optimization is hard

Megan Bedell (Flatiron) and I worked on optimization for our radial-velocity measurement pipeline. We did some experimental-coding on scipy optimization routines (which are not documented quite as well as I would like), and we played with our own home-built gradient-descent. It was a roller-coaster, but we still get some unexpected behaviors. Bugs clearly remain, which is good, actually,
because it means that we can only do better than how we are doing now, which is pretty good.

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