Extracting forces from noisy dynamics in dusty plasmas

Yu, Wentao; Cho, Jonathan; Burton, Justin Clifford

doi:10.1103/physreve.106.035303

Extracting forces from noisy dynamics in dusty plasmas

Journal Article · Fri Sep 09 00:00:00 EDT 2022 · Physical Review. E

DOI:https://doi.org/10.1103/physreve.106.035303· OSTI ID:1886341

Yu, Wentao ^[1]; Cho, Jonathan ^[2]; ^[2]

Emory Univ., Atlanta, GA (United States); Emory University
Emory Univ., Atlanta, GA (United States)

Extracting environmental forces from noisy data is a common yet challenging task in complex physical systems. Machine learning (ML) represents a robust approach to this problem, yet is mostly tested on simulated data with known parameters. Here we use supervised ML to extract the electrostatic, dissipative, and stochastic forces acting on micron-sized charged particles levitated in an argon plasma (dusty plasma). By tracking the sub-pixel motion of particles in subsequent images, we successfully estimated these forces from their random motion. The experiments contained important sources of non-Gaussian noise, such as drift and pixel-locking, representing a data mismatch from methods used to analyze simulated data with purely Gaussian noise. Our model was trained on simulated particle trajectories that included all of these artifacts, and used more than 100 dynamical and statistical features, resulting in a prediction with 50\% better accuracy than conventional methods. Lastly, in systems with two interacting particles, the model provided non-contact measurements of the particle charge and Debye length in the plasma environment.

View Accepted Manuscript (DOE)

Research Organization:: Emory Univ., Atlanta, GA (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Fusion Energy Sciences (FES)

Grant/Contract Number:: SC0021290

OSTI ID:: 1886341

Alternate ID(s):: OSTI ID: 1903138

Journal Information:: Physical Review. E, Journal Name: Physical Review. E Journal Issue: 3 Vol. 106; ISSN 2470-0045

Publisher:: American Physical Society (APS)Copyright Statement

Country of Publication:: United States

Language:: English

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