Dark Solitons in Bose-Einstein Condensates: A Dataset for Many-body Physics Research. (arXiv:2205.09114v1 [cond-mat.quant-gas])

We establish a dataset of over $1.6times10^4$ experimental images of
Bose-Einstein condensates containing solitonic excitations to enable machine
learning (ML) for many-body physics research. About 33 % of this dataset has
manually assigned and carefully curated labels. The remainder is automatically
labeled using SolDet — an implementation of a physics-informed ML data
analysis framework — consisting of a convolutional-neural-network-based
classifier and object detector as well as a statistically motivated
physics-informed classifier and a quality metric. This technical note
constitutes the definitive reference of the dataset, providing an opportunity
for the data science community to develop more sophisticated analysis tools, to
further understand nonlinear many-body physics, and even advance cold atom
experiments.

Source: https://arxiv.org/abs/2205.09114

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