Dynamic scaling in natural swarms
- Autores
- Cavagna, Andrea; Conti, Daniele; Creato, Chiara; Del Castello, Lorenzo; Giardina, Irene; Grigera, Tomás Sebastián; Melillo, Stefania; Parisi, Leonardo; Viale, Massimiliano
- Año de publicación
- 2017
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Collective behaviour in biological systems presents theoretical challenges beyond the borders of classical statistical physics. The lack of concepts such as scaling and renormalization is particularly problematic, as it forces us to negotiate details whose relevance is often hard to assess. In an attempt to improve this situation, we present here experimental evidence of the emergence of dynamic scaling laws in natural swarms of midges. We find that spatio-temporal correlation functions in different swarms can be rescaled by using a single characteristic time, which grows with the correlation length with a dynamical critical exponent z ≈ 1, a value not found in any other standard statistical model. To check whether out-of-equilibrium effects may be responsible for this anomalous exponent, we run simulations of the simplest model of self-propelled particles and find z ≈ 2, suggesting that natural swarms belong to a novel dynamic universality class. This conclusion is strengthened by experimental evidence of the presence of non-dissipative modes in the relaxation, indicating that previously overlooked inertial effects are needed to describe swarm dynamics. The absence of a purely dissipative regime suggests that natural swarms undergo a near-critical censorship of hydrodynamics. Swarms and statistical physics seem like natural bedfellows, but concepts like scaling are yet to prove directly applicable to insect group dynamics. A study of midges suggests they are, and that they may give rise to a new universality class.
Instituto de Física de Líquidos y Sistemas Biológicos - Materia
- Física
- Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by/4.0/
- Repositorio
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/124265
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Dynamic scaling in natural swarmsCavagna, AndreaConti, DanieleCreato, ChiaraDel Castello, LorenzoGiardina, IreneGrigera, Tomás SebastiánMelillo, StefaniaParisi, LeonardoViale, MassimilianoFísicaCollective behaviour in biological systems presents theoretical challenges beyond the borders of classical statistical physics. The lack of concepts such as scaling and renormalization is particularly problematic, as it forces us to negotiate details whose relevance is often hard to assess. In an attempt to improve this situation, we present here experimental evidence of the emergence of dynamic scaling laws in natural swarms of midges. We find that spatio-temporal correlation functions in different swarms can be rescaled by using a single characteristic time, which grows with the correlation length with a dynamical critical exponent z ≈ 1, a value not found in any other standard statistical model. To check whether out-of-equilibrium effects may be responsible for this anomalous exponent, we run simulations of the simplest model of self-propelled particles and find z ≈ 2, suggesting that natural swarms belong to a novel dynamic universality class. This conclusion is strengthened by experimental evidence of the presence of non-dissipative modes in the relaxation, indicating that previously overlooked inertial effects are needed to describe swarm dynamics. The absence of a purely dissipative regime suggests that natural swarms undergo a near-critical censorship of hydrodynamics. Swarms and statistical physics seem like natural bedfellows, but concepts like scaling are yet to prove directly applicable to insect group dynamics. A study of midges suggests they are, and that they may give rise to a new universality class.Instituto de Física de Líquidos y Sistemas Biológicos2017-06-19info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf914-918http://sedici.unlp.edu.ar/handle/10915/124265enginfo:eu-repo/semantics/altIdentifier/issn/1745-2473info:eu-repo/semantics/altIdentifier/issn/1745-2481info:eu-repo/semantics/altIdentifier/arxiv/1611.08201info:eu-repo/semantics/altIdentifier/doi/10.1038/nphys4153info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/Creative Commons Attribution 4.0 International (CC BY 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:29:24Zoai:sedici.unlp.edu.ar:10915/124265Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:29:24.769SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
Dynamic scaling in natural swarms |
title |
Dynamic scaling in natural swarms |
spellingShingle |
Dynamic scaling in natural swarms Cavagna, Andrea Física |
title_short |
Dynamic scaling in natural swarms |
title_full |
Dynamic scaling in natural swarms |
title_fullStr |
Dynamic scaling in natural swarms |
title_full_unstemmed |
Dynamic scaling in natural swarms |
title_sort |
Dynamic scaling in natural swarms |
dc.creator.none.fl_str_mv |
Cavagna, Andrea Conti, Daniele Creato, Chiara Del Castello, Lorenzo Giardina, Irene Grigera, Tomás Sebastián Melillo, Stefania Parisi, Leonardo Viale, Massimiliano |
author |
Cavagna, Andrea |
author_facet |
Cavagna, Andrea Conti, Daniele Creato, Chiara Del Castello, Lorenzo Giardina, Irene Grigera, Tomás Sebastián Melillo, Stefania Parisi, Leonardo Viale, Massimiliano |
author_role |
author |
author2 |
Conti, Daniele Creato, Chiara Del Castello, Lorenzo Giardina, Irene Grigera, Tomás Sebastián Melillo, Stefania Parisi, Leonardo Viale, Massimiliano |
author2_role |
author author author author author author author author |
dc.subject.none.fl_str_mv |
Física |
topic |
Física |
dc.description.none.fl_txt_mv |
Collective behaviour in biological systems presents theoretical challenges beyond the borders of classical statistical physics. The lack of concepts such as scaling and renormalization is particularly problematic, as it forces us to negotiate details whose relevance is often hard to assess. In an attempt to improve this situation, we present here experimental evidence of the emergence of dynamic scaling laws in natural swarms of midges. We find that spatio-temporal correlation functions in different swarms can be rescaled by using a single characteristic time, which grows with the correlation length with a dynamical critical exponent z ≈ 1, a value not found in any other standard statistical model. To check whether out-of-equilibrium effects may be responsible for this anomalous exponent, we run simulations of the simplest model of self-propelled particles and find z ≈ 2, suggesting that natural swarms belong to a novel dynamic universality class. This conclusion is strengthened by experimental evidence of the presence of non-dissipative modes in the relaxation, indicating that previously overlooked inertial effects are needed to describe swarm dynamics. The absence of a purely dissipative regime suggests that natural swarms undergo a near-critical censorship of hydrodynamics. Swarms and statistical physics seem like natural bedfellows, but concepts like scaling are yet to prove directly applicable to insect group dynamics. A study of midges suggests they are, and that they may give rise to a new universality class. Instituto de Física de Líquidos y Sistemas Biológicos |
description |
Collective behaviour in biological systems presents theoretical challenges beyond the borders of classical statistical physics. The lack of concepts such as scaling and renormalization is particularly problematic, as it forces us to negotiate details whose relevance is often hard to assess. In an attempt to improve this situation, we present here experimental evidence of the emergence of dynamic scaling laws in natural swarms of midges. We find that spatio-temporal correlation functions in different swarms can be rescaled by using a single characteristic time, which grows with the correlation length with a dynamical critical exponent z ≈ 1, a value not found in any other standard statistical model. To check whether out-of-equilibrium effects may be responsible for this anomalous exponent, we run simulations of the simplest model of self-propelled particles and find z ≈ 2, suggesting that natural swarms belong to a novel dynamic universality class. This conclusion is strengthened by experimental evidence of the presence of non-dissipative modes in the relaxation, indicating that previously overlooked inertial effects are needed to describe swarm dynamics. The absence of a purely dissipative regime suggests that natural swarms undergo a near-critical censorship of hydrodynamics. Swarms and statistical physics seem like natural bedfellows, but concepts like scaling are yet to prove directly applicable to insect group dynamics. A study of midges suggests they are, and that they may give rise to a new universality class. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-06-19 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Articulo http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
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http://sedici.unlp.edu.ar/handle/10915/124265 |
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eng |
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eng |
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