CATS: a cellular automaton for tracking in silicon for the HERA-B vertex detector
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| Title: | CATS: a cellular automaton for tracking in silicon for the HERA-B vertex detector |
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| Authors: | Abt, I.1, Emeliyanov, D.2,3 emelian@mail.desy.de, Kisel, I.1,4, Masciocchi, S.1 |
| Source: | Nuclear Instruments & Methods in Physics Research Section A. Aug2002, Vol. 489 Issue 1-3, p389. 17p. |
| Subjects: | Pattern perception, Cellular automata, Kalman filtering |
| Abstract: | The new track reconstruction program CATS developed for the Vertex Detector System of the HERA-B experiment at DESY is presented. It employs a cellular automaton for track searching and the Kalman filter for track fitting. This results in a very fast algorithm that combines highly efficient track recognition with accurate and reliable track parameter estimation. To reduce the computational cost of the fit an optimized numerical implementation of the Kalman filter is used. Alternative approaches to the track reconstruction in the VDS are also discussed.Since 1999, after extensive tests on simulated data, CATS has been employed to reconstruct experimental data collected in HERA-B. Results regarding tracking performance, the accuracy of track parameter estimates and CPU time consumption are presented. [Copyright &y& Elsevier] |
| Copyright of Nuclear Instruments & Methods in Physics Research Section A is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 7873848 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/S0168-9002(02)00790-8 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 389 Subjects: – SubjectFull: Pattern perception Type: general – SubjectFull: Cellular automata Type: general – SubjectFull: Kalman filtering Type: general Titles: – TitleFull: CATS: a cellular automaton for tracking in silicon for the HERA-B vertex detector Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Abt, I. – PersonEntity: Name: NameFull: Emeliyanov, D. – PersonEntity: Name: NameFull: Kisel, I. – PersonEntity: Name: NameFull: Masciocchi, S. IsPartOfRelationships: – BibEntity: Dates: – D: 21 M: 08 Text: Aug2002 Type: published Y: 2002 Identifiers: – Type: issn-print Value: 01689002 Numbering: – Type: volume Value: 489 – Type: issue Value: 1-3 Titles: – TitleFull: Nuclear Instruments & Methods in Physics Research Section A Type: main |
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