Inspection paradox and jump detection in glassy systems
Simone Pigolotti, S\'andalo Rold\'an-Vargas

TL;DR
This paper introduces a parameter-free, model-independent method based on the inspection paradox to detect particle jumps in glassy systems, enabling precise analysis of their dynamics near phase transitions.
Contribution
The authors develop a novel, simple, and general method to identify particle jumps without relying on adjustable parameters, applicable to both simulations and experiments.
Findings
Effective detection of jumps without free parameters
Applicable to a wide range of glassy systems
Reveals characteristic time and length scales of jumps
Abstract
Dynamics in glassy systems near the phase transition is characterized by particle jumps. Approaches to describe these dynamics are based on models in which the time and length scales defining the jumps are parameters to be determined. We instead propose a model-independent method to detect these jumps. Our method uses the theory of the inspection paradox to analyze particle trajectories and reveals the time and length scales defining a jump without free parameters. Given its simplicity and generality, our method can be applied to resolve hopping motion in a broad class of systems, including experimental ones.
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
TopicsSurface Roughness and Optical Measurements · Industrial Vision Systems and Defect Detection · Textile materials and evaluations
