Optimized differential energy loss estimation for tracker detectors

The estimation of differential energy loss for charged particles in tracker detectors is studied. The robust truncated mean method can be generalized to the linear combination of the energy deposit measurements. The optimized weights in case of arithmetic and geometric means are obtained using a det...

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Detalles Bibliográficos
Autores principales: Sikler, Ferenc, Szeles, Sandor
Lenguaje:eng
Publicado: 2011
Materias:
Other Fields of Physics
Acceso en línea:https://dx.doi.org/10.1016/j.nima.2012.05.090
http://cds.cern.ch/record/1398091
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author Sikler, Ferenc
Szeles, Sandor
author_facet Sikler, Ferenc
Szeles, Sandor
author_sort Sikler, Ferenc
collection CERN
description The estimation of differential energy loss for charged particles in tracker detectors is studied. The robust truncated mean method can be generalized to the linear combination of the energy deposit measurements. The optimized weights in case of arithmetic and geometric means are obtained using a detailed simulation. The results show better particle separation power for both semiconductor and gaseous detectors.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2011
record_format invenio
spelling cern-13980912023-03-14T20:54:16Zdoi:10.1016/j.nima.2012.05.090http://cds.cern.ch/record/1398091engSikler, FerencSzeles, SandorOptimized differential energy loss estimation for tracker detectorsOther Fields of PhysicsThe estimation of differential energy loss for charged particles in tracker detectors is studied. The robust truncated mean method can be generalized to the linear combination of the energy deposit measurements. The optimized weights in case of arithmetic and geometric means are obtained using a detailed simulation. The results show better particle separation power for both semiconductor and gaseous detectors.The estimation of energy loss rate dE/dx for charged particles in tracking detectors using energy deposit measurements is studied. The truncated mean method is generalized to the weighted mean of the measurements. The weights are optimized for better particle separation in the energy loss rate variable, for arithmetic and geometric means, using a detailed simulation. The obtained weights are rather independent of particle momentum and track segment length. Their values are connected to the form of the corresponding energy deposit distribution, allowing for a simple universal description as a function of the number of measured track segments. While for semiconductor detectors the weighted mean estimator may be further improved with maximum likelihood methods, for gaseous detectors the (0%,55%) truncation already gives excellent results.The estimation of differential energy loss for charged particles in tracker detectors is studied. The robust truncated mean method can be generalized to the linear combination of the energy deposit measurements. The optimized weights in case of arithmetic and geometric means are obtained using a detailed simulation. The results show better particle separation power for both semiconductor and gaseous detectors.arXiv:1111.2491oai:cds.cern.ch:13980912011-11-11
spellingShingle Other Fields of Physics
Sikler, Ferenc
Szeles, Sandor
Optimized differential energy loss estimation for tracker detectors
title Optimized differential energy loss estimation for tracker detectors
title_full Optimized differential energy loss estimation for tracker detectors
title_fullStr Optimized differential energy loss estimation for tracker detectors
title_full_unstemmed Optimized differential energy loss estimation for tracker detectors
title_short Optimized differential energy loss estimation for tracker detectors
title_sort optimized differential energy loss estimation for tracker detectors
topic Other Fields of Physics
url https://dx.doi.org/10.1016/j.nima.2012.05.090
http://cds.cern.ch/record/1398091
work_keys_str_mv AT siklerferenc optimizeddifferentialenergylossestimationfortrackerdetectors
AT szelessandor optimizeddifferentialenergylossestimationfortrackerdetectors

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