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Tracking target and spiral waves
F. G. Jensen1, J. Sporring, M. Nielsen
1Department of Chemistry, University of Copenhagen, Universitetsparken 5, DK-2100 Copenhagen.
Chaos (Woodbury, N.Y.)
|June 5, 2003
Summary
A novel algorithm identifies spiral and target wave patterns in chemical systems by locating the spiral focus, not the tip. This method analyzes wave movement and interactions in chemical reactions like the Belousov-Zhabotinsky reaction.
Area of Science:
- Chemical kinetics
- Pattern formation in chemical systems
- Nonlinear dynamics
Background:
- Spiral and target waves are complex spatio-temporal patterns observed in chemical reactions.
- Analyzing the dynamics and evolution of these waves is crucial for understanding reaction-diffusion systems.
- Existing methods often rely on identifying the spiral tip, which can be challenging in complex systems.
Purpose of the Study:
- Introduce a new algorithm for analyzing spiral and target wave evolution in chemical systems.
- Develop a method to locate the center of wave patterns using the concept of a spiral focus.
- Investigate the movement and correlation of these foci in experimental data.
Main Methods:
- Developed a novel algorithm based on the concept of a spiral focus, defined by the evolutes of waves.
- Employed Gaussian smoothing for robust identification of target and spiral foci, independent of wave profile.
- Applied the algorithm to analyze long image sequences from Belousov-Zhabotinsky reaction experiments.
Main Results:
- Successfully identified moving target and spiral foci in experimental data.
- Quantified the speed and direction of movement for single and double spiral foci.
- Observed that focus movement correlates with neighboring foci, irrespective of their origin.
Conclusions:
- The spiral focus concept provides a robust alternative to spiral tip identification for analyzing wave patterns.
- The developed algorithm enables detailed investigation of wave dynamics and interactions.
- Focus movement in chemical systems exhibits local correlations, offering insights into pattern evolution.