Tomographic reconstruction of the visible emission of NIO1 negative ion beam
Contributo in Atti di convegno
Data di Pubblicazione:
2019
Abstract:
Neutral beam injectors (NBIs) are one of the most important additional heating devices both
in present and in future nuclear fusion experiments. In order to heat the plasma at the high
temperatures required, several critical aspects need to be fulfilled in the design of future NBI.
In particular, one issue is the maximization of the spatial uniformity of the extracted beam,
which is a strict requirement for ITER NBI [1]. This information can be achieved by the
tomographic reconstruction of the beam emission profile, using a sufficient number of
suitably arranged cameras.
The aim of this contribution is to present the tomographic diagnostic of the extracted beam of
the NIO1 experiment [2], which is a small-size radio-frequency driven negative ion source.
The tomographic system is composed of three visible cameras and the inversion is obtained
by the simultaneous algebraic reconstruction technique [3]. The surface of the beam
cross-section is divided into pixels and the employed algorithm reconstructs the emissivity
profile of each pixel. The reconstruction of the experimental data is capable of showing the
3x3 matrix of the extracted beamlets in different experimental conditions using a 40x40 pixel
matrix. Using the information collected by this non-invasive diagnostic, it is possible to
characterize the main beam properties, such as the beam uniformity and aiming. Moreover, a
correlation between the source physics and the extracted beam behaviour is performed.
Furthermore, an estimation of the divergence is achieved by reconstructing the beam profile
at different positions along its propagation direction.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
NBIs; Neutral Beam Injectors; ITER
Elenco autori:
Serianni, Gianluigi; Agostini, Matteo; Brombin, Matteo; Pasqualotto, Roberto
Link alla scheda completa:
Titolo del libro:
46th EPS Conference on Plasma Physics 8 - 12 July 2019