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A data driven method to measure electron charge mis-identification rate

Electron charge mis-measurement is an important challenge in analyses which depend on the charge of electron. To estimate the probability of {\it electron charge mis-measurement} a data driven method is introduced and a good agreement with MC based methods is achieved.\\ The third moment of $\phi...

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Autor principal: Bakhshiansohi, Hamed
Lenguaje:eng
Publicado: 2009
Materias:
Acceso en línea:http://cds.cern.ch/record/1358780
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author Bakhshiansohi, Hamed
author_facet Bakhshiansohi, Hamed
author_sort Bakhshiansohi, Hamed
collection CERN
description Electron charge mis-measurement is an important challenge in analyses which depend on the charge of electron. To estimate the probability of {\it electron charge mis-measurement} a data driven method is introduced and a good agreement with MC based methods is achieved.\\ The third moment of $\phi$ distribution of hits in electron SuperCluster is studied. The correlation between this variable and the electron charge is also investigated. Using this `new' variable and some other variables the electron charge measurement is improved by two different approaches.
id cern-1358780
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2009
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spelling cern-13587802019-09-30T06:29:59Zhttp://cds.cern.ch/record/1358780engBakhshiansohi, HamedA data driven method to measure electron charge mis-identification rateDetectors and Experimental TechniquesElectron charge mis-measurement is an important challenge in analyses which depend on the charge of electron. To estimate the probability of {\it electron charge mis-measurement} a data driven method is introduced and a good agreement with MC based methods is achieved.\\ The third moment of $\phi$ distribution of hits in electron SuperCluster is studied. The correlation between this variable and the electron charge is also investigated. Using this `new' variable and some other variables the electron charge measurement is improved by two different approaches.CMS-CR-2009-274oai:cds.cern.ch:13587802009-09-11
spellingShingle Detectors and Experimental Techniques
Bakhshiansohi, Hamed
A data driven method to measure electron charge mis-identification rate
title A data driven method to measure electron charge mis-identification rate
title_full A data driven method to measure electron charge mis-identification rate
title_fullStr A data driven method to measure electron charge mis-identification rate
title_full_unstemmed A data driven method to measure electron charge mis-identification rate
title_short A data driven method to measure electron charge mis-identification rate
title_sort data driven method to measure electron charge mis-identification rate
topic Detectors and Experimental Techniques
url http://cds.cern.ch/record/1358780
work_keys_str_mv AT bakhshiansohihamed adatadrivenmethodtomeasureelectronchargemisidentificationrate
AT bakhshiansohihamed datadrivenmethodtomeasureelectronchargemisidentificationrate