Non-zero mean walks

At the end of the summer I played around with walks driven by non-zero mean random variables.  To account for the drift, I got an estimate of the mean of the random variable generating the walk, and then I subtracted that estimate accordingly from each time step.  The results show that our previous work for zero-mean driven walks extends to non-zero mean driven walks.

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For more information (code, math etc.), see the PDF of my notebook.

Figures for Poster

I created what is essentially a rough draft library for MSD plot generation.  I wanted to make sure we could generate whatever calibration curves or heat maps we needed for the poster, so I strung together a series of functions that will generate data and plot the corresponding calibration curves (with or without corrections) and heat maps for walks generated by any (zero mean) distribution available to Julia.  It's not very user friendly at the moment as you need to understand the functions and their parameters to plot anything, but it works and it's what we used to generate the figures on our poster.