On a walk up the mountain to MPIA, Rix and I discussed quantitatively the question of whether stellar oscillations could be used as clocks, to measure kinematics, pulsar timing, stellar companions, and so on. We got results that make me optimistic. I started to write some words about doing this in practice using the Kepler data. It all hinges on the quality factor—the coherence of the oscillation modes—and the signal-to-noise ratio at which they are detected in the full data set.
Later in the day, Fadely showed early results from his machine learning applied to SDSS colors (to predict imaging morphology, in service of star–galaxy separation). He is basically going to throw everything he has at that. Mykytyn finished making more robust estimates of quasar lightcurve covariance properties and we started to discuss a hierarchical inference on the hyperparameters of those.