neighborhood placement

[Samuel-Buteau]

the sampling of cycles and protocols is done by placing neighborhoods across the span of the data.

Previously, this was done to smooth the data. But now, nothing really dictates where we put the neighborhoods.

The first 100 cycles is tricky to get right, so is the last cycles.

So we can try to rewrite this system to correctly emphasize these important regions.

[Samuel-Buteau]

simplified the code to get 10 equally spaced centers and then each engulfs a range big enough the get overlap.