3 papers
physics.data-an2026
Maximum Likelihood Particle Tracking in Turbulent Flows via Sparse Optimization
Griffin M Kearney, Kasey M Laurent, Makan Fardad
Lagrangian particle tracking is essential for characterizing turbulent flows, but inferring particle acceleration from inherently noisy position data remains a significant challeng…
physics.flu-dyn2023
Maximum Likelihood Filtering for Particle Tracking in Turbulent Flows
Griffin M. Kearney, Kasey M. Laurent, Reece V. Kearney
Lagrangian Particle Tracking (LPT) enables practitioners to study various concepts in turbulence by measuring particle positions in flows of interest. This data is subject to measu…
q-bio.QM2021
Turbulence explains the accelerations of an eagle in natural flight
Kasey M. Laurent, Bob Fogg, Tobias Ginsburg +5
Turbulent winds and gusts fluctuate on a wide range of timescales from milliseconds to minutes and longer, a range that overlaps the timescales of avian flight behavior, yet the im…