Correlated random walk and noise suppression in detecting electric fields
Source abstract
Abstract
Detecting a weak electric field in a strong noisy background is always an interesting but hard task. We investigate the collective effects of charged Brownian particles in the presence of a weak electric field together with a strong noisy background field by numerical simulation. We show that the pattern formed by snapshots touched by the Brownian particles on one boundary surface can manifest the direction of an applied weak electric field but will be spoiled if there exists a strong noisy background. Moreover, we find that the influence of noise can be suppressed effectively if the correlations caused by the inter-particle electric interaction are taken into account. This work is expected to provide a new angle of view: correlated random walk plays a constructive role in noise suppression.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Diffusion and Search Dynamics · stochastic dynamics and bifurcation · Statistical Mechanics and Entropy
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Physics, Nankai University 1 , Tianjin 300071, China
School of Physics, Zhejiang University 2 , Hangzhou 310058, People’s Republic of China
Theoretical Physics Division, Chern Institute of Mathematics, Nankai University 3 , Tianjin 300071, China
Collaborative Innovation Center of Advanced Microstructure, Nanjing University 4 , Nanjing 210008, China
Funding
National Key Research and Development Program of China · National Natural Science Foundation of China
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