Abstract: The Cannon is a data-driven method for determining stellar labels (physical parameters and chemical abundances) from stellar spectra in the context of vast spectroscopic surveys. It fits for the spectral model given training spectra and labels, with the polynomial order for the spectral model decided by the user, infers labels for the test spectra, and provides diagnostic output for monitoring and evaluating the process. It offers SNR-independent continuum normalization, performs well at lower signal-to-noise, and is very accurate.
Credit: Ho, Anna Y. Q.; Ness, Melissa; Hogg, David W.; Rix, Hans-Walter
Preferred citation method: https://ui.adsabs.harvard.edu/abs/2015ApJ...808...16N and https://ui.adsabs.harvard.edu/abs/2017ApJ...836....5H