deep learning and exoplanet transits

At group meeting, Foreman-Mackey and Wang showed recent results on calibration of K2 and Kepler data, respectively, and Malz showed some SDSS spectra of the night sky. After group meeting, Elizabeth Lamm (NYU) came to ask about possible Data Science capstone projects. We pitched a project on finding exoplanets with Gaia data and another on finding exoplanet transits with deep learning! The latter project was based on Foreman-Mackey's realization that everything that makes convolutional networks great for finding kittens in video also makes them great for finding transits in variable-star light-curves. Bring it on!

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