New developments in vertex reconstruction for CMS
Presently, two kinds of least-squares (LS) vertex fits are implemented in the ORCA reconstruction program (http://cmsdoc.cern.ch /orca) of the CMS experiment (http://cmsinfo.cern.ch): a full Kalman filter, and an iterative fit working with the impact points of the tracks with respect to an expansion...
Published in: | Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment |
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Online Access: | https://doi.org/10.1016/S0168-9002(03)00548-5 http://cds.cern.ch/record/624962 |
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ftcern:oai:cds.cern.ch:624962 2024-09-15T18:28:48+00:00 New developments in vertex reconstruction for CMS Frühwirth, R Prokofiev, K Speer, T Vanlaer, P Waltenberger, W 2003 https://doi.org/10.1016/S0168-9002(03)00548-5 http://cds.cern.ch/record/624962 eng eng doi:10.1016/S0168-9002(03)00548-5 http://cds.cern.ch/record/624962 oai:cds.cern.ch:624962 Detectors and Experimental Techniques 2003 ftcern https://doi.org/10.1016/S0168-9002(03)00548-5 2024-07-22T13:49:44Z Presently, two kinds of least-squares (LS) vertex fits are implemented in the ORCA reconstruction program (http://cmsdoc.cern.ch /orca) of the CMS experiment (http://cmsinfo.cern.ch): a full Kalman filter, and an iterative fit working with the impact points of the tracks with respect to an expansion point. In this contribution we concentrate on nonlinear, robust estimators which are insensitive to outlying observations. The aim is to improve the recognition of outliers, to lower the bias in the final fit, and to achieve a better separation between primary vertices and secondary vertices. Robust vertex estimates should also be good starting points for more complex algorithms, such as a multivertex fit. Other/Unknown Material Orca CERN Document Server (CDS) Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 502 2-3 699 701 |
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CERN Document Server (CDS) |
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English |
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Detectors and Experimental Techniques |
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Detectors and Experimental Techniques Frühwirth, R Prokofiev, K Speer, T Vanlaer, P Waltenberger, W New developments in vertex reconstruction for CMS |
topic_facet |
Detectors and Experimental Techniques |
description |
Presently, two kinds of least-squares (LS) vertex fits are implemented in the ORCA reconstruction program (http://cmsdoc.cern.ch /orca) of the CMS experiment (http://cmsinfo.cern.ch): a full Kalman filter, and an iterative fit working with the impact points of the tracks with respect to an expansion point. In this contribution we concentrate on nonlinear, robust estimators which are insensitive to outlying observations. The aim is to improve the recognition of outliers, to lower the bias in the final fit, and to achieve a better separation between primary vertices and secondary vertices. Robust vertex estimates should also be good starting points for more complex algorithms, such as a multivertex fit. |
author |
Frühwirth, R Prokofiev, K Speer, T Vanlaer, P Waltenberger, W |
author_facet |
Frühwirth, R Prokofiev, K Speer, T Vanlaer, P Waltenberger, W |
author_sort |
Frühwirth, R |
title |
New developments in vertex reconstruction for CMS |
title_short |
New developments in vertex reconstruction for CMS |
title_full |
New developments in vertex reconstruction for CMS |
title_fullStr |
New developments in vertex reconstruction for CMS |
title_full_unstemmed |
New developments in vertex reconstruction for CMS |
title_sort |
new developments in vertex reconstruction for cms |
publishDate |
2003 |
url |
https://doi.org/10.1016/S0168-9002(03)00548-5 http://cds.cern.ch/record/624962 |
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Orca |
genre_facet |
Orca |
op_relation |
doi:10.1016/S0168-9002(03)00548-5 http://cds.cern.ch/record/624962 oai:cds.cern.ch:624962 |
op_doi |
https://doi.org/10.1016/S0168-9002(03)00548-5 |
container_title |
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment |
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502 |
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2-3 |
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699 |
op_container_end_page |
701 |
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1810470243858907136 |