Enhancing the rationale of convolutional neural networks for glitch classification in gravitational...
Enhancing the rationale of convolutional neural networks for glitch classification in gravitational wave detectors: a visual explanation
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Bristol: IOP Publishing
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English
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Bristol: IOP Publishing
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In the pursuit of detecting gravitational waves, ground-based interferometers (e.g. LIGO, Virgo, and KAGRA) face a significant challenge: achieving the extremely high sensitivity required to detect fluctuations at distances significantly smaller than the diameter of an atomic nucleus. Cutting-edge materials and innovative engineering techniques hav...
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Enhancing the rationale of convolutional neural networks for glitch classification in gravitational wave detectors: a visual explanation
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TN_cdi_doaj_primary_oai_doaj_org_article_f3ef45a71aec48dfa901d29bdd478845
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f3ef45a71aec48dfa901d29bdd478845
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ISSN
2632-2153
E-ISSN
2632-2153
DOI
10.1088/2632-2153/ad6391
