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...
Main Authors: | Maximilian Seyrich, Zahra Alirezaeizanjani, Carsten Beta, Holger Stark |
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Format: | Article |
Language: | English |
Published: |
IOP Publishing
2018-01-01
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Series: | New Journal of Physics |
Subjects: | |
Online Access: | https://doi.org/10.1088/1367-2630/aae72c |
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