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HiggsHunters - a citizen science project for ATLAS

Since the launch of HiggsHunters.org in November 2014, citizen science volunteers have classified more than a million points of interest in images from the ATLAS experiment at the LHC. Volunteers have been looking for displaced vertices and unusual features in images recorded during LHC Run-1. We di...

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Autor principal: Haas, Andrew
Lenguaje:eng
Publicado: 2017
Materias:
Acceso en línea:https://dx.doi.org/10.1088/1742-6596/898/10/102002
http://cds.cern.ch/record/2243138
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author Haas, Andrew
author_facet Haas, Andrew
author_sort Haas, Andrew
collection CERN
description Since the launch of HiggsHunters.org in November 2014, citizen science volunteers have classified more than a million points of interest in images from the ATLAS experiment at the LHC. Volunteers have been looking for displaced vertices and unusual features in images recorded during LHC Run-1. We discuss the design of the project, its impact on the public, and the results of how the human volunteers performed relative to the computer algorithms in identifying displaced secondary vertices. People were better than existing algorithms at identifying displaced vertices for some masses and lifetimes, and showed good ability to recognize unexpected new features in the data.
id cern-2243138
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2017
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spelling cern-22431382019-10-15T15:17:23Zdoi:10.1088/1742-6596/898/10/102002http://cds.cern.ch/record/2243138engHaas, AndrewHiggsHunters - a citizen science project for ATLASParticle Physics - ExperimentSince the launch of HiggsHunters.org in November 2014, citizen science volunteers have classified more than a million points of interest in images from the ATLAS experiment at the LHC. Volunteers have been looking for displaced vertices and unusual features in images recorded during LHC Run-1. We discuss the design of the project, its impact on the public, and the results of how the human volunteers performed relative to the computer algorithms in identifying displaced secondary vertices. People were better than existing algorithms at identifying displaced vertices for some masses and lifetimes, and showed good ability to recognize unexpected new features in the data.ATL-SOFT-PROC-2017-028oai:cds.cern.ch:22431382017-01-27
spellingShingle Particle Physics - Experiment
Haas, Andrew
HiggsHunters - a citizen science project for ATLAS
title HiggsHunters - a citizen science project for ATLAS
title_full HiggsHunters - a citizen science project for ATLAS
title_fullStr HiggsHunters - a citizen science project for ATLAS
title_full_unstemmed HiggsHunters - a citizen science project for ATLAS
title_short HiggsHunters - a citizen science project for ATLAS
title_sort higgshunters - a citizen science project for atlas
topic Particle Physics - Experiment
url https://dx.doi.org/10.1088/1742-6596/898/10/102002
http://cds.cern.ch/record/2243138
work_keys_str_mv AT haasandrew higgshuntersacitizenscienceprojectforatlas