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Event rate for each Cs value
Plot average event rate as a function of excess concentration at the surface Cs. (Notice this is independent of R.)
This can be used to inform a sensible choice for the integration timestep in explicit poisson sampling.
Evaluate theoretical SNR at estimated values of S
Meaning:
In order for a bacterium with given properties (speed, sensory timescale, chemotactic precision...) to observe a phycosphere S as large as that estimated by the KS approach, it would need to be able to resolve signals with the SNR threshold reported in the figure
Redefine parameter space incrementally
The parameter space (R, Cs) should be recreated exactly from the provided scripts. Especially important for the poisson sampling simulations.
Add `N`, `U` to global constants
There will be no repeated simulations with different values so might as well be set constant
To-do
Analysis
- Test effect of empirical cutoffs on S
- #7
- Estimate count distributions from waiting times data
- Test effect of T on sensing by rebinning waiting times data
Simulation
- 3D run-tumble with Kolmogorov-Smirnov sensing
Visualization
- Heatmap of S normalized by spatial resolution U*T
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