A Machine Learning Method to Infer Fundamental Stellar Parameters from Photometric Light Curves

4 Nov 2014A. A. MillerJ. S. BloomJ. W. RichardsY. S. LeeD. L. StarrN. R. ButlerS. TokarzN. SmithJ. A. Eisner

A fundamental challenge for wide-field imaging surveys is obtaining follow-up spectroscopic observations: there are > $10^9$ photometrically cataloged sources, yet modern spectroscopic surveys are limited to ~few x $10^6$ targets. As we approach the Large Synoptic Survey Telescope (LSST) era, new algorithmic solutions are required to cope with the data deluge... (read more)

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