Atom Cloud Detection and Segmentation Using a Deep Neural Network (Data)
University of Oxford (2021)
Abstract:
The data for the the paper "Atom Cloud Detection and Segmentation Using a Deep Neural Network." See the readme file in the .zip file for a detailed explanation of the data contents and structure.Bidirectional dynamic scaling in an isolated Bose gas far from equilibrium
(2020)
Synthetic dissipation and cascade fluxes in a turbulent quantum gas
Science (2019)
Abstract:
Scale-invariant fluxes are the defining property of turbulent cascades, but their direct measurement is a challenging experimental problem. Here we perform such a measurement for a direct energy cascade in a turbulent quantum gas. Using a time-periodic force, we inject energy at a large lengthscale and generate a cascade in a uniformly-trapped three-dimensional Bose gas. The adjustable trap depth provides a high-momentum cutoff kD, which realizes a synthetic dissipation scale. This gives us direct access to the particle flux across a momentum shell of radius kD, and the tunability of kD allows for a clear demonstration of the zeroth law of turbulence. Moreover, our time-resolved measurements give unique access to the pre-steady-state dynamics, when the cascade front propagates in momentum space.Can three-body recombination purify a quantum gas?
Physical Review Letters American Physical Society (2019)