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Numerical assessment of a novel technique for the reconstruction of 3D magnetic fields in tokamaks
Raffaele Albanese, Massimiliano de Magistris, Vincenzo Paolo Loschiavo and Simone Minucci International Journal of Applied Electromagnetics and Mechanics 56 73 (2018) https://doi.org/10.3233/JAE-172284
A Fast Reconstruction Approach for the Assessment of Magnetic Diagnostic Systems in Nuclear Fusion Devices
Improvement of 2D plasma identification by preliminary treatment of 3D measurements
Andrea Gaetano Chiariello, Alessandro Formisano, Francesco Ledda, Raffaele Martone and Francesco Pizzo Fusion Engineering and Design 96-97 654 (2015) https://doi.org/10.1016/j.fusengdes.2015.06.090
Impact of error fields on plasma identification in ITER
Regularization of inverse magnetostatic problems: possibilities and pitfalls
A. Formisano COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 24(3) 740 (2005) https://doi.org/10.1108/03321640510598102
Computation of magnetic field sources from measurements using iterative regularization
Optimisation of magnetic sensors for current reconstruction
A. Formisano and R. Martone COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 22(3) 535 (2003) https://doi.org/10.1108/03321640310474921
An approach to the plasma magnetic contour identification in presence of eddy currents
Resolution of a linear and a nonlinear inverse problem in magnetostatics
S. Bégot, E. Artioukhine, P. Hiebel and J. M. Kauffmann The European Physical Journal Applied Physics 19(2) 141 (2002) https://doi.org/10.1051/epjap:2002060
Improvement of filamentary plasma identification via neural networks