Noise and ergodic properties of Brownian motion in an optical tweezer: Looking at regime crossovers in an Ornstein-Uhlenbeck process

Rémi Goerlich, Minghao Li, Samuel Albert, Giovanni Manfredi, Paul-Antoine Hervieux, and Cyriaque Genet
Phys. Rev. E 103, 032132 – Published 19 March 2021

Abstract

We characterize throughout the spectral range of an optical trap the nature of the noise that drives the Brownian motion of an overdamped trapped single microsphere and its ergodicity, comparing experimental, analytical, and simulated data. We carefully analyze noise and ergodic properties (i) using the Allan variance for characterizing the noise and (ii) exploiting a test of ergodicity tailored for experiments done over finite times. We derive these two estimators in the Ornstein-Uhlenbeck low-frequency trapped-diffusion regime and study analytically their evolution toward the high-frequency Wiener-like free-diffusion regime, in very good agreement with simulated and experimental results. This study is performed comprehensively from the free-diffusion to the trapped-diffusion regimes. It also carefully looks at the specific signatures of the estimators at the crossover between the two regimes. This analysis is important to conduct when exploiting optical traps in a metrology context.

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  • Received 29 September 2020
  • Revised 5 January 2021
  • Accepted 15 February 2021

DOI:https://doi.org/10.1103/PhysRevE.103.032132

©2021 American Physical Society

Physics Subject Headings (PhySH)

Statistical Physics & Thermodynamics

Authors & Affiliations

Rémi Goerlich1,2,*, Minghao Li2,*, Samuel Albert2, Giovanni Manfredi1,†, Paul-Antoine Hervieux1,‡, and Cyriaque Genet2,§

  • 1Université de Strasbourg, CNRS, Institut de Physique et Chimie des Matériaux de Strasbourg, UMR 7504, F-67000 Strasbourg, France
  • 2Université de Strasbourg, CNRS, Institut de Science et d'Ingénierie Supramoléculaires, UMR 7006, F-67000 Strasbourg, France

  • *These authors contributed equally.
  • giovanni.manfredi@ipcms.unistra.fr
  • hervieux@ipcms.unistra.fr
  • §genet@unistra.fr

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Issue

Vol. 103, Iss. 3 — March 2021

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