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  How tracer particles sample the complexity of turbulence

Lalescu, C. C., & Wilczek, M. (2018). How tracer particles sample the complexity of turbulence. New Journal of Physics, 20: 013001. doi:10.1088/1367-2630/aa8ecd.

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 Creators:
Lalescu, Christian C.1, Author           
Wilczek, Michael1, Author           
Affiliations:
1Max Planck Research Group Theory of Turbulent Flows, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, ou_2266693              

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Free keywords: turbulence; intermittency; particle transport; Eulerian and Lagrangian aspects
 Abstract: Ontheir roller coaster ride through turbulence, tracer particles sample the fluctuations of the underlying fields in space and time. Quantitatively relating particle and field statistics remains a fundamental challenge in a large variety of turbulent flows. Wequantify how tracer particles sample turbulence by expressing their temporal velocity fluctuations in terms of an effective probabilistic sampling of spatial velocity field fluctuations. To corroborate our theory, we investigate an extensive suite of direct numerical simulations of hydrodynamic turbulence covering a Taylor-scale Reynolds number range from 150 to 430. Our approach allows the assessment of particle statistics from the knowledge of flow field statistics only, therefore opening avenues to a new generation of models for transport in complex flows.

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Language(s): eng - English
 Dates: 2018-01-04
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1088/1367-2630/aa8ecd
 Degree: -

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Title: New Journal of Physics
Source Genre: Journal
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Publ. Info: -
Pages: 13 Volume / Issue: 20 Sequence Number: 013001 Start / End Page: - Identifier: -