Anisotropic anomalous diffusion in microgravity dusty plasma. Part One: Nonextensive Statistical Analysis
Bradley R. Andrew, Luca Guazzotto, Lorin Matthews, Hyde Truell, and E., G. Kostadinova

TL;DR
This study investigates anisotropic anomalous dust diffusion in microgravity dusty plasma using experimental data from the PK-4 facility, revealing a crossover from suprathermal to Lévy diffusion influenced by pressure and electric fields.
Contribution
It applies nonextensive statistical analysis to characterize anisotropic anomalous diffusion in dusty plasma under microgravity conditions, highlighting the effects of electric fields and pressure.
Findings
Crossover from suprathermal to Lévy diffusion observed.
Pressure increases dust thermal equilibrium.
Electric current drives system away from equilibrium.
Abstract
Anisotropic anomalous dust diffusion in microgravity dusty plasma is investigated using experimental data from the Plasmakristall-4 (PK-4) facility on board the International Space Station. The PK-4 experiment uses video cameras to track individual dust particles, which allows the collection of large amounts of statistical information on the dust particle positions and velocities. These statistics are used to quantify anomalous dust diffusion caused by anisotropies in the plasma-mediated dust-dust interactions in PK-4. Anisotropies are caused by an externally applied polarity-switched electric field, which modifies the ion wakefields surrounding the dust grains. Video data for nine sets of pressure-current conditions are used to recover Mean Squared Displacement (MSD) plots after subtracting particle drift. Position and velocity histograms are fitted to Tsallis nonextensive probability…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComplex Systems and Time Series Analysis · Statistical Mechanics and Entropy · Theoretical and Computational Physics
