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Anomalous Self-Organization in Active Piles
Inspired by recent observations on active self-organized critical (SOC) systems, we designed an active pile (or ant pile) model with two ingredients: beyond-threshold toppling and under-threshold active motions. By including the latter component, we were able to replace the typical power-law distrib...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10297200/ https://www.ncbi.nlm.nih.gov/pubmed/37372205 http://dx.doi.org/10.3390/e25060861 |
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author | Nattagh-Najafi, Morteza Nabil, Mohammad Mridha, Rafsun Hossain Nabavizadeh, Seyed Amin |
author_facet | Nattagh-Najafi, Morteza Nabil, Mohammad Mridha, Rafsun Hossain Nabavizadeh, Seyed Amin |
author_sort | Nattagh-Najafi, Morteza |
collection | PubMed |
description | Inspired by recent observations on active self-organized critical (SOC) systems, we designed an active pile (or ant pile) model with two ingredients: beyond-threshold toppling and under-threshold active motions. By including the latter component, we were able to replace the typical power-law distribution for geometric observables with a stretched exponential fat-tailed distribution, where the exponent and decay rate are dependent on the activity’s strength ([Formula: see text]). This observation helped us to uncover a hidden connection between active SOC systems and [Formula: see text]-stable Levy systems. We demonstrate that one can partially sweep [Formula: see text]-stable Levy distributions by changing [Formula: see text]. The system undergoes a crossover towards Bak–Tang–Weisenfeld (BTW) sandpiles with a power-law behavior (SOC fixed point) below a crossover point [Formula: see text]. |
format | Online Article Text |
id | pubmed-10297200 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-102972002023-06-28 Anomalous Self-Organization in Active Piles Nattagh-Najafi, Morteza Nabil, Mohammad Mridha, Rafsun Hossain Nabavizadeh, Seyed Amin Entropy (Basel) Article Inspired by recent observations on active self-organized critical (SOC) systems, we designed an active pile (or ant pile) model with two ingredients: beyond-threshold toppling and under-threshold active motions. By including the latter component, we were able to replace the typical power-law distribution for geometric observables with a stretched exponential fat-tailed distribution, where the exponent and decay rate are dependent on the activity’s strength ([Formula: see text]). This observation helped us to uncover a hidden connection between active SOC systems and [Formula: see text]-stable Levy systems. We demonstrate that one can partially sweep [Formula: see text]-stable Levy distributions by changing [Formula: see text]. The system undergoes a crossover towards Bak–Tang–Weisenfeld (BTW) sandpiles with a power-law behavior (SOC fixed point) below a crossover point [Formula: see text]. MDPI 2023-05-27 /pmc/articles/PMC10297200/ /pubmed/37372205 http://dx.doi.org/10.3390/e25060861 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Nattagh-Najafi, Morteza Nabil, Mohammad Mridha, Rafsun Hossain Nabavizadeh, Seyed Amin Anomalous Self-Organization in Active Piles |
title | Anomalous Self-Organization in Active Piles |
title_full | Anomalous Self-Organization in Active Piles |
title_fullStr | Anomalous Self-Organization in Active Piles |
title_full_unstemmed | Anomalous Self-Organization in Active Piles |
title_short | Anomalous Self-Organization in Active Piles |
title_sort | anomalous self-organization in active piles |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10297200/ https://www.ncbi.nlm.nih.gov/pubmed/37372205 http://dx.doi.org/10.3390/e25060861 |
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