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arXiv · 1608.07827

Maximum likelihood estimations of force and mobility from short single Brownian trajectories

Raphael Sarfati·Jerzy Blawzdziewicz·Eric R. Dufresne
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Abstract

We describe a method to extract force and diffusion parameters from single trajectories of Brownian particles based on the principle of maximum likelihood. The analysis is well-suited for out-of-equilibrium trajectories, even when a limited amount of data is available and the dynamical parameters vary spatially. We substantiate this method with experimental and simulated data, and discuss its practical implementation, strengths, and limitations.

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Raphael Sarfati, Jerzy Blawzdziewicz, Eric R. Dufresne. 2016-08-28. Maximum likelihood estimations of force and mobility from short single Brownian trajectories. https://arxiv.org/abs/1608.07827

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