91̽»¨

Abstract:

Data used in the publication "How to realise a homogeneous dipolar Bose gas in the roton regime" by Juhász et al., published in Physical Review A. The readme.txt file gives a detailed explanation of the data and its structure, the data itself are contained in the data.json file.

Abstract:

The data for the the paper "Measuring Laser Beams with a Neural Network." The readme.txt file in main directory gives a detailed explanation of the data contents and structure. See https://github.com/Dipolar-Quantum-Gases/nn-beam-profiling for code pertaining to the dataset and the paper.

Abstract:

We use a deep neural network to detect and place region-of-interest boxes around ultracold atom clouds in absorption and fluorescence images---with the ability to identify and bound multiple clouds within a single image. The neural network also outputs segmentation masks that identify the size, shape and orientation of each cloud from which we extract the clouds' Gaussian parameters. This allows 2D Gaussian fits to be reliably seeded thereby enabling fully automatic image processing.