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Methods of Ex Situ and In Situ Investigations of Structural Transformations: The Case of Crystallization of Metallic Glasses
Published on: June 7, 2018
Renormalization group study of marginal ferromagnetism.
Andrea Cavagna1, Antonio Culla2, Tomás S Grigera3
1Istituto Sistemi Complessi, Consiglio Nazionale delle Ricerche, UOS Sapienza, 00185 Rome, Italy; Dipartimento di Fisica, Università Sapienza, 00185 Rome, Italy; and INFN, Unità di Roma 1, 00185 Rome, Italy.
Researchers explored a marginal ferromagnetic model to explain collective motion in biological systems like starling flocks. This model reveals a critical point where correlations diverge, enhancing order as temperature decreases.
Area of Science:
- Statistical Physics
- Collective Behavior
- Complex Systems
Background:
- Ferromagnetic systems provide a theoretical framework for studying collective motion and imitation in biological groups.
- Scale-free correlations in starling flock speed fluctuations challenge standard ferromagnetic models, which predict finite correlation lengths in ordered phases.
Purpose of the Study:
- To develop and analyze an effective field theory for a marginal ferromagnetic model near its zero-temperature critical point.
- To reconcile the observed scale-free correlations in biological systems with theoretical frameworks in statistical physics.
Main Methods:
- Derivation of an effective field theory for the marginal model.
- Calculation of renormalization group equations at one-loop using a momentum shell approach.
- Monte Carlo simulations to study modulus susceptibility in three dimensions.
Main Results:
- The marginal model exhibits a zero-temperature critical point where the modulus correlation length diverges.
- Renormalization group analysis reveals non-vanishing cubic and quartic vertices in the infrared limit.
- The upper critical dimension for critical exponents ν and η is found to be d_c=2, leading to free values (ν=1/2, η=0) in three dimensions.
Conclusions:
- The marginal ferromagnetic model successfully explains the anomaly of scale-free correlations in biological collective motion.
- Theoretical predictions are numerically verified by Monte Carlo simulations, confirming the adapted finite-size scaling relations for d>d_c.
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