IU Alumnus Jude Gussman (B.S. 2022) and Marlena Rice from Yale University recently published a demonstration of how machine learning methods can be used to determine stellar temperatures, gravities, line widths, and elemental abundances from spectra that have been imprinted with an iodine spectrum used for radial velocity calibration. They used HIRES spectra obtained from the Keck spectral archive. The methods presented in their work are broadly applicable to any iodine-cell-calibrated spectrograph. Their new spectroscopic pipeline is publicly available.
The paper from Astrophysical Journal Letters is available at https://ui.adsabs.harvard.edu/abs/2024ApJ...961L..24G/abstract
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