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Track parameter propagation through the application of a new adaptive Runge-Kutta-Nystrom method in the ATLAS experiment

In this paper we study several fixed step and adaptive Runge-Kutta methods suitable for transporting track parameters through an inhomogeneous magnetic field. Moreover, we present a new adaptive Runge-Kutta-Nystrom method which estimates the local error of the extrapolation without introducing extra...

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Detalles Bibliográficos
Autores principales: Lund, E, Bugge, L, Gavrilenko, I, Strandlie, A
Lenguaje:eng
Publicado: 2008
Materias:
Acceso en línea:https://dx.doi.org/10.1088/1748-0221/4/04/P04001
http://cds.cern.ch/record/1113528
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author Lund, E
Bugge, L
Gavrilenko, I
Strandlie, A
author_facet Lund, E
Bugge, L
Gavrilenko, I
Strandlie, A
author_sort Lund, E
collection CERN
description In this paper we study several fixed step and adaptive Runge-Kutta methods suitable for transporting track parameters through an inhomogeneous magnetic field. Moreover, we present a new adaptive Runge-Kutta-Nystrom method which estimates the local error of the extrapolation without introducing extra stages to the original Runge-Kutta-Nystrom method. Furthermore, these methods are compared for propagation accuracy and computing cost efficiency in the simultaneous track and error propagation (STEP) algorithm of the common ATLAS tracking software. The tests show the new adaptive Runge-Kutta-Nystrom method to be the most computing cost efficient.
id cern-1113528
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2008
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spelling cern-11135282019-09-30T06:29:59Zdoi:10.1088/1748-0221/4/04/P04001http://cds.cern.ch/record/1113528engLund, EBugge, LGavrilenko, IStrandlie, ATrack parameter propagation through the application of a new adaptive Runge-Kutta-Nystrom method in the ATLAS experimentDetectors and Experimental TechniquesIn this paper we study several fixed step and adaptive Runge-Kutta methods suitable for transporting track parameters through an inhomogeneous magnetic field. Moreover, we present a new adaptive Runge-Kutta-Nystrom method which estimates the local error of the extrapolation without introducing extra stages to the original Runge-Kutta-Nystrom method. Furthermore, these methods are compared for propagation accuracy and computing cost efficiency in the simultaneous track and error propagation (STEP) algorithm of the common ATLAS tracking software. The tests show the new adaptive Runge-Kutta-Nystrom method to be the most computing cost efficient.ATL-SOFT-PUB-2009-001ATL-COM-SOFT-2008-006oai:cds.cern.ch:11135282008-07-03
spellingShingle Detectors and Experimental Techniques
Lund, E
Bugge, L
Gavrilenko, I
Strandlie, A
Track parameter propagation through the application of a new adaptive Runge-Kutta-Nystrom method in the ATLAS experiment
title Track parameter propagation through the application of a new adaptive Runge-Kutta-Nystrom method in the ATLAS experiment
title_full Track parameter propagation through the application of a new adaptive Runge-Kutta-Nystrom method in the ATLAS experiment
title_fullStr Track parameter propagation through the application of a new adaptive Runge-Kutta-Nystrom method in the ATLAS experiment
title_full_unstemmed Track parameter propagation through the application of a new adaptive Runge-Kutta-Nystrom method in the ATLAS experiment
title_short Track parameter propagation through the application of a new adaptive Runge-Kutta-Nystrom method in the ATLAS experiment
title_sort track parameter propagation through the application of a new adaptive runge-kutta-nystrom method in the atlas experiment
topic Detectors and Experimental Techniques
url https://dx.doi.org/10.1088/1748-0221/4/04/P04001
http://cds.cern.ch/record/1113528
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AT buggel trackparameterpropagationthroughtheapplicationofanewadaptiverungekuttanystrommethodintheatlasexperiment
AT gavrilenkoi trackparameterpropagationthroughtheapplicationofanewadaptiverungekuttanystrommethodintheatlasexperiment
AT strandliea trackparameterpropagationthroughtheapplicationofanewadaptiverungekuttanystrommethodintheatlasexperiment