講演情報
[11p-C310-6]Most Probable Path of an active Brownian particle
in a Gaussian optical trap
〇(DC)Khate Cuaresma Bayer1, Kento Yasuda2, Kenta Ishimoto3, Mark Nolan Confesor1 (1.MSU - IIT, 2.Nihon Univ., 3.Kyoto Univ.)
キーワード：
ABP Modelling of active particles、Self-thermophoretic Janus particles、Onsager-Machlup variational principle
Laser trapping and optical manipulation offer powerful means of controlling the dynamics of active particles, but accurately validating the phenomenological models used to describe their motion remains a significant challenge due to the stochastic nature of individual trajectories. Recent approaches have addressed this issue by comparing Onsager-Machlup (O-M) predictions of the most probable path with measured exit rates from simulations or experiments following the tubular path ensemble framework. In this work, we extend this to an active Brownian particle (ABP) model of a Janus particle in a Gaussian optical trap where both its propulsion speed and orientational torque depend on the local light intensity. The most probable path (MPP) is derived using both the O-M variational principle and tubular path ensemble, providing a trajectory-level benchmark for validating active matter models. The results demonstrate how MPP analysis can be used to validate and refine phenomenological descriptions of laser-controlled active particles, offering insights for the design and optimization of optically driven microscale systems.