33 citations · 34 across the 3 of their papers we have counts for
3 papers
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…
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…
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…