Evolution patterns and parameter regimes in edge localized modes on the National Spherical Torus Experiment

D Smith, R Fonck, G McKee, A Diallo, S Kaye, B LeBlanc & S Sabbagh
We implement unsupervised machine learning techniques to identify characteristic evolution patterns and associated parameter regimes in edge localized mode (ELM) events observed on the National Spherical Torus Experiment. Multi-channel, localized measurements spanning the pedestal region capture the complex evolution patterns of ELM events on Alfven timescales. Some ELM events are active for less than 100~microsec, but others persist for up to 1~ms. Also, some ELM events exhibit a single dominant perturbation, but others are oscillatory....
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