Transfer Learning Application of Self-supervised Learning in ARPES

Recent development in angle-resolved photoemission spectroscopy (ARPES) technique involves spatially resolving samples while maintaining the high-resolution feature of momentum space. This development easily expands the data size and its complexity for data analysis, where one of it is to label simi...

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Veröffentlicht in:	arXiv.org 2022-08
Hauptverfasser:	Ekahana, Sandy Adhitia, Genta Indra Winata, Soh, Y, Aeppli, Gabriel, Radovic Milan, Shi, Ming
Format:	Artikel
Sprache:	eng
Schlagworte:	Automation Cluster analysis Clustering Computer Science - Learning Data analysis Image analysis Photoelectric emission Physics - Data Analysis, Statistics and Probability Physics - Instrumentation and Detectors Self-supervised learning Supervised learning Vector quantization
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