| Issue |
EPL
Volume 142, Number 2, April 2023
|
|
|---|---|---|
| Article Number | 21002 | |
| Number of page(s) | 7 | |
| Section | Statistical physics and networks | |
| DOI | https://doi.org/10.1209/0295-5075/acc96a | |
| Published online | 13 April 2023 | |
Noisy pursuit by a self-steering active particle in confinement(a)
Theoretical Physics of Living Matter, Institute of Biological Information Processing and Institute for Advanced Simulation, Forschungszentrum Jülich and JARA - 52425 Jülich, Germany
(b) E-mail: g.gompper@fz-juelich.de (corresponding author)
Received: 25 January 2023
Accepted: 31 March 2023
The properties of a cognitive, self-propelled, and self-steering particle in the presence of a stationary target are analyzed theoretically and by simulations. In particular, the effects of confinement in competition with activity and steering are addressed. The pursuer is described as an intelligent active Ornstein-Uhlenbeck particle (iAOUP), confined in a harmonic potential. For the free pursuer, we find universal scaling regimes for the pursuer-target distance in terms of the Péclet number and maneuverability. Steering results in a novel constant mean-distance regime, which broadens with increasing maneuverability. Confinement strongly affects the propulsion direction and leads to a scaling at large Péclet numbers similar to that in the absence of confinement, yet with a pronounced dependence on confinement strength.
© 2023 The author(s)
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