2020-12-18

scope for a paper on regression and stellar spectral variability

As my loyal reader knows, Lily Zhao (Yale) has had great success with improving extreme precision radial-velocity measurements. In her latest work, she shows that she can use regression to predict radial velocity measurements from shape changes in the spectrum, independent of (or even orthogonal to) pure Doppler shifts. Under cross-validation, the regression can improve the scatter in the measured radial velocities. Today with Megan Bedell (Flatiron) we scoped a paper for these results. We want to show that the regression is a baby step towards something like doppler imaging spectroscopy, in which we would build a model of the full, rotating stellar surface in order to correct for it and see just the center-of-mass motion of the star. If we want to make that argument, we need a source for realistic simulated stellar spectra from a real, spotty, rotating star.

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