A neural network trained on synthetic ARPES spectra from the open-source simulator aurelia can predict spectral quality on real Bi2Se3 data and locate optimal regions, though the underlying quality labels are heuristic.
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A simulation-based training framework for machine-learning applications in ARPES
A neural network trained on synthetic ARPES spectra from the open-source simulator aurelia can predict spectral quality on real Bi2Se3 data and locate optimal regions, though the underlying quality labels are heuristic.