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Combinatorial Kalman filter and high...
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Braun, Nils.
Combinatorial Kalman filter and high level trigger reconstruction for the Belle II experiment
Record Type:
Electronic resources : Monograph/item
Title/Author:
Combinatorial Kalman filter and high level trigger reconstruction for the Belle II experimentby Nils Braun.
Author:
Braun, Nils.
Published:
Cham :Springer International Publishing :2019.
Description:
xi, 177 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Kalman filtering.
Online resource:
https://doi.org/10.1007/978-3-030-24997-7
ISBN:
9783030249977$q(electronic bk.)
ISSN:
nmm a2200349 a 4500
Combinatorial Kalman filter and high level trigger reconstruction for the Belle II experiment
Braun, Nils.
Combinatorial Kalman filter and high level trigger reconstruction for the Belle II experiment
[electronic resource] /by Nils Braun. - Cham :Springer International Publishing :2019. - xi, 177 p. :ill., digital ;24 cm. - Springer theses,2190-5053. - Springer theses..
Introduction -- Experimental Setup -- Foundations -- Fast Reconstruction for the High Level Trigger -- Event Timing -- Combinatorial Kalman Filter -- Conclusion -- Bibliography.
Combinatorial Kalman filters are a standard tool today for pattern recognition and charged particle reconstruction in high energy physics. In this thesis the implementation of the track finding software for the Belle II experiment and first studies on early Belle II data are presented. The track finding algorithm exploits novel concepts such as multivariate track quality estimates to form charged trajectory hypotheses combining information from the Belle II central drift chamber with the inner vertex sub-detectors. The eventual track candidates show an improvement in resolution on the parameters describing their spatial and momentum properties by up to a factor of seven over the former legacy implementation. The second part of the thesis documents a novel way to determine the collision event null time T0 and the implementation of optimisation steps in the online reconstruction code, which proved crucial in overcoming the high level trigger limitations.
ISBN: 9783030249977$q(electronic bk.)
ISSN: nmm a2200349 a 4500
Standard No.: 10.1007/978-3-030-24997-7doiSubjects--Topical Terms:
213996
Kalman filtering.
LC Class. No.: QA402.3 / .B738 2019
Dewey Class. No.: 629.8312
Combinatorial Kalman filter and high level trigger reconstruction for the Belle II experiment
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Introduction -- Experimental Setup -- Foundations -- Fast Reconstruction for the High Level Trigger -- Event Timing -- Combinatorial Kalman Filter -- Conclusion -- Bibliography.
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Combinatorial Kalman filters are a standard tool today for pattern recognition and charged particle reconstruction in high energy physics. In this thesis the implementation of the track finding software for the Belle II experiment and first studies on early Belle II data are presented. The track finding algorithm exploits novel concepts such as multivariate track quality estimates to form charged trajectory hypotheses combining information from the Belle II central drift chamber with the inner vertex sub-detectors. The eventual track candidates show an improvement in resolution on the parameters describing their spatial and momentum properties by up to a factor of seven over the former legacy implementation. The second part of the thesis documents a novel way to determine the collision event null time T0 and the implementation of optimisation steps in the online reconstruction code, which proved crucial in overcoming the high level trigger limitations.
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Physics and Astronomy (Springer-11651)
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EB QA402.3 .B825 2019 2019
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