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Statistical parameter inference of bacterial swimming strategies

We provide a detailed stochastic description of the swimming motion of an E.coli bacterium in two dimension, where we resolve tumble events in time. For this purpose, we set up two Langevin equations for the orientation angle and speed dynamics. Calculating moments, distribution and autocorrelation...

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Bibliografische gegevens
Hoofdauteurs: Maximilian Seyrich, Zahra Alirezaeizanjani, Carsten Beta, Holger Stark
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: IOP Publishing 2018-01-01
Reeks:New Journal of Physics
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Online toegang:https://doi.org/10.1088/1367-2630/aae72c
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