Fig. 10.
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Predicted pseudo-continuum for a spectrum of HD 148937 (O6.5) with Hα and HeI 6678 Å lines in emission. SUPPNet (active) correctly deals with most emission features, while SUPPNet (synth) treats those features as a part of pseudo-continuum. This is an important example of where active learning significantly improves the normalisation quality.
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