Speaker
Description
See the full abstract here:
http://ocs.ciemat.es/EPS2019ABS/pdf/P1.1020.pdf
Recently, the Lithium Beam Emission Spectroscopy (Li-BES) system [1,2] on the COMPASS tokamak has reached its full diagnostic capabilities. It is used for routine automatic measurements in a majority of COMPASS discharges and serves as a standard tool for reconstruction of fast (up to 2 s) density profiles in the edge plasma region [3]. During the course of recent few years, an extensive database of COMPASS Li-BES measurements has been established. One way to utilize this set of data is to study statistical properties of relevant physics phenomena over a large number of discharges and a wide range of plasma parameters.
Here we report on such a study of statistical properties of ELMs in H-mode COMPASS plasmas [4]. Analysis of the ELM's filamentary structure, waiting time and duration distributions and their radial variations in dependence on the main plasma parameters were performed. One of the main aims was to attempt to statistically characterize and distinguish different ELM types and provide a way for their simple and automated classification. The usability of generalized sequential probability ratio test (gSPRT) [5] for automatic ELM event detection in Li-BES data is also demonstrated.
[1] G. Anda et al., Fusion Engineering and Design 108, 1-6 (2016)
[2] M. Berta et al., Fusion Engineering and Design 96-97, 795 (2015)
[3] J. Krbec et al., Review of Scientific Instruments 89, 113504 (2018)
[4] R. P·nek et al., Plasma Physics and Controlled Fusion 58, 014015 (2016)
[5] M. Berta et al., Fusion Engineering and Design 123, 950 (2017)
