Two-dimensional plasma density evolution local to the inversion layer during sawtooth crash events using Beam Emission Spectroscopy
Sayak Bose, William Fox, Dingyun Liu, Zheng Yan, George McKee, Aaron, Goodman, Hantao Ji

TL;DR
This paper develops methods to analyze 2-D Beam Emission Spectroscopy data for plasma density evolution during sawtooth crashes in tokamaks, enabling detailed spatial and temporal insights into these rapid events.
Contribution
It introduces a novel approach for removing edge light pulses and calibrating BES channels, allowing accurate measurement of large-amplitude density oscillations during sawtooth events.
Findings
Large-amplitude density oscillations observed near the inversion layer.
Significant spatial variations in density during sawtooth crashes.
Density peaks correlate with temperature crash timing.
Abstract
We present methods for analyzing Beam Emission Spectroscopy (BES) data to obtain the plasma density evolution associated with rapid sawtooth crash events at the DIII-D tokamak. BES allows coverage over a 2-D spatial plane, inherently local measurements, with fast time responses, and therefore provides a valuable new channel for data during sawtooth events. A method is developed to remove sawtooth-induced edge-light pulses contained in the BES data. The edge light pulses appear to be from the emission produced by edge recycling during sawtooth events, and are large enough that traditional spectroscopic filtering and data analysis techniques are insufficient to deduce physically meaningful quantities. A cross-calibration of 64 BES channels is performed using a novel method to ensure accurate measurements. For the large-amplitude density oscillations observed, we discuss…
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Taxonomy
TopicsForensic Fingerprint Detection Methods · Geophysical Methods and Applications · Digital and Cyber Forensics
