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

Autor:	Sarfati, Raphael, Blawzdziewicz, Jerzy, Dufresne, Eric R.
Rok vydání:	2016
Předmět:	Condensed Matter - Soft Condensed Matter
Druh dokumentu:	Working Paper
Popis:	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.
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1608.07827 Zobrazit plný text záznamu View this record from Arxiv