000Publisher landing page
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https://pos.sissa.it/282/1000/pdfDirect link to full text PDF
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://pos.sissa.it/282/1000/pdfDirect OA link when available
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Field-programmable gate array, Hough transform, Computer science, Track (disk drive), Architecture, Multiplexing, Embedded system, Computer hardware, Computer vision, Real-time computing, Computer architecture, Artificial intelligence, Image (mathematics), Telecommunications, Operating system, Art, Visual artsTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.sensor | 41 |
| abstract_inverted_index.spaced | 39 |
| abstract_inverted_index.stubs. | 94 |
| abstract_inverted_index.system | 3, 126, 162 |
| abstract_inverted_index.tracks | 82, 91 |
| abstract_inverted_index.Level-1 | 60 |
| abstract_inverted_index.ability | 79 |
| abstract_inverted_index.binning | 117 |
| abstract_inverted_index.closely | 38 |
| abstract_inverted_index.concept | 96 |
| abstract_inverted_index.crucial | 71 |
| abstract_inverted_index.finder. | 187 |
| abstract_inverted_index.keeping | 58 |
| abstract_inverted_index.results | 172 |
| abstract_inverted_index.silicon | 40 |
| abstract_inverted_index.system. | 157 |
| abstract_inverted_index.tracker | 22, 52 |
| abstract_inverted_index.trigger | 61 |
| abstract_inverted_index.upgrade | 75 |
| abstract_inverted_index.MicroTCA | 131 |
| abstract_inverted_index.building | 90 |
| abstract_inverted_index.clusters | 34 |
| abstract_inverted_index.document | 159 |
| abstract_inverted_index.hardware | 125, 175 |
| abstract_inverted_index.identify | 81 |
| abstract_inverted_index.includes | 19 |
| abstract_inverted_index.measured | 35 |
| abstract_inverted_index.momentum | 85 |
| abstract_inverted_index.outlines | 160 |
| abstract_inverted_index.tracking | 2 |
| abstract_inverted_index.transmit | 45 |
| abstract_inverted_index.``stubs'' | 26 |
| abstract_inverted_index.algorithm | 118 |
| abstract_inverted_index.completed | 185 |
| abstract_inverted_index.component | 72 |
| abstract_inverted_index.construct | 25 |
| abstract_inverted_index.discusses | 178 |
| abstract_inverted_index.employed, | 166 |
| abstract_inverted_index.increased | 68 |
| abstract_inverted_index.operation | 8 |
| abstract_inverted_index.prospects | 180 |
| abstract_inverted_index.realistic | 139 |
| abstract_inverted_index.FPGA-based | 99 |
| abstract_inverted_index.Luminosity | 16 |
| abstract_inverted_index.Transform. | 123 |
| abstract_inverted_index.algorithms | 165 |
| abstract_inverted_index.assembled, | 136 |
| abstract_inverted_index.candidates | 111 |
| abstract_inverted_index.contribute | 56 |
| abstract_inverted_index.experiment | 12 |
| abstract_inverted_index.identified | 113 |
| abstract_inverted_index.presented, | 108 |
| abstract_inverted_index.processing | 132 |
| abstract_inverted_index.projective | 116 |
| abstract_inverted_index.transverse | 84 |
| abstract_inverted_index.correlating | 33 |
| abstract_inverted_index.development | 6 |
| abstract_inverted_index.luminosity, | 69 |
| abstract_inverted_index.performance | 151, 182 |
| abstract_inverted_index.architecture | 106, 163 |
| abstract_inverted_index.demonstrator | 176 |
| abstract_inverted_index.highlighting | 167 |
| abstract_inverted_index.off-detector | 47 |
| abstract_inverted_index.requirements | 153 |
| abstract_inverted_index.demonstrating | 137 |
| abstract_inverted_index.time-multiplexed | 105 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5069621204 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 1 |
| corresponding_institution_ids | https://openalex.org/I1286704778 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/11 |
| sustainable_development_goals[0].score | 0.4699999988079071 |
| sustainable_development_goals[0].display_name | Sustainable cities and communities |
| citation_normalized_percentile.value | 0.41213064 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |