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Proment, Davide 
ORCID: https://orcid.org/0000-0002-9472-0097 and Krstulovic, Giorgio
(2020)
Matching theory to characterize sound emission during vortex reconnection in quantum fluids.
Physical Review Fluids, 5 (10).
ISSN 2469-990X
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Abstract
In a concurrent work, Villois et al. [Phys. Rev. Lett. 125, 164501 (2020)10.1103/PhysRevLett.125.164501] reported the evidence that vortex reconnections in quantum fluids follow an irreversible dynamics, namely, vortices separate faster than they approach; such time asymmetry is explained by using simple conservation arguments. In this work we develop further these theoretical considerations and provide a detailed study of the vortex reconnection process for all the possible geometrical configurations of the order parameter (superfluid) wave function. By matching the theoretical description of incompressible vortex filaments and the linear theory describing locally vortex reconnections, we determine quantitatively the linear momentum and energy exchanges between the incompressible (vortices) and the compressible (density waves) degrees of freedom of the superfluid. We show theoretically and corroborate numerically, why a unidirectional density pulse must be generated after the reconnection process and why only certain reconnecting angles, related to the rates of approach and separations, are allowed. Finally, some aspects concerning the conservation of center-line helicity during the reconnection process are discussed.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | computational mechanics,modelling and simulation,fluid flow and transfer processes ,/dk/atira/pure/subjectarea/asjc/2200/2206 |
| 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 |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 30 Sep 2020 23:57 |
| Last Modified: | 07 Nov 2024 12:43 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/77051 |
| DOI: | 10.1103/PhysRevFluids.5.104701 |
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