Understanding Particle Diffusion: Analyzing Scatter Plots in MATLAB

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SUMMARY

This discussion focuses on analyzing particle diffusion through 2D scatter plots in MATLAB, specifically for tracking the movement of insects. The user seeks to quantify the degree of spread of various particle types after a set time, without individual trajectories. Key concepts mentioned include correlation time and diffusion coefficients, with emphasis on the influence of particle density on diffusion behavior, particularly in locusts.

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splinewave
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hi all:
i have some insects/particles that i placed in the center of an arena, and tracked their position after a set period of time. what i can get in MATLAB is a 2d scatter plot (several hundred x,y points). i have several different types of particles that show a larger or smaller degree of spread from the center, and have collected their endpoints (i don't have individual trajectories).

can i do something more interesting to communicate just 'how scattered' these particles are after time t? any good tutorials on this given my data (time 1, distance 0; time 2, distance X)? i think i might not be looking for a "diffusion coefficient", since I'm looking at single particles and not concentrations.

i think i might be looking to understand something called a "correlation time".

Thanks for any ideas
 
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When you say 2d scatter plot, do you mean t, r, θ or equivalent (t, x, y)? If you are tracking insects, do you expect any "clumping" meaning natural attractors (social behavior)? Do you have several different simultaneous insect types? Like predator-prey? Measurement of many individual insects is sufficient to get a diffusion coefficient. Sometimes the diffusion coefficient depends on insect concentration (density), like locusts. Locusts begin swarming when a critical density is reached. See

http://www.k8science.org/news/news.cfm?art=2564

Bob S
 

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