Recent results on adaptive track and multitrack fitting

Track reconstruction in the LHC environment is characterized by a high background of noise and low-momentum tracks. Adaptive algorithms are able to suppress automatically noise hits and are therefore prime candidates for track fitting at the LHC. They can be implemented by minimizing an energy funct...

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Detalles Bibliográficos
Autores principales: Frühwirth, R, Strandlie, A, Todorov, T, Winkler, M
Lenguaje:eng
Publicado: 2003
Materias:
Detectors and Experimental Techniques
Acceso en línea:https://dx.doi.org/10.1016/S0168-9002(03)00549-7
http://cds.cern.ch/record/624961
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author Frühwirth, R
Strandlie, A
Todorov, T
Winkler, M
author_facet Frühwirth, R
Strandlie, A
Todorov, T
Winkler, M
author_sort Frühwirth, R
collection CERN
description Track reconstruction in the LHC environment is characterized by a high background of noise and low-momentum tracks. Adaptive algorithms are able to suppress automatically noise hits and are therefore prime candidates for track fitting at the LHC. They can be implemented by minimizing an energy function (Elastic Arms) or by iterating a recursive least-squares estimator (Deterministic Annealing Filter and Multitrack Filter). We present results from several simulation studies and show that the application of adaptive estimators can lead to substantial gains as compared to standard linear least-squares estimators.
id cern-624961
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2003
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spelling cern-6249612019-09-30T06:29:59Zdoi:10.1016/S0168-9002(03)00549-7http://cds.cern.ch/record/624961engFrühwirth, RStrandlie, ATodorov, TWinkler, MRecent results on adaptive track and multitrack fittingDetectors and Experimental TechniquesTrack reconstruction in the LHC environment is characterized by a high background of noise and low-momentum tracks. Adaptive algorithms are able to suppress automatically noise hits and are therefore prime candidates for track fitting at the LHC. They can be implemented by minimizing an energy function (Elastic Arms) or by iterating a recursive least-squares estimator (Deterministic Annealing Filter and Multitrack Filter). We present results from several simulation studies and show that the application of adaptive estimators can lead to substantial gains as compared to standard linear least-squares estimators.oai:cds.cern.ch:6249612003
spellingShingle Detectors and Experimental Techniques
Frühwirth, R
Strandlie, A
Todorov, T
Winkler, M
Recent results on adaptive track and multitrack fitting
title Recent results on adaptive track and multitrack fitting
title_full Recent results on adaptive track and multitrack fitting
title_fullStr Recent results on adaptive track and multitrack fitting
title_full_unstemmed Recent results on adaptive track and multitrack fitting
title_short Recent results on adaptive track and multitrack fitting
title_sort recent results on adaptive track and multitrack fitting
topic Detectors and Experimental Techniques
url https://dx.doi.org/10.1016/S0168-9002(03)00549-7
http://cds.cern.ch/record/624961
work_keys_str_mv AT fruhwirthr recentresultsonadaptivetrackandmultitrackfitting
AT strandliea recentresultsonadaptivetrackandmultitrackfitting
AT todorovt recentresultsonadaptivetrackandmultitrackfitting
AT winklerm recentresultsonadaptivetrackandmultitrackfitting

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