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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Bibliographic Details
Main Authors: Frühwirth, R, Todorov, Teddy, Winkler, Matthias
Language:English
Published: 2002
Subjects:
Detectors and Experimental Techniques
Orca
Online Access:http://cds.cern.ch/record/687402
id ftcern:oai:cds.cern.ch:687402
record_format openpolar
spelling ftcern:oai:cds.cern.ch:687402 2024-09-15T18:28:53+00:00 Estimation of Alignment Parameters, using the Kalman Filter with annealing Frühwirth, R Todorov, Teddy Winkler, Matthias 2002-03-01 http://cds.cern.ch/record/687402 eng eng http://cds.cern.ch/record/687402 CMS-NOTE-2002-008 oai:cds.cern.ch:687402 Detectors and Experimental Techniques 2002 ftcern 2024-07-22T13:51:52Z 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. Other/Unknown Material Orca CERN Document Server (CDS)
institution Open Polar
collection CERN Document Server (CDS)
op_collection_id ftcern
language English
topic Detectors and Experimental Techniques
spellingShingle Detectors and Experimental Techniques
Frühwirth, R
Todorov, Teddy
Winkler, Matthias
Estimation of Alignment Parameters, using the Kalman Filter with annealing
topic_facet Detectors and Experimental Techniques
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.
author Frühwirth, R
Todorov, Teddy
Winkler, Matthias
author_facet Frühwirth, R
Todorov, Teddy
Winkler, Matthias
author_sort Frühwirth, R
title Estimation of Alignment Parameters, using the Kalman Filter with annealing
title_short 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_sort estimation of alignment parameters, using the kalman filter with annealing
publishDate 2002
url http://cds.cern.ch/record/687402
genre Orca
genre_facet Orca
op_relation http://cds.cern.ch/record/687402
CMS-NOTE-2002-008
oai:cds.cern.ch:687402
_version_ 1810470314833870848

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