Noninvasive identification of carbon-based black pigments with pump-probe microscopy

Abstract

Carbon-based black pigments, a widely used class of pigments, are difficult to differentiate with the noninvasive techniques currently used in cultural heritage science. We utilize pump-probe microscopy to distinguish four common carbon-based black pigments as pure pigments, as two-component black pigment mixtures, and as a mixture of a black and a colorful pigment. This work also demonstrates that even nominally homogeneous pigments present remarkable, and useful, heterogeneity in pump-probe microscopy.

References in corpus (4)

• Scikit-learn: Machine Learning in Python
• Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning
• Beyond intensity modulation: new approaches to pump-probe microscopy
• Non-destructive Three-dimensional Imaging of Artificially Degraded CdS Paints by Pump-probe Microscopy