Saakshi More (NYUAD) came into my office during office hours today to ask about possible data science projects in physics. I pitched to her predicting ESA Gaia RVS spectra from Gaia XP spectra, and vice versa. Has anyone done that? In one direction, you have to predict high resolution detail from low-resolution input; in the other direction, you have to predict a wide wavelength range from narrow input. It seems like perfect for something like a linear auto-encoder (at least for a small patch of the color–magnitude diagram; non-linear for a large patch). Later in the day I talked to Gaby Contardo and she said: If you want to go simple, how about nearest neighbor? Good idea!
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