PatLongLivedTracking: a tracking algorithm for the reconstruction of the daughters of long-lived particles in LHCb Article Swipe

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A. Davis , Adam Mateusz Dendek , M. De Cian , T. Szumlak ·

YOU? · · 2017 · Open Access ·

The PatLongLivedTracking algorithm is used to reconstruct tracks of daughters of long-lived particles such as $K_S^0$ and $\\Lambda$ in Run $\\text {II}$ of the LHCb data taking period. It uses as input tracks from the standalone tracking in the $\\text T$ stations and propagates them back through the magnetic ﬁeld, where information from the $\\text {TT}$ detector is added. This note presents a detailed description of the algorithm and its performance.

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Algorithm

Computer Science

Artificial Intelligence

Computer Vision

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Tracking (education) Algorithm Computer science Artificial intelligence Computer vision Sociology Pedagogy

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Type: article
Language: en
Landing Page: http://cds.cern.ch/record/2240723
PDF: http://cds.cern.ch/record/2240723
OA Status: green
Cited By: 5
Related Works: 20
OpenAlex ID: https://openalex.org/W2584048719

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Title: PatLongLivedTracking: a tracking algorithm for the reconstruction of the daughters of long-lived particles in LHCb

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Type: article

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Language: en

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Publication year: 2017

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Publication date: 2017-01-09

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Authors: A. Davis, Adam Mateusz Dendek, M. De Cian, T. Szumlak

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Landing page: https://cds.cern.ch/record/2240723

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Concepts: Tracking (education), Algorithm, Computer science, Artificial intelligence, Computer vision, Sociology, Pedagogy

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Cited by: 5

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Citations by year (recent): 2022: 2, 2020: 1, 2019: 1, 2018: 1

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Related works (count): 20

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