Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloSummary report of the 3rd IAEA technical meeting on fusion data processing validation and analysis (FDPVA)
Anno di pubblicazione2020
  • Elettronico
  • Cartaceo
Autore/iMazon D.; De Vicente S.M.G.; Churchill M.; Dinklage A.; Fischer R.; Jakubowski M.; Murari A.; Romanelli M.; Vega J.; Verdoolaege G.; Xu M.
Affiliazioni autori1: CEA, IRFM, Saint-Paul-lez-Durance, France; 2: Department of Nuclear Sciences and Applications Vienna, International Atomic Energy Agency, Austria; 3: Princeton Plasma Physics Laboratory Princeton, NJ, United States; 4: Max Planck Institut fuer Plasmaphysik Greifswald, Germany; 5,6: Max Planck Institut fuer Plasmaphysik Garching, Germany; 7: Consorzio RFX (CNR, ENEA, INFN, Università di Padova, Acciaierie Venete SpA), Corso Stati Uniti 4 - 35127 Padova, Italy AND EUROfusion Programme Management Unit, Culham Science Centre Abingdon, United Kingdom; 8: UKAEA, Culham Science Centre Abingdon, United Kingdom; 9: CIEMAT, Madrid, Spain; 10: Ghent University, Department of Applied Physics Gent, Belgium; 11: Southwestern Institute of Physics Chengdu, Sichuan, China.
Autori CNR e affiliazioni
  • inglese
AbstractThe Third IAEA Technical Meeting on Fusion Data Processing, Validation and Analysis took place at the IAEA Headquarters in Vienna, Austria, from 28-31 May and brought together more than 60 scientists and engineers from 19 Member States, the European Commission and ITER Organisation working on data analysis and machine learning (ML) methods for the processing of fusion data, collected either from experimental diagnostics or from plasma simulations. 'Accurate data processing leads to a better understanding of the physics related to nuclear fusion research. It is essential for the careful estimate of the error bars of the raw measurements and processed data,' said D. Mazon (Chair, CEA, France) in his introductory talk and progress has been shown in this direction during the meeting. In particular the meeting discussed new developments in fusion R&D applications in the following areas: inversion techniques, such as tomography; magnetic topology reconstruction, such as equilibrium reconstructions; system identification; scaling laws determination and their accuracy for extrapolation from current machines to fusion reactors; model-based algorithms for control applications; identification of spurious and undesired events, such as disruptive phenomena or hot spots in infra-red images using sophisticated mathematical techniques like neural network and support vector machines. Discussions also focused on the potential use of these techniques for ITER, in particular, on their relevance to the first ITER plasma. The use of Integrated Modelling & Analysis Suite (IMAS) infrastructure - a convenient platform that allows implementation of different simulation codes in the same format - and synthetic diagnostics that could be coupled with this structure, in order to test the different mathematical approaches developed by the meeting participants, were explored in detail. Recent results and progress in the development of new tools will be discussed during the next meeting on the topic, scheduled in 2021.
Lingua abstractinglese
Altro abstract-
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Pagine da097002-1
Pagine a097002-10
Pagine totali10
RivistaNuclear fusion
Attiva dal 1960
Editore: International Atomic Energy Agency. - Wien
Lingua: inglese
ISSN: 0029-5515
Titolo chiave: Nuclear fusion
Titolo abbreviato: Nucl. fus.
Titoli alternativi:
  • Fusion nucleaire
  • Fusión nuclear
  • Âdernyj sintez
Numero volume della rivista60
Fascicolo della rivista9
Verificato da refereeSì: Internazionale
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)
  • Scopus (Codice:2-s2.0-85091224303)
  • ISI Web of Science (WOS) (Codice:000561582300001)
Parole chiaveintegrated data analysis, data validation, bayesian techniques, neural networks, machine learning, disruption predictors, image processing
Link (URL, URI)
Titolo parallelo-
Scadenza embargo-
Data di accettazione23/07/2020
Note/Altre informazioniElectronic ISSN: 1741-4326 - - This work has been partially carried out within the framework of the EUROfusion Consortium and has received funding from the Euratom research and training programme 2014-2018 and 2019-2020 under Grant Agreement No. 633053.
Strutture CNR
  • ISTP — Istituto per la Scienza e Tecnologia dei Plasmi
Moduli/Attività/Sottoprogetti CNR-
Progetti Europei
Summary report of the 3rd IAEA technical meeting on fusion dataprocessing validation and analysis (documento privato )
Descrizione: L'allegato contiene l'articolo così come pubblicato. / The Annex contains the Article as published.
Tipo documento: application/pdf