Search Results for author: Y. S. Lee

Found 1 papers, 0 papers with code

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

no code implementations4 Nov 2014 A. A. Miller, J. S. Bloom, J. W. Richards, Y. S. Lee, D. L. Starr, N. R. Butler, S. Tokarz, N. Smith, J. A. Eisner

In sum, the training set includes ~9000 spectra, for which stellar parameters are measured using the SEGUE Stellar Parameters Pipeline (SSPP).

Solar and Stellar Astrophysics Instrumentation and Methods for Astrophysics

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