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Tracking in dense environments and its inefficiency measurement using pixel $dE/dx$
We present a measurement of the charged particle reconstruction inefficiency inside of jet cores, using data collected by the ATLAS experiment in 2015 of pp collisions produced at the LHC, at a center-of-mass energy of 13 TeV . The determination of this inefficiency is important for jet energy scale...
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Lenguaje: | eng |
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2016
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Acceso en línea: | https://dx.doi.org/10.1088/1748-0221/11/12/C12041 http://cds.cern.ch/record/2226563 |
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author | Mansour, Jason Dhia |
author_facet | Mansour, Jason Dhia |
author_sort | Mansour, Jason Dhia |
collection | CERN |
description | We present a measurement of the charged particle reconstruction inefficiency inside of jet cores, using data collected by the ATLAS experiment in 2015 of pp collisions produced at the LHC, at a center-of-mass energy of 13 TeV . The determination of this inefficiency is important for jet energy scale and mass calibration, as well as multiple other performance studies and analyses. A data driven method is used, where the fraction of lost particle tracks is determined from energy deposition dE/dx in the pixel detector. The fraction of lost tracks is found to be less than 5%, which is an improvement since the previous study, and agrees well within systematic uncertainties with a Monte Carlo simulation. |
id | cern-2226563 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2016 |
record_format | invenio |
spelling | cern-22265632019-09-30T06:29:59Zdoi:10.1088/1748-0221/11/12/C12041http://cds.cern.ch/record/2226563engMansour, Jason DhiaTracking in dense environments and its inefficiency measurement using pixel $dE/dx$Particle Physics - Experimenthep-exWe present a measurement of the charged particle reconstruction inefficiency inside of jet cores, using data collected by the ATLAS experiment in 2015 of pp collisions produced at the LHC, at a center-of-mass energy of 13 TeV . The determination of this inefficiency is important for jet energy scale and mass calibration, as well as multiple other performance studies and analyses. A data driven method is used, where the fraction of lost particle tracks is determined from energy deposition dE/dx in the pixel detector. The fraction of lost tracks is found to be less than 5%, which is an improvement since the previous study, and agrees well within systematic uncertainties with a Monte Carlo simulation.We present a measurement of the charged particle reconstruction inefficiency inside of jet cores, using data collected by the ATLAS experiment in 2015 of $pp$ collisions produced at the LHC, at a center-of-mass energy of 13 TeV. The determination of this inefficiency is important for jet energy scale and mass calibration, as well as multiple other performance studies and analyses. A data driven method is used, where the fraction of lost particle tracks is determined from energy deposition $dE/dx$ in the pixel detector. The fraction of lost tracks is found to be less than 5%, which is an improvement since the previous study, and agrees well within systematic uncertainties with a Monte Carlo simulation.ATL-INDET-PROC-2016-006arXiv:1610.08709oai:cds.cern.ch:22265632016-10-21 |
spellingShingle | Particle Physics - Experiment hep-ex Mansour, Jason Dhia Tracking in dense environments and its inefficiency measurement using pixel $dE/dx$ |
title | Tracking in dense environments and its inefficiency measurement using pixel $dE/dx$ |
title_full | Tracking in dense environments and its inefficiency measurement using pixel $dE/dx$ |
title_fullStr | Tracking in dense environments and its inefficiency measurement using pixel $dE/dx$ |
title_full_unstemmed | Tracking in dense environments and its inefficiency measurement using pixel $dE/dx$ |
title_short | Tracking in dense environments and its inefficiency measurement using pixel $dE/dx$ |
title_sort | tracking in dense environments and its inefficiency measurement using pixel $de/dx$ |
topic | Particle Physics - Experiment hep-ex |
url | https://dx.doi.org/10.1088/1748-0221/11/12/C12041 http://cds.cern.ch/record/2226563 |
work_keys_str_mv | AT mansourjasondhia trackingindenseenvironmentsanditsinefficiencymeasurementusingpixeldedx |