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Application of Novel Analysis Workflows in an ATLAS Search for Supersymmetry
The size of the ATLAS collaboration results in a broad and diverse analysis software landscape. Previous and ongoing harmonization efforts aim to reduce the computational and storage footprint of analyses and provide common concepts to discuss and develop analysis software within the collaboration....
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Lenguaje: | eng |
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2021
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Acceso en línea: | https://dx.doi.org/10.25926/6nfh-5242 http://cds.cern.ch/record/2778405 |
_version_ | 1780971746474590208 |
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author | Errenst, Martin |
author_facet | Errenst, Martin |
author_sort | Errenst, Martin |
collection | CERN |
description | The size of the ATLAS collaboration results in a broad and diverse analysis software landscape. Previous and ongoing harmonization efforts aim to reduce the computational and storage footprint of analyses and provide common concepts to discuss and develop analysis software within the collaboration. In this dissertation, the recently introduced $CP$ ($Combined$ $Performance$) algorithms are studied in the context of an ongoing search for R-parity violating Supersymmetry in the final state of 1+ or 2 samesign leptons and 4 to 15+ (b-)jets. A comparison between the reference implementation of the analysis and a new CP algorithm version allows for a detailed discussion of the configuration and computing performance. |
id | cern-2778405 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2021 |
record_format | invenio |
spelling | cern-27784052021-08-13T21:58:00Zdoi:10.25926/6nfh-5242http://cds.cern.ch/record/2778405engErrenst, MartinApplication of Novel Analysis Workflows in an ATLAS Search for SupersymmetryComputing and ComputersDetectors and Experimental TechniquesThe size of the ATLAS collaboration results in a broad and diverse analysis software landscape. Previous and ongoing harmonization efforts aim to reduce the computational and storage footprint of analyses and provide common concepts to discuss and develop analysis software within the collaboration. In this dissertation, the recently introduced $CP$ ($Combined$ $Performance$) algorithms are studied in the context of an ongoing search for R-parity violating Supersymmetry in the final state of 1+ or 2 samesign leptons and 4 to 15+ (b-)jets. A comparison between the reference implementation of the analysis and a new CP algorithm version allows for a detailed discussion of the configuration and computing performance.CERN-THESIS-2021-109oai:cds.cern.ch:27784052021-08-12T09:55:49Z |
spellingShingle | Computing and Computers Detectors and Experimental Techniques Errenst, Martin Application of Novel Analysis Workflows in an ATLAS Search for Supersymmetry |
title | Application of Novel Analysis Workflows in an ATLAS Search for Supersymmetry |
title_full | Application of Novel Analysis Workflows in an ATLAS Search for Supersymmetry |
title_fullStr | Application of Novel Analysis Workflows in an ATLAS Search for Supersymmetry |
title_full_unstemmed | Application of Novel Analysis Workflows in an ATLAS Search for Supersymmetry |
title_short | Application of Novel Analysis Workflows in an ATLAS Search for Supersymmetry |
title_sort | application of novel analysis workflows in an atlas search for supersymmetry |
topic | Computing and Computers Detectors and Experimental Techniques |
url | https://dx.doi.org/10.25926/6nfh-5242 http://cds.cern.ch/record/2778405 |
work_keys_str_mv | AT errenstmartin applicationofnovelanalysisworkflowsinanatlassearchforsupersymmetry |