  We investigate the properties of the ion sky maps produced by the Dual Ion
Spectrometers (DIS) from the Fast Plasma Investigation (FPI). We have trained a
convolutional neural network classifier to predict four regions crossed by the
MMS on the dayside magnetosphere: solar wind, ion foreshock, magnetosheath, and
magnetopause using solely DIS spectrograms. The accuracy of the classifier is
>98%. We use the classifier to detect mixed plasma regions, in particular to
find the bow shock regions. A similar approach can be used to identify the
magnetopause crossings and reveal regions prone to magnetic reconnection. Data
processing through the trained classifier is fast and efficient and thus can be
used for classification for the whole MMS database.
