Dark solitons in BECs dataset 2.0

Atomic Bose-Einstein condensates (BECs) are widely investigated systems that exhibit quantum phenomena on a macroscopic scale. For example, they can be manipulated to contain solitonic excitations including conventional solitons, vortices, and many more. Broadly speaking, solitonic excitations are solitary waves that retain their size and shape and often propagate at a constant speed. They are present in many systems, at scales ranging from microscopic, to terrestrial and even astronomical. However, unlike naturally occurring physical systems, the parameters governing BECs are under strict experimental control.The enlarged Dark solitons in BECs dataset v.2.0 dataset was created to enable the implementation of machine learning (ML) techniques to automate the analysis of data coming from cold atom experiments. It includes quantitative estimates of all longitudinal solitons quality as well as new fine-grained solitonic excitation categories of all detected excitations. It is freely available to the whole ML and physics community the opportunity to develop novel ML techniques for cold atom systems and to further explore the intersection of ML and quantum physics.