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20172022
most citedUltracold atoms in multiple-radiofrequency dressed adiabatic potentials

45 citations · 208 across the 9 of their papers we have counts for

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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…

cond-mat.quant-gas2018★ 10 cited

Probing multiple-frequency atom-photon interactions with ultracold atoms

Kathrin Luksch, Elliot Bentine, Adam J. Barker +4

We dress atoms with multiple-radiofrequency fields and investigate the spectrum of transitions driven by an additional probe field. A complete theoretical description of this rich…

cond-mat.quant-gas2017★ 45 cited

Ultracold atoms in multiple-radiofrequency dressed adiabatic potentials

Tiffany Laura Harte, Elliot Bentine, Kathrin Luksch +4

We present the first experimental demonstration of a multiple-radiofrequency dressed potential for the configurable magnetic confinement of ultracold atoms. We load cold Rb…

cond-mat.quant-gas2017★ 22 cited

Species-selective confinement of atoms dressed with multiple radiofrequencies

E. Bentine, T. L. Harte, K. Luksch +4

Methods to manipulate the individual constituents of an ultracold quantum gas mixture are essential tools for a number of applications, for example the direct quantum simulation of…