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Signatures of directed and spontaneous flocking
Martino Brambati1, Giuseppe Fava2,3, Francesco Ginelli2,3
1Dipartimento di Scienza e Alta Tecnologia, Universitá degli Studi dell'Insubria, Como 22100, Italy.
Physical Review. E
|September 16, 2022
Summary
This study introduces two new methods to detect directed collective motion, like flocking, using simple dynamic and static measurements. These criteria can identify purposeful movement in biological systems without needing to track environmental cues.
Area of Science:
- Physics of complex systems
- Biological physics
- Statistical mechanics
Background:
- Collective motion, or flocking, is a fundamental emergent phenomenon in biological systems, crucial for processes ranging from cellular migration to animal group behavior.
- Understanding the underlying dynamics of collective movement is essential for interpreting biological processes in both natural and experimental settings.
Purpose of the Study:
- To derive novel scaling relations for fluctuations in collective motion under external fields.
- To establish two distinct, complementary criteria for detecting directed collective motion using dynamical and static signatures.
- To provide methods for identifying purposeful movement without direct correlation to environmental cues.
Main Methods:
- Derivation of scaling relations for the fluctuations of the mean direction of motion.
- Analysis of the static density structure factor to capture static density fluctuations.
- Formulation of criteria based on measurable dynamical and static signatures of collective dynamics.
Main Results:
- Successfully derived scaling relations for key fluctuation measures in the presence of a homogeneous external field.
- Developed two criteria: a static criterion effective in large systems and a dynamical criterion requiring long observation times.
- Demonstrated that these criteria can detect directed motion solely from internal collective dynamics.
Conclusions:
- The derived criteria offer a robust way to detect directed collective motion using easily measurable signatures.
- These methods are particularly valuable for analyzing in vivo experimental data where environments are complex and uncontrolled.
- The findings provide powerful tools for confirming or discovering directed collective motion in diverse biological systems.
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