activity
20172022
most citedQuasiparticle energy in a strongly interacting homogeneous Bose-Einstein condensate

48 citations · 281 across the 11 of their papers we have counts for

collaborators

11 papers

cond-mat.quant-gas2022★ 28 cited

Universal Scaling of the Dynamic BKT Transition in Quenched 2D Bose Gases

Shinichi Sunami, Vijay P. Singh, David Garrick +6

While renormalization group theory is a fully established method to capture equilibrium phase transitions, the applicability of RG theory to universal non-equilibrium behavior rema…

cond-mat.quant-gas2021★ 33 cited

Observation of the BKT Transition in a 2D Bose Gas via Matter-Wave Interferometry

Shinichi Sunami, Vijay P. Singh, David Garrick +6

We probe local phase fluctuations of trapped two-dimensional (2D) Bose gases using matter-wave interferometry. This enables us to measure the phase correlation function, which chan…

cond-mat.quant-gas2020★ 15 cited

Coherent splitting of two-dimensional Bose gases in magnetic potentials

Adam J. Barker, Shinichi Sunami, David Garrick +4

Investigating out-of-equilibrium dynamics with two-dimensional (2D) systems is of widespread theoretical interest, as these systems are strongly influenced by fluctuations and ther…

cond-mat.quant-gas2020★ 12 cited

Realising a species-selective double well with multiple-radiofrequency-dressed potentials

A. J. Barker, S. Sunami, D. Garrick +4

Techniques to manipulate the individual constituents of an ultracold mixture are key to investigating impurity physics. In this work, we confine a mixture of the hyperfine ground s…

cond-mat.quant-gas2019★ 6 cited

Inelastic collisions in radiofrequency-dressed mixtures of ultracold atoms

Elliot Bentine, Adam J. Barker, Kathrin Luksch +6

Radiofrequency (RF)-dressed potentials are a promising technique for manipulating atomic mixtures, but so far little work has been undertaken to understand the collisions of atoms…

cond-mat.quant-gas2019★ 37 cited

Applying machine learning optimization methods to the production of a quantum gas

Adam J. Barker, Harry Style, Kathrin Luksch +5

We apply three machine learning strategies to optimize the atomic cooling processes utilized in the production of a Bose-Einstein condensate (BEC). For the first time, we optimize…