The tomographic diagnostic of ITER neutral beam injector

• Published in: Nuclear fusion Vol. 53; no. 5; pp. 53009 - 12
• Main Authors: Brombin, M., Agostini, M., Dianin, C., Mattiolo, M., Pasqualotto, R., Serianni, G., Spizzo, G.
• Format: Journal Article
• Language: English
• Published: IOP Publishing and International Atomic Energy Agency 01.05.2013
• Subjects: Algorithms; Beams (structural); Diagnostic systems; Injectors; inverse problems; ITER; MITICA; Neutral beams; Noise; Particle beams; Two dimensional; visible tomography
• ISSN: 0029-5515; 1741-4326
• DOI: 10.1088/0029-5515/53/5/053009

The two-dimensional (2D) density distribution of a particle beam can be reconstructed using a diagnostic based on tomographic techniques, which measures the Dα light. This paper presents investigations and tests concerning the reliability of such a diagnostic, applied to the beam produced in MITICA (Megavolt ITER Injector & Concept Advancement) the full-size prototype of the neutral beam injector, which will be used for additional heating on ITER. It aims at developing the technologies to guarantee the correct operation of the injectors to be installed in ITER. The main target of the tomographic diagnostic is the measurement of the beam uniformity with sufficient contrast and spatial resolution, and of its evolution throughout the pulse duration. In particular the ITER beam uniformity is required to be within 10%, thus the error of the tomographic reconstruction has to be lower than this value. The conceptual design of the diagnostic is presented, with a description of the layout and main components. The portholes around the vessel and the geometry of the lines of sight are arranged so as to cover the whole area of the beam. A tomographic algorithm based on the simultaneous algebraic reconstruction technique (SART) is developed to reconstruct the beam intensity profile. Phantoms reproducing different experimental beam configurations are simulated and reconstructed with this technique. The role of noise in the line-integrated signals is studied and its effect on the reconstructed emission is investigated. The unsatisfactory results suggested the introduction of a regularization algorithm, to reduce the effect of the noise in the beam reconstruction. In this way, the simulated phantoms are correctly reconstructed and their 2D spatial non-uniformity is correctly estimated, up to a noise level of 10%.