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Neural network classification of eigenmodes in the magnetohydrodynamic spectroscopy code Legolas
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dc.contributor.author | De Jonghe, J. | |
dc.contributor.author | Kuczyński, M. D. | |
dc.date.accessioned | 2024-02-28T15:30:06Z | |
dc.date.available | 2024-02-28T15:30:06Z | |
dc.date.issued | 2024-04 | |
dc.identifier | 299619985 | |
dc.identifier | 59425383-288b-4496-980b-ae626ab640e8 | |
dc.identifier | 85182464024 | |
dc.identifier.citation | De Jonghe , J & Kuczyński , M D 2024 , ' Neural network classification of eigenmodes in the magnetohydrodynamic spectroscopy code Legolas ' , Neural Computing and Applications , vol. 36 , pp. 5955–5964 . https://doi.org/10.1007/s00521-023-09403-1 | en |
dc.identifier.issn | 1433-3058 | |
dc.identifier.other | RIS: urn:8A1FACACD07FE3570CB0281E5160C79B | |
dc.identifier.other | RIS: De Jonghe2024 | |
dc.identifier.other | ORCID: /0000-0003-2443-3903/work/154531965 | |
dc.identifier.uri | https://hdl.handle.net/10023/29371 | |
dc.description | JDJ was supported by funding from the European Research Council (ERC) under the European Unions Horizon 2020 research and innovation programme, Grant agreement No. 833251 PROMINENT ERC-ADG 2018. | en |
dc.description.abstract | A neural network is employed to address a non-binary classification problem of plasma instabilities in astrophysical jets, calculated with the Legolas code. The trained models exhibit reliable performance in the identification of the two instability types supported by these jets. We also discuss the generation of artificial data and refinement of predictions in general eigenfunction classification problems. | |
dc.format.extent | 10 | |
dc.format.extent | 1078464 | |
dc.language.iso | eng | |
dc.relation.ispartof | Neural Computing and Applications | en |
dc.subject | Magnetohydrodynamics | en |
dc.subject | Eigenproblem | en |
dc.subject | Neural network | en |
dc.subject | Supervised learning | en |
dc.subject | Classification | en |
dc.subject | DAS | en |
dc.title | Neural network classification of eigenmodes in the magnetohydrodynamic spectroscopy code Legolas | en |
dc.type | Journal article | en |
dc.contributor.institution | University of St Andrews. Applied Mathematics | en |
dc.identifier.doi | https://doi.org/10.1007/s00521-023-09403-1 | |
dc.description.status | Peer reviewed | en |
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