Single-Trajectory Characterization of Active Swimmers in a Flow
arXiv:2012.04528 · doi:10.1103/PhysRevE.103.032608
Abstract
We develop a maximum likelihood method to infer relevant physical properties of elongated active particles. Using individual trajectories of advected swimmers as input, we are able to accurately determine their rotational diffusion coefficients and an effective measure of their aspect ratio, also providing reliable estimators for the uncertainties of such quantities. We validate our theoretical construction using numerically generated active trajectories upon no-flow, simple shear, and Poiseuille flow, with excellent results. Being designed to rely on single-particle data, our method eases applications in experimental conditions where swimmers exhibit a strong morphological diversity. We briefly discuss some of such ongoing experimental applications, specifically, in the characterization of swimming E.coli in a flow.
References in corpus (15)
- How far from equilibrium is active matter?
- Enhanced diffusion due to active swimmers at a solid surface
- Irreversibility in active matter systems: Fluctuation theorem and mutual information
- Artificial Rheotaxis
- Fluctuations and Rheology in Active Bacterial Suspensions
- Towards a statistical mechanical theory of active fluids
- Probing an nonequilibrium Einstein relation in an aging colloidal glass
- Induced Diffusion of Tracers in a Bacterial Suspension: Theory and Experiments
- Entrainment dominates the interaction of microalgae with micron-sized objects
- Learning force fields from stochastic trajectories
- High-Performance Reconstruction of Microscopic Force Fields from Brownian Trajectories
- Swimming bacteria in Poiseuille flow: the quest for active Bretherton-Jeffery trajectories
- Unravelling intermittent features in single particle trajectories by a local convex hull method
- Lagrangian 3D tracking of fluorescent microscopic objects in motion
- Statistical parameter inference of bacterial swimming strategies