A Kalman Filter for Track-based Alignment
An iterative method for track-based global alignment is proposed. It is derived from the Kalman filter and is designed to avoid the inversion of large matrices. The update formulas for the alignment parameters and for the associated covariance matrix are described. The implementation and the computa...
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ftcern:oai:cds.cern.ch:927376 2024-09-15T18:28:54+00:00 A Kalman Filter for Track-based Alignment Widl, Edmund Frühwirth, R Adam, Wolfgang 2006-01-30 http://cds.cern.ch/record/927376 eng eng http://cds.cern.ch/record/927376 CMS-NOTE-2006-022 oai:cds.cern.ch:927376 Detectors and Experimental Techniques 2006 ftcern 2024-07-22T14:04:50Z An iterative method for track-based global alignment is proposed. It is derived from the Kalman filter and is designed to avoid the inversion of large matrices. The update formulas for the alignment parameters and for the associated covariance matrix are described. The implementation and the computational complexity is discussed, and it is shown how to limit the latter to an acceptable level by restricting the update to detectors that are close in the sense of a certain metrics. The performance of the Kalman filter with respect to precision and speed of convergence is studied in a simplified setup. First results from an implementation in the CMS reconstruction program ORCA are presented, using two sections of the barrel part of the CMS Tracker. Other/Unknown Material Orca CERN Document Server (CDS) |
institution |
Open Polar |
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CERN Document Server (CDS) |
op_collection_id |
ftcern |
language |
English |
topic |
Detectors and Experimental Techniques |
spellingShingle |
Detectors and Experimental Techniques Widl, Edmund Frühwirth, R Adam, Wolfgang A Kalman Filter for Track-based Alignment |
topic_facet |
Detectors and Experimental Techniques |
description |
An iterative method for track-based global alignment is proposed. It is derived from the Kalman filter and is designed to avoid the inversion of large matrices. The update formulas for the alignment parameters and for the associated covariance matrix are described. The implementation and the computational complexity is discussed, and it is shown how to limit the latter to an acceptable level by restricting the update to detectors that are close in the sense of a certain metrics. The performance of the Kalman filter with respect to precision and speed of convergence is studied in a simplified setup. First results from an implementation in the CMS reconstruction program ORCA are presented, using two sections of the barrel part of the CMS Tracker. |
author |
Widl, Edmund Frühwirth, R Adam, Wolfgang |
author_facet |
Widl, Edmund Frühwirth, R Adam, Wolfgang |
author_sort |
Widl, Edmund |
title |
A Kalman Filter for Track-based Alignment |
title_short |
A Kalman Filter for Track-based Alignment |
title_full |
A Kalman Filter for Track-based Alignment |
title_fullStr |
A Kalman Filter for Track-based Alignment |
title_full_unstemmed |
A Kalman Filter for Track-based Alignment |
title_sort |
kalman filter for track-based alignment |
publishDate |
2006 |
url |
http://cds.cern.ch/record/927376 |
genre |
Orca |
genre_facet |
Orca |
op_relation |
http://cds.cern.ch/record/927376 CMS-NOTE-2006-022 oai:cds.cern.ch:927376 |
_version_ |
1810470327660052480 |