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Jet-Efda Contributors

Researcher at International Atomic Energy Agency

Publications -  834
Citations -  20119

Jet-Efda Contributors is an academic researcher from International Atomic Energy Agency. The author has contributed to research in topics: Jet (fluid) & Divertor. The author has an hindex of 61, co-authored 816 publications receiving 18429 citations. Previous affiliations of Jet-Efda Contributors include European Atomic Energy Community & Joint European Torus.

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Confinement Transitions (H-mode) in JET inner wall limiter plasmas

TL;DR: In this paper, the transition from the limiter H-mode to the divertor Hmode was observed in JET inner wall limited plasmas in experiments performed at a magnetic field of 0.8 T and at a current of 1.9 MA, using up to 7 MW of auxiliary heating power.
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Analysis of the JET FIR interferometer beam phase changes during plasmas and application for fast fringe jump corrections by electronics

TL;DR: In this article, a Field Programmable Get Array (FPGA) was used to calculate the phase and correct the fringe jumps at the frequency rate of the probe sinusoidal signal (100 KHz) on the CEA Tore Supra tokamak.
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Classifier based on support vector machine for JET plasma configurationsa)

TL;DR: For automated recognition of JET configurations, a learning system based on support vector machines has been developed and results with eight simultaneous classes (plasma configurations) show a success rate close to 100%.
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Innovative diagnostics for ITER physics addressed in JET

TL;DR: In this paper, a synergy between new infrared cameras, visible cameras and spectroscopy diagnostics has allowed investigating a series of new aspects of the plasma wall interactions, the interplay between core and edge physics and fast particles.
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Deuterium density profile determination at JET using a neutron camera and a neutron spectrometer.

TL;DR: This work estimates the fuel ion density profile in deuterium plasmas at JET, using the JET neutron camera, the neutron time-of-flight spectrometer TOFOR, and fusion reactivities modeled by the transport code TRANSP, with an average accuracy of 10 %.