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Villois, Alberto, Krstulovic, Giorgio, Proment, Davide 
ORCID: https://orcid.org/0000-0002-9472-0097 and Salman, Hayder
(2016)
A vortex filament tracking method for the Gross–Pitaevskii model of a superfluid.
Journal of Physics A: Mathematical and Theoretical, 49 (41).
ISSN 1751-8113
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Abstract
We present an accurate and robust numerical method to track quantized vortex lines in a superfluid described by the Gross--Pitaevskii equation. By utilizing the pseudo-vorticity field of the associated complex scalar order parameter of the superfluid, we are able to track the topological defects of the superfluid and reconstruct the vortex lines which correspond to zeros of the field. Throughout, we assume our field is periodic to allow us to make extensive use of the Fourier representation of the field and its derivatives in order to retain spectral accuracy. We present several case studies to test the precision of the method which include the evaluation of the curvature and torsion of a torus vortex knot, and the measurement of the Kelvin wave spectrum of a vortex line and a vortex ring. The method we present makes no a-priori assumptions on the geometry of the vortices and is therefore applicable to a wide range of systems such as a superfluid in a turbulent state that is characterised by many vortex rings coexisting with sound waves. This allows us to track the positions of the vortex filaments in a dense turbulent vortex tangle and extract statistical information about the distribution of the size of the vortex rings and the inter-vortex separations. In principle, the method can be extended to track similar topological defects arising in other physical systems.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | superfluid,gross–pitaevskii equation,quantised vortices,topological defects,vortex dynamics,quantum turbulence |
| Faculty \ School: | Faculty of Science > School of Mathematics (former - to 2024) |
| UEA Research Groups: | Faculty of Science > Research Groups > Quantum Fluids (former - to 2024) Faculty of Science > Research Groups > Centre for Photonics and Quantum Science Faculty of Science > Research Groups > Fluids & Structures Faculty of Science > Research Groups > Quantum Matter Faculty of Science > Research Groups > Numerical Simulation, Statistics & Data Science |
| Related URLs: | |
| Depositing User: | Pure Connector |
| Date Deposited: | 27 Sep 2016 10:00 |
| Last Modified: | 07 Nov 2024 12:39 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/60603 |
| DOI: | 10.1088/1751-8113/49/41/415502 |
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