EMBER: Machine-Learning Detection of Modulated Ion Acoustic Waves and Associated Core-Electron Heating in the Solar Wind with Parker Solar Probe
This paper introduces EMBER, an open-source machine-learning pipeline that successfully automates the detection of modulated ion acoustic waves in Parker Solar Probe data, achieving high accuracy while confirming their role in driving core-electron heating without relying on temperature data for identification.