activity
20192026
most citedDouble frame Tomographic PTV at high seeding densities

27 citations · 29 across the 5 of their papers we have counts for

collaborators

6 papers

physics.flu-dyn2026

Finding a reconnection in a vortex-haystack

Abhishek Harikrishnan, Benjamin Musci, Adrien Lopez +8

Counter-rotating vortex reconnection is a topology-transforming event that leads to strong vorticity amplification and is often associated with the most irregular regions of the ve…

physics.flu-dyn2026

The Excess Dissipation of Energy in a Turbulent Boundary-Layer and its Departure from Log-Normality

Benjamin Musci, Sebastien Aumaitre, Enzo Francisco +2

We investigate turbulent dissipation in a von Karman flow using PIV and Diffusing Wave Spectroscopy measurements to directly compare bulk and wall dynamics. While bulk dissipation…

physics.flu-dyn2025★ 2 cited

Experimental measurement of the vorticity-strain alignment around extreme energy transfer events

Benjamin Musci, Berengere Dubrulle, Jean LeBris +5

This work experimentally explores the alignment of the vorticity vector and the strain-rate tensor eigenvectors at locations of extreme upscale and downscale energy transfer. We sh…

nlin.CD2025

Spontaneous stochasticity in a 3d Weierstrass-ABC flow

Antoine Barlet, Adam Cheminet, Bérengère Dubrulle +1

Chaotic systems are characterised by exponential separation between close-by trajectories, which in particular leads to deterministic unpredictability over an infinite time-window.…

physics.flu-dyn2021

On Lagrangian Intermittency from 4-D Particle Tracking Velocimetry measurements of a turbulent von Kármán flow

Valentina Valori, Paul Debue, Adam Cheminet +9

We investigate the ability of 4D Particle Tracking Velocimetry measurements at high particle density to explore intermittency and irreversibility in a turbulent swirling flow at va…

physics.flu-dyn2019★ 27 cited

Double frame Tomographic PTV at high seeding densities

Philippe Cornic, Benjamin Leclaire, Frédéric Champagnat +4

A novel method performing 3D PTV from double frame multi-camera images is introduced. Particle velocities are estimated by following three steps. Firstly, separate particle reconst…