Whether the derivatives are artifacts of python numpy library's np.gradient() function, the derivatives inherit the Composite's properties. In taking the derivative, the density of coordinates redistribute more symmetrically across the x-axis. Also this results in spacing where visual observation can better discern possibilities of moment within context of a frame-by-frame ordering.
The implication of 'motion' necessarily integrating back to the Composite did not immediately register.
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