Statistics of percolating clusters in a model of photosynthetic bacteria
Autor: | Jean-Christian Anglès d'Auriac, Ferenc Iglói |
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Rok vydání: | 2021 |
Předmět: |
Physics
Photon Statistical Mechanics (cond-mat.stat-mech) Exciton Monte Carlo method FOS: Physical sciences 01 natural sciences Measure (mathematics) Molecular physics 010305 fluids & plasmas Biological Physics (physics.bio-ph) Percolation 0103 physical sciences Cluster (physics) Photosynthetic bacteria Physics - Biological Physics 010306 general physics Energy (signal processing) Condensed Matter - Statistical Mechanics |
DOI: | 10.48550/arxiv.2101.05517 |
Popis: | In photosynthetic organisms, the energy of light during illumination is absorbed by the antenna complexes, which is transmitted by excitons and is either absorbed by the reaction centers (RCs), which have been closed in this way, or emitted by fluorescence. The basic components of the dynamics of light absorption have been integrated into a simple model of exciton migration, which contains two parameters: the exciton hopping probability and the exciton lifetime. During continuous radiation with light the fraction of closed RCs, $x$, continuously increases and at a critical threshold, $x_c$, a percolation transition takes place. Performing extensive Monte Carlo simulations we study the properties of the transition in this correlated percolation model. We measure the spanning probability in the vicinity of $x_c$, as well as the fractal properties of the critical percolating cluster, both in the bulk and at the surface. Comment: 7 pages, 6 figures |
Databáze: | OpenAIRE |
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