Cargando…

Exploring New Clustering Algorithms for the CMS Tracker FED

In the current Front End (FE) firmware clusters of hits within the APV frames are found using a simple threshold comparison (which is made between the data and a 3 or 5 sigma strip noise cut) on reordered pedestal and Common Mode (CM) noise subtracted data. In addition the CM noise subtraction requi...

Descripción completa

Detalles Bibliográficos
Autor principal: Gamboa Alvarado, Jose Leandro
Lenguaje:eng
Publicado: 2013
Materias:
Acceso en línea:http://cds.cern.ch/record/1570399
_version_ 1780931025653727232
author Gamboa Alvarado, Jose Leandro
author_facet Gamboa Alvarado, Jose Leandro
author_sort Gamboa Alvarado, Jose Leandro
collection CERN
description In the current Front End (FE) firmware clusters of hits within the APV frames are found using a simple threshold comparison (which is made between the data and a 3 or 5 sigma strip noise cut) on reordered pedestal and Common Mode (CM) noise subtracted data. In addition the CM noise subtraction requires the baseline of each APV frame to be approximately uniform. Therefore, the current algorithm will fail if the APV baseline exhibits large-scale non-uniform behavior. Under very high luminosity conditions the assumption of a uniform APV baseline breaks down and the FED is unable to maintain a high efficiency of cluster finding. \nFor the reasons mentioned above a new algorithm is necessary because under high luminosity p-p or ion-ion collision conditions the APV baseline has been shown to exhibit non-uniform behavior.
id cern-1570399
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2013
record_format invenio
spelling cern-15703992019-09-30T06:29:59Zhttp://cds.cern.ch/record/1570399engGamboa Alvarado, Jose LeandroExploring New Clustering Algorithms for the CMS Tracker FEDEngineeringIn the current Front End (FE) firmware clusters of hits within the APV frames are found using a simple threshold comparison (which is made between the data and a 3 or 5 sigma strip noise cut) on reordered pedestal and Common Mode (CM) noise subtracted data. In addition the CM noise subtraction requires the baseline of each APV frame to be approximately uniform. Therefore, the current algorithm will fail if the APV baseline exhibits large-scale non-uniform behavior. Under very high luminosity conditions the assumption of a uniform APV baseline breaks down and the FED is unable to maintain a high efficiency of cluster finding. \nFor the reasons mentioned above a new algorithm is necessary because under high luminosity p-p or ion-ion collision conditions the APV baseline has been shown to exhibit non-uniform behavior.CERN-STUDENTS-Note-2013-019oai:cds.cern.ch:15703992013-08-09
spellingShingle Engineering
Gamboa Alvarado, Jose Leandro
Exploring New Clustering Algorithms for the CMS Tracker FED
title Exploring New Clustering Algorithms for the CMS Tracker FED
title_full Exploring New Clustering Algorithms for the CMS Tracker FED
title_fullStr Exploring New Clustering Algorithms for the CMS Tracker FED
title_full_unstemmed Exploring New Clustering Algorithms for the CMS Tracker FED
title_short Exploring New Clustering Algorithms for the CMS Tracker FED
title_sort exploring new clustering algorithms for the cms tracker fed
topic Engineering
url http://cds.cern.ch/record/1570399
work_keys_str_mv AT gamboaalvaradojoseleandro exploringnewclusteringalgorithmsforthecmstrackerfed