Automated analysis of turbulent electron temperature fluctuation measurements at ASDEX Upgrade

Turbulent transport is generally found to determine energy and particle confinement times in tokamaks. The correlation electron cyclotron emission (CECE) diagnostic installed on the ASDEX Upgrade tokamak measures broadband, long-wavelength (k_θρ_s < 0.3) electron temperature fluctuations, yielding insight into turbulence-driven transport. Analysis of CECE data is well-suited to automation during the steady-state conditions often used for experimental studies. Such an automated analysis must account for the presence of artifacts, stemming from sources including electronics noise and low-frequency MHD modes, that can obscure the actual temperature fluctuations and impact the validity of the measurements. Here results of an automated, noise-filtering computational method for the analysis of CECE data are presented. The automated analysis is used to create a large experimental database of CECE analysis results. The database provides a unique opportunity to search for trends in turbulent electron temperature fluctuation levels over a large range of parameter space and allows for direct comparisons with cutting-edge numerical models.