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Proceeding Paper for HSTD11 Conference about Luminosity Measurement by Pixel-Cluster-Counting

The Insertable B-Layer (IBL) is the innermost layer of the ATLAS tracking system. It consists of planar pixel modules in the central region and 3D pixel modules at two extremities. We use the longitudinal cluster size distributions in 3D modules of the IBL to determine the number of pixel clusters p...

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Autor principal: Liu, Peilian
Lenguaje:eng
Publicado: 2018
Materias:
Acceso en línea:http://cds.cern.ch/record/2302627
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author Liu, Peilian
author_facet Liu, Peilian
author_sort Liu, Peilian
collection CERN
description The Insertable B-Layer (IBL) is the innermost layer of the ATLAS tracking system. It consists of planar pixel modules in the central region and 3D pixel modules at two extremities. We use the longitudinal cluster size distributions in 3D modules of the IBL to determine the number of pixel clusters produced by primary charged particles per event and suppress backgrounds. This Pixel Cluster Counting (PCC) algorithm provides a bunch-by-bunch luminosity measurement. An accurate luminosity measurement is a key component for precision measurements at the Large Hadron Collider (LHC) and one of the largest uncertainties on the luminosity determination in ATLAS arises from the long-term stability of the measurement technique. The comparison of the PCC algorithm with other existing algorithms provides key insights in assessing and reducing such uncertainty.
id cern-2302627
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2018
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spelling cern-23026272019-09-30T06:29:59Zhttp://cds.cern.ch/record/2302627engLiu, PeilianProceeding Paper for HSTD11 Conference about Luminosity Measurement by Pixel-Cluster-CountingParticle Physics - ExperimentThe Insertable B-Layer (IBL) is the innermost layer of the ATLAS tracking system. It consists of planar pixel modules in the central region and 3D pixel modules at two extremities. We use the longitudinal cluster size distributions in 3D modules of the IBL to determine the number of pixel clusters produced by primary charged particles per event and suppress backgrounds. This Pixel Cluster Counting (PCC) algorithm provides a bunch-by-bunch luminosity measurement. An accurate luminosity measurement is a key component for precision measurements at the Large Hadron Collider (LHC) and one of the largest uncertainties on the luminosity determination in ATLAS arises from the long-term stability of the measurement technique. The comparison of the PCC algorithm with other existing algorithms provides key insights in assessing and reducing such uncertainty.ATL-DAPR-PROC-2018-001oai:cds.cern.ch:23026272018-02-01
spellingShingle Particle Physics - Experiment
Liu, Peilian
Proceeding Paper for HSTD11 Conference about Luminosity Measurement by Pixel-Cluster-Counting
title Proceeding Paper for HSTD11 Conference about Luminosity Measurement by Pixel-Cluster-Counting
title_full Proceeding Paper for HSTD11 Conference about Luminosity Measurement by Pixel-Cluster-Counting
title_fullStr Proceeding Paper for HSTD11 Conference about Luminosity Measurement by Pixel-Cluster-Counting
title_full_unstemmed Proceeding Paper for HSTD11 Conference about Luminosity Measurement by Pixel-Cluster-Counting
title_short Proceeding Paper for HSTD11 Conference about Luminosity Measurement by Pixel-Cluster-Counting
title_sort proceeding paper for hstd11 conference about luminosity measurement by pixel-cluster-counting
topic Particle Physics - Experiment
url http://cds.cern.ch/record/2302627
work_keys_str_mv AT liupeilian proceedingpaperforhstd11conferenceaboutluminositymeasurementbypixelclustercounting