Accurately constraining velocity information from spectral imaging observations using machine learning techniques
Determining accurate plasma Doppler (line-of-sight) velocities from spectroscopic measurements is a challenging endeavour, especially when weak chromospheric absorption lines are often rapidly evolving and, hence, contain multiple spectral components in their constituent line profiles. Here, we present a novel method that employs machine learning
MacBride, Conor D. et al.
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2021