disruptions
Showing 1–10 of 15 results
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Detection of MARFEs using visible cameras for disruption prevention
Spolladore L.; Rossi R.; Wyss I.; Gaudio P.; Murari A.; Gelfusa M. -
Comparison of a fast low spatial resolution inversion method and peaking factors for the detection of anomalous radiation patterns and disruption prediction
Wyss I.; Murari A.; Spolladore L.; Peluso E.; Gelfusa M.; Gaudio P.; Rossi R. -
Characterization of physics events in JET preceding disruptions
Ratta G.A.; Vega J.; Murari A.; Gadariya D.; Stuart C.; Farias G. -
Performance analysis of the centroid method predictor implemented in the JET real time network
Gadariya D.; Vega J.; Stuart C.; Ratta G.; Card P.; Murari A.; Dormido-Canto S. -
Overview of the COMPASS results *
Hron, M.; Adamek, J.; Cavalier, J.; Dejarnac, R.; Ficker, O.; Grover, O.; Horacek, J.; Komm, M.; Macusova, E.; Matveeva, E.; Panek, R.; Peterka, M.; Seidl, J.; Tskhakaya, D.; Yanovskiy, V.; Artola, F. J.; Atikukke, S.; Barton, P.; Bencze, A.; Berta, [ Et al. ] -
Frontiers in data analysis methods: from causality detection to data driven experimental design
Murari, A.; Peluso, E.; Craciunescu, T.; Dormido-Canto, S.; Lungaroni, M.; Rossi, R.; Spolladore, L.; Vega, J.; Gelfusa, M. -
PHAD: a phase-oriented disruption prediction strategy for avoidance, prevention, and mitigation in JET
Ratta G.A.; Vega J.; Murari A.; Gadariya D.; JET contributors -
The JOREK non-linear extended MHD code and applications to large-scale instabilities and their control in magnetically confined fusion plasmas
Hoelzl M.; Huijsmans G.T.A.; Pamela S.J.P.; Becoulet M.; Nardon E.; Artola F.J.; Nkonga B.; Atanasiu C.V.; Bandaru V.; Bhole A.; Bonfiglio D.; Cathey A.; Czarny O.; Dvornova A.; Feher T.; Fil A.; Franck E.; Futatani S.; Gruca; Guillard H.; Haverkort [ Et al. ] -
A maximum likelihood tomographic method applied to JET gamma ray emission during the current quench
Gelfusa M.; Craciunescu T.; Peluso E.; Giacomelli L.; Kiptily V.; Reux C.; Szepesi G.; Murari A.; JET Contributors -
Stacking of predictors for the automatic classification of disruption types to optimize the control logic
Murari, A.; Rossi, R.; Lungaroni, M.; Baruzzo, M.; Gelfusa, M.
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