I arrived today at #AAS233. I'm here mainly for the Hack Together Day (which is tomorrow), but I did go to some exoplanet talks. One nice example was Molly Kosiarek (UCSC) who talked about a small planet in some K2 data. She fit Gaussian Processes to the K2 light curve and used that to determine kernel parameters for a quasi-periodic stochastic process. She then used those kernel parameters to fit the radial-velocity data to improve her constraints on the planet mass. She writes more in this paper. Her procedure involves quite a few assumptions, but it is cool because it is a kernel-learning problem, and she was explicitly invoking an interesting kind of generalizability (learning on light curve, applying to spectroscopy).
Late in the day I had a conversation with Jonathan Bird (Nashville) about the challenges of getting projects done. And another with Chris Lintott (Oxford) about scientific communication on the web and in the journals.
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