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Abstract
Anomalous diffusion, the deviation of particle spreading from Brownian motion, is common in soft matter and biology. This paper introduces a robust criterion for identifying anomalous diffusion using power spectral analysis of single trajectories. The criterion's robustness is tested against measurement errors and validated with various experimental data exhibiting both normal and anomalous diffusion.
Publisher
COMMUNICATIONS PHYSICS
Published On
Nov 28, 2022
Authors
Vittoria Sposini, Diego Krapf, Enzo Marinari, Raimon Sunyer, Felix Ritort, Fereydoon Taheri, Christine Selhuber-Unkel, Rebecca Benelli, Matthias Weiss, Ralf Metzler, Gleb Oshanin
Tags
anomalous diffusion
Brownian motion
power spectral analysis
experimental validation
measurement errors
soft matter
biology
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