Overview of the COMPASS results*In the future we will refer to the author list of the paper as the COMPASS Team. (1st April 2022)

• Record Type: Journal Article
• Authors: Hron, M.; Adámek, J.; Cavalier, J.; Dejarnac, R.; Ficker, O.; Grover, O.; Horáček, J.; Komm, M.; Macúšová, E.; Matveeva, E.; Pánek, R.; Peterka, M.; Seidl, J.; Tskhakaya, D.; Yanovskiy, V.; Artola, F.J.; Atikukke, S.; Bartoň, P.; Bencze, A.; Berta, M.; Bílková, P.; Bin, W.; Bogár, K.; Bogár, O.; Böhm, P.; Borodkina, I.; Brezinsek, S.; Brochard, F.; Buratti, P.; Čaloud, J.; Casolari, A.; Castaldo, C.; Čečrdle, J.; Čeřovský, J.; Cipciar, D.; Devitre, A.; Dimitrova, M.; Ďuran, I.; Entler, S.; Farník, M.; Fernandes, H.; Fridrich, D.; Fuková, Š.; Gauthier, E.; Gerardin, J.; Gobbin, M.; Grenfell, G.; Gribov, Y.; Grof, M.; Gunn, J.; Háček, P.; Havlíček, J.; Havránek, A.; Hidalgo, C.; Hromasová, K.; Hronova, O.; Iafrati, M.; Imríšek, M.; Isernia, N.; Jaulmes, F.; Jeřáb, M.; Jirsa, M.; Junek, P.; Kallenbach, A.; Kovanda, O.; Kovařík, K.; Krbec, J.; Kripner, L.; Krlín, L.; Kulhánek, P.; Lehnen, M.; Lemoine, N.; Litaudon, X.; Liu, Y.Q.; Logan, N.C.; Loarer, T.; Loarte, A.; Lourenco, P.; Lukes, S.; Mácha, P.; Rabinski, M.; Marin Roldan, A.; Markovič, T.; Matějíček, J.; Mazzitelli, G.; Mlynář, J.; Mysiura, I.; Napoli, F.; Naydenkova, D.; Park, J.-K.; Patel, N.; Pavlo, P.; Pitts, R.; Podolník, A.; Poradzinski, M.; Preinhaelter, J.; Prishvitsin, A.; Refy, D.; Roccella, R.; Šesták, D.; Shyshkin, O.; Škvára, V.; Šos, M.; Spolaore, M.; Stöckel, J.; Svoboda, J.; Tomeš, M.; Torres, A.; Turjanica, P.; Tynan, G.; Valovič, M.; Van Oost, G.; Varavin, M.; Varju, J.; Veis, P.; Vilemova, M.; Villone, F.; Vondráček, P.; Weinzettl, V.; Žáček, F.; Zadvitskiy, G.; Zajac, J.; Zaloga, D.R.; Zebrowski, J.; Zoletnik, S.;
• Is Part Of: Nuclear fusion. Volume 62:Number 4(2022)
• Publication Date: 2022-04-01
• Subjects: nuclear fusion -- tokamak physics -- COMPASS tokamak -- H-mode -- plasma–material interaction -- runaway electrons -- disruptions; Nuclear fusion -- Periodicals; 621.48405
• DOI: 10.1088/1741-4326/ac301f
• Languages: English
• ISSNs: 0029-5515

Abstract

Abstract: COMPASS addressed several physical processes that may explain the behaviour of important phenomena. This paper presents results related to the main fields of COMPASS research obtained in the recent two years, including studies of turbulence, L–H transition, plasma material interaction, runaway electron, and disruption physics: Tomographic reconstruction of the edge/SOL turbulence observed by a fast visible camera allowed to visualize turbulent structures without perturbing the plasma. Dependence of the power threshold on the X-point height was studied and related role of radial electric field in the edge/SOL plasma was identified. The effect of high-field-side error fields on the L–H transition was investigated in order to assess the influence of the central solenoid misalignment and the possibility to compensate these error fields by low-field-side coils. Results of fast measurements of electron temperature during ELMs show the ELM peak values at the divertor are around 80% of the initial temperature at the pedestal. Liquid metals were used for the first time as plasma facing material in ELMy H-mode in the tokamak divertor. Good power handling capability was observed for heat fluxes up to 12 MW m −2 and no direct droplet ejection was observed. Partial detachment regime was achieved by impurity seeding in the divertor. The evolution of the heat flux footprint at the outer target was studied. Runaway electrons were studied using new unique systems—impact calorimetry, carbon pellet injection technique, wide variety of magnetic perturbations. Radial feedback control was imposed on the beam. Forces during plasma disruptions were monitored by a number of new diagnostics for vacuum vessel (VV) motion in order to contribute to the scaling laws of sideways disruption forces for ITER. Current flows towards the divertor tiles, incl. possible short-circuiting through PFCs, were investigated during the VDE experiments. The results support ATEC model and improve understanding of disruption loads.