Scheeler, Martin W., Kleckner, Dustin, Proment, Davide ORCID: https://orcid.org/0000-0002-9472-0097, Kindlmann, Gordon L. and Irvine, William T. M. (2014) Helicity conservation by flow across scales in reconnecting vortex links and knots. Proceedings of the National Academy of Sciences, 111 (43). pp. 15350-15355. ISSN 0027-8424
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Abstract
The conjecture that helicity (or knottedness) is a fundamental conserved quantity has a rich history in fluid mechanics, but the nature of this conservation in the presence of dissipation has proven difficult to resolve. Making use of recent advances, we create vortex knots and links in viscous fluids and simulated superfluids and track their geometry through topology-changing reconnections. We find that the reassociation of vortex lines through a reconnection enables the transfer of helicity from links and knots to helical coils. This process is remarkably efficient, owing to the antiparallel orientation spontaneously adopted by the reconnecting vortices. Using a new method for quantifying the spatial helicity spectrum, we find that the reconnection process can be viewed as transferring helicity between scales, rather than dissipating it. We also infer the presence of geometric deformations that convert helical coils into even smaller scale twist, where it may ultimately be dissipated. Our results suggest that helicity conservation plays an important role in fluids and related fields, even in the presence of dissipation.
Item Type: | Article |
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Additional Information: | Copyright National Academy of Sciences |
Uncontrolled Keywords: | helicity,fluid topology,vortex reconnections,superfluid vortices,topological fields |
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 > Quantum Matter Faculty of Science > Research Groups > Numerical Simulation, Statistics & Data Science |
Depositing User: | Pure Connector |
Date Deposited: | 09 Jun 2014 13:32 |
Last Modified: | 21 Nov 2024 03:16 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/48632 |
DOI: | 10.1073/pnas.1407232111 |
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