Database study of turbulent electron temperature fluctuation measurements at ASDEX Upgrade

Version 15.0
Database study of turbulent electron temperature fluctuation measurements at ASDEX Upgrade
Christian Yoo, Rachel Bielajew, Garrard D. Conway, Pedro A. Molina Cabrera, Pablo Rodriguez-Fernandez, Branka Vanovac, Anne E. White, the EUROfusion MST1 Team, the ASDEX Upgrade Team, 2025, "Database study of turbulent electron temperature fluctuation measurements at ASDEX Upgrade", https://doi.org/10.7910/DVN/TATVKE, Harvard Dataverse, V15
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Description
In this work, an automated method for the analysis of data from the correlation electron cyclotron emission (CECE) diagnostic is applied to discharges in the ASDEX Upgrade (AUG) tokamak. This recently developed, automated method provides an efficient means of accurately analysing large quantities of experimental turbulence data, enabling the development of the largest database of CECE measurements of tokamak plasmas to-date. The turbulence database provides the opportunity to search for large-scale trends in experimental data to improve our understanding of transport-relevant plasma turbulence. The results of physics-based investigations utilizing this turbulence database will be reported on separately from this work.
Subject Physics
Keyword ASDEX Upgrade, database, tokamak, transport, turbulence
Notes CITATION: EPJ Web of Conferences 277, 03001 (2023)

PUBLISHED VERSION DOI: http://doi.org/10.1051/epjconf/202327703001

PSFC REPORT PSFC/JA-22-104

This work is supported by the US Department of Energy under grants DE-SC0014264, DE-SC0006419, and DE-SC0017381. This work has been carried out within the framework of the EUROfusion Consortium, funded by the European Union via the Euratom Research and Training Programme (Grant Agreement No 101052200 – EUROfusion). Views and opinions expressed are however those of the authors only and do not necessarily reflect those of the European Union or the European Commission. Neither the European Union nor the European Commission can be held responsible for them. This material is based upon work supported by the National Science Foundation Graduate Research Fellowship under Grant No. 1745302 and 2141064. Any opinion, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.

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