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ATLAS Open Data: Data visualisation and educational physics analysis to re-discover the Higgs

Modern particle physics analysis is carried out using sophisticated programming and coding. How, therefore, can we genuinely introduce students to experimental particle physics analysis without an initial exposure to the coding behind? The answer from ATLAS Open Data is to build tools for interactiv...

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Autores principales: Evans, Meirin Oan, Sanchez Pineda, Arturo Rodolfo, Serkin, Leonid
Lenguaje:eng
Publicado: 2020
Materias:
Acceso en línea:http://cds.cern.ch/record/2719551
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author Evans, Meirin Oan
Sanchez Pineda, Arturo Rodolfo
Serkin, Leonid
author_facet Evans, Meirin Oan
Sanchez Pineda, Arturo Rodolfo
Serkin, Leonid
author_sort Evans, Meirin Oan
collection CERN
description Modern particle physics analysis is carried out using sophisticated programming and coding. How, therefore, can we genuinely introduce students to experimental particle physics analysis without an initial exposure to the coding behind? The answer from ATLAS Open Data is to build tools for interactive data visualisation. Web-based resources such as the “Histogram Analyser”, “ATLAS detector visualisation”, “Interactive physics paper” and “Analysis Browser” are easy to use, but still very powerful. Students already intrigued by the physics can then build up to a coding analysis by running Jupyter notebooks out-of-the-box. Such notebooks invite them to read some short pieces of code, but without asking them to write any, just yet. With the use of these tools and documentation, students can be guided to find the Higgs boson with only their mouse!
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2020
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spelling cern-27195512020-06-02T18:47:21Zhttp://cds.cern.ch/record/2719551engEvans, Meirin OanSanchez Pineda, Arturo RodolfoSerkin, LeonidATLAS Open Data: Data visualisation and educational physics analysis to re-discover the HiggsParticle Physics - ExperimentModern particle physics analysis is carried out using sophisticated programming and coding. How, therefore, can we genuinely introduce students to experimental particle physics analysis without an initial exposure to the coding behind? The answer from ATLAS Open Data is to build tools for interactive data visualisation. Web-based resources such as the “Histogram Analyser”, “ATLAS detector visualisation”, “Interactive physics paper” and “Analysis Browser” are easy to use, but still very powerful. Students already intrigued by the physics can then build up to a coding analysis by running Jupyter notebooks out-of-the-box. Such notebooks invite them to read some short pieces of code, but without asking them to write any, just yet. With the use of these tools and documentation, students can be guided to find the Higgs boson with only their mouse!ATL-OREACH-SLIDE-2020-138oai:cds.cern.ch:27195512020-06-02
spellingShingle Particle Physics - Experiment
Evans, Meirin Oan
Sanchez Pineda, Arturo Rodolfo
Serkin, Leonid
ATLAS Open Data: Data visualisation and educational physics analysis to re-discover the Higgs
title ATLAS Open Data: Data visualisation and educational physics analysis to re-discover the Higgs
title_full ATLAS Open Data: Data visualisation and educational physics analysis to re-discover the Higgs
title_fullStr ATLAS Open Data: Data visualisation and educational physics analysis to re-discover the Higgs
title_full_unstemmed ATLAS Open Data: Data visualisation and educational physics analysis to re-discover the Higgs
title_short ATLAS Open Data: Data visualisation and educational physics analysis to re-discover the Higgs
title_sort atlas open data: data visualisation and educational physics analysis to re-discover the higgs
topic Particle Physics - Experiment
url http://cds.cern.ch/record/2719551
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AT sanchezpinedaarturorodolfo atlasopendatadatavisualisationandeducationalphysicsanalysistorediscoverthehiggs
AT serkinleonid atlasopendatadatavisualisationandeducationalphysicsanalysistorediscoverthehiggs