Estimation of Alignment Parameters, using the Kalman Filter with annealing

Detector alignment is an essential step in the track reconstruction and analysis process. Alignment with tracks is one possible strategy to estimate positions and orientations of components of a track detector. We present a method for the estimation of alignment constants during track reconstruction...

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Detalles Bibliográficos
Autores principales: Frühwirth, R, Todorov, Teddy, Winkler, Matthias
Lenguaje:eng
Publicado: 2002
Materias:
Detectors and Experimental Techniques
Acceso en línea:http://cds.cern.ch/record/687402
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author Frühwirth, R
Todorov, Teddy
Winkler, Matthias
author_facet Frühwirth, R
Todorov, Teddy
Winkler, Matthias
author_sort Frühwirth, R
collection CERN
description Detector alignment is an essential step in the track reconstruction and analysis process. Alignment with tracks is one possible strategy to estimate positions and orientations of components of a track detector. We present a method for the estimation of alignment constants during track reconstruction, in parallel with the usual track parameters. The formalism is related to the standard Kalman Filter and uses annealing in order to avoid suboptimal solutions. The algorithm has been implemented in the Object oriented Reconstruction for Cms Analysis (ORCA) framework and has been tested with a simulated test-beam like setup for silicon detectors.
id cern-687402
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2002
record_format invenio
spelling cern-6874022019-09-30T06:29:59Zhttp://cds.cern.ch/record/687402engFrühwirth, RTodorov, TeddyWinkler, MatthiasEstimation of Alignment Parameters, using the Kalman Filter with annealingDetectors and Experimental TechniquesDetector alignment is an essential step in the track reconstruction and analysis process. Alignment with tracks is one possible strategy to estimate positions and orientations of components of a track detector. We present a method for the estimation of alignment constants during track reconstruction, in parallel with the usual track parameters. The formalism is related to the standard Kalman Filter and uses annealing in order to avoid suboptimal solutions. The algorithm has been implemented in the Object oriented Reconstruction for Cms Analysis (ORCA) framework and has been tested with a simulated test-beam like setup for silicon detectors.CMS-NOTE-2002-008oai:cds.cern.ch:6874022002-03-01
spellingShingle Detectors and Experimental Techniques
Frühwirth, R
Todorov, Teddy
Winkler, Matthias
Estimation of Alignment Parameters, using the Kalman Filter with annealing
title Estimation of Alignment Parameters, using the Kalman Filter with annealing
title_full Estimation of Alignment Parameters, using the Kalman Filter with annealing
title_fullStr Estimation of Alignment Parameters, using the Kalman Filter with annealing
title_full_unstemmed Estimation of Alignment Parameters, using the Kalman Filter with annealing
title_short Estimation of Alignment Parameters, using the Kalman Filter with annealing
title_sort estimation of alignment parameters, using the kalman filter with annealing
topic Detectors and Experimental Techniques
url http://cds.cern.ch/record/687402
work_keys_str_mv AT fruhwirthr estimationofalignmentparametersusingthekalmanfilterwithannealing
AT todorovteddy estimationofalignmentparametersusingthekalmanfilterwithannealing
AT winklermatthias estimationofalignmentparametersusingthekalmanfilterwithannealing

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