Numerical Study of Velocity Statistics in Steady Counterflow Quantum Turbulence
Hiroyuki Adachi, Makoto Tsubota

TL;DR
This study analyzes velocity statistics in steady counterflow quantum turbulence, revealing Gaussian and power-law behaviors in velocity PDFs and the effects of anisotropy on velocity distributions.
Contribution
It provides a detailed numerical analysis of velocity PDFs in quantum turbulence, highlighting the transition point and anisotropic effects.
Findings
Velocity PDF is Gaussian at low velocities.
High-velocity tail follows a $v^{-3}$ power law.
Anisotropy affects velocity distributions parallel and perpendicular to counterflow.
Abstract
We investigate the velocity statistics by calculating the Biot--Savart velocity induced by vortex filaments in steady counterflow turbulence investigated in a previous study [Phys. Rev. B {\bf 81}, 104511 (2010)]. The probability density function (PDF) obeys a Gaussian distribution in the low-velocity region and a power-law distribution in the high-velocity region. This transition between the two distributions occur at the velocity characterized by the mean inter-vortex distance. Counterflow turbulence causes anisotropy of the vortex tangle, which leads to a difference in the PDF for the velocities perpendicular to and parallel to the counterflow.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
