Heather Knutson (Caltech) arrived for a week of hacking on exoplanet and brown-dwarf spectroscopy. She has a number of things she has brought for our consideration. But the one that seems to be sticking is the inadequacy of her theory-driven or physical tellurics model. It has systematic residuals. We are going to explore options for tweaking the model using a data-driven fit to the residuals. This is a structure that I would like to try also for The Cannon: Instead of making a data-driven model for the stellar spectra, we could make a data-driven model for the residuals of the spectra away from best-fit models. And the parameters for the physics-driven model and the data-driven model could be tied together (or not) in various clever ways. So much idea.
At lunch, Anthony Pullen (NYU) gave a great talk about foreground mitigation in line-intensity mapping experiments. He went through all the kinds of auto-correlations, cross-correlations, and de-correlations that can be done to remove or mitigate foregrounds. The talk reminded me of many conversations I have had over my life about self-calibration, which led me to think about whether we could replace the cross-correlation parts of his model with a kind of self-calibration. Worth thinking about!
Late in the day, Benjamin Pope (NYU) and I came up with a good plan for looking at hot stars in Kepler. We could look at modeling them as a mixture of asteroseismic modes, spacecraft systematics, and planets. And then probably find nothing! But find nothing better than it has been found before. I like that kind of project.
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