Impurity transport in tokamak plasmas, theory, modelling and comparison with experiments

Author(s):  
Clemente Angioni
2000 ◽  
Vol 61 (5) ◽  
pp. 5701-5709 ◽  
Author(s):  
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K. B. Fournier ◽  
M. Zerbini ◽  
M. Finkenthal ◽  
M. Mattioli ◽  
...  

2019 ◽  
Vol 26 (8) ◽  
pp. 082306 ◽  
Author(s):  
E. Gravier ◽  
M. Lesur ◽  
X. Garbet ◽  
Y. Sarazin ◽  
J. Médina ◽  
...  

2009 ◽  
Vol 16 (3) ◽  
pp. 032306 ◽  
Author(s):  
T. Fülöp ◽  
H. Nordman

1996 ◽  
Vol 3 (3) ◽  
pp. 956-964 ◽  
Author(s):  
A. Ödblom ◽  
D. Anderson ◽  
L.‐G. Eriksson ◽  
M. Lisak

2020 ◽  
Vol 39 (5) ◽  
pp. 240-250 ◽  
Author(s):  
A. Jardin ◽  
J. Bielecki ◽  
D. Mazon ◽  
J. Dankowski ◽  
K. Król ◽  
...  

AbstractTomography diagnostics represent an essential tool in tokamaks to infer the local plasma properties using line-integrated measurements from one or several cameras. In particular, soft X-rays (SXR) in the energy range 0.1–20 keV can provide valuable information on magnetohydrodynamic activity, magnetic equilibrium or impurity transport. Heavy impurities like tungsten (W) are a major source of concern due to significant radiation losses in the plasma core, thus they have to be kept under acceptable concentrations. Therefore, 2D SXR tomography diagnostics become crucial to estimate the W concentration profile in the plasma, quantify the W poloidal distribution and identify relevant impurity mitigation strategies. In this context, a synthetic diagnostic becomes a very valuable tool (1) to study the tomographic reconstruction capabilities, (2) to validate diagnostic design as well as (3) to assess the error propagation during the reconstruction process and impurity transport analysis. The goal of this contribution is to give some highlights on recent studies related to each of these three steps, for the development of SXR synthetic diagnostic tools in tokamak plasmas.


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