Vortex coarsening in a superfluid shear layer
POSTER
Abstract
In classical 2D fluids, the end state of decaying turbulence often consists of multiple high circulation vortices, known as a vortex crystal [1, 2]. These quasi-equilibrium states contrast with the predictions of equilibrium statistical mechanics that instead predict a single highly-concentrated cluster [3]. In this work, we investigate decaying turbulence in a 2D quantum fluid and look for evidence of progressive vortex clustering [4]. Our initial state is a ring of closely-spaced quantized vortices, corresponding to a superfluid shear layer. The shear layer is unstable via an analogy to the classical Kelvin-Helmholtz instability [5].
After preparing the vortex ring we measure the vortex cluster number during the ensuing turbulence decay, utilizing a k-means clustering algorithm. We find analogous behaviour to decaying classical 2D turbulence, observing self-similar decay in the cluster number. This is characterized by a power-law dependence on time, with the number of vortex clusters varying as $N(t) \propto t^{-\alpha}$, where $\alpha =0.21\pm0.07$ . While our experiment is limited to a total vortex number of $N = 20$, we extend our numerical analysis to $N = 200 vortices$, finding that the exponent approaches $\alpha \approx 0.7$ independent of vortex number. Despite confirming self-similar decay, we find that the system does equilibrate to a single cluster instead of remaining in a vortex crystal state. For $t > 1$ s the state matches the predictions of maximum fluid entropy models, consisting of a single vortex cluster.
[1] D. Z. Jin and D. H. E. Dubin, Regional maximum entropy theory of vortex crystal formation, Phys. Rev. Lett. 80, 4434 (1998)
[2] P. Tabeling, Two-dimensional turbulence: a physicist approach, Physics Reports 362, 1 (2002).
[3] L. Onsager, Statistical hydrodynamics, Il Nuovo Cimento (1943-1954) 6, 279 (1949).
[4] S. Simjanovski et al., Shear-induced decaying turbulence in Bose-Einstein condensates (2024), arXiv:2408.02200 [cond-mat.quant-gas].
[5] D. Hernàndez-Rajkov et al., Connecting shear flow and vortex array instabilities in annular atomic superfluids, Nature Physics 20, 939 (2024).
After preparing the vortex ring we measure the vortex cluster number during the ensuing turbulence decay, utilizing a k-means clustering algorithm. We find analogous behaviour to decaying classical 2D turbulence, observing self-similar decay in the cluster number. This is characterized by a power-law dependence on time, with the number of vortex clusters varying as $N(t) \propto t^{-\alpha}$, where $\alpha =0.21\pm0.07$ . While our experiment is limited to a total vortex number of $N = 20$, we extend our numerical analysis to $N = 200 vortices$, finding that the exponent approaches $\alpha \approx 0.7$ independent of vortex number. Despite confirming self-similar decay, we find that the system does equilibrate to a single cluster instead of remaining in a vortex crystal state. For $t > 1$ s the state matches the predictions of maximum fluid entropy models, consisting of a single vortex cluster.
[1] D. Z. Jin and D. H. E. Dubin, Regional maximum entropy theory of vortex crystal formation, Phys. Rev. Lett. 80, 4434 (1998)
[2] P. Tabeling, Two-dimensional turbulence: a physicist approach, Physics Reports 362, 1 (2002).
[3] L. Onsager, Statistical hydrodynamics, Il Nuovo Cimento (1943-1954) 6, 279 (1949).
[4] S. Simjanovski et al., Shear-induced decaying turbulence in Bose-Einstein condensates (2024), arXiv:2408.02200 [cond-mat.quant-gas].
[5] D. Hernàndez-Rajkov et al., Connecting shear flow and vortex array instabilities in annular atomic superfluids, Nature Physics 20, 939 (2024).
Numbers needed. I think you can do latex in the abstract submission — I’ve highlighted the stuff that needs $$ math mode around it.
Publication: S. Simjanovski et al., Shear-induced decaying turbulence in Bose-Einstein condensates (2024), arXiv:2408.02200 [cond-mat.quant-gas].
Presenters
-
Simeon Simjanovski
The University of Queensland
Authors
-
Simeon Simjanovski
The University of Queensland
-
Guillaume Gauthier
University of Queensland
-
Halina Rubinsztein-Dunlop
The University of Queensland, UQ, University of Queensland
-
Matthew T Reeves
The University of Queensland, University of Queensland
-
Tyler W Neely
University of Queensland