Overview of Machine Learning Applications at the Pierre Auger Observatory
Overview of Machine Learning Applications at the Pierre Auger Observatory
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Les Ulis: EDP Sciences
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Language
English
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Les Ulis: EDP Sciences
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Contents
The complex spatio-temporal information from shower footprints, comprised of particle arrival times and traces measured by water-Cherenkov detectors, is challenging to analyse with traditional methods but well-suited for machine learning (ML) based analyses. In this contribution, we provide an overview of the ML applications developed to leverage t...
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Overview of Machine Learning Applications at the Pierre Auger Observatory
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TN_cdi_doaj_primary_oai_doaj_org_article_b71b0c60b0c542b88e435f8873f0d18b
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b71b0c60b0c542b88e435f8873f0d18b
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ISSN
2100-014X,2101-6275
E-ISSN
2100-014X
DOI
10.1051/epjconf/202531913006
