Papers › ATHOS: On-the-fly stellar parameter determination of FGK stars based on flux ratios...
ATHOS: On-the-fly stellar parameter determination of FGK stars based on flux ratios from optical spectra
Michael Hanke, Camilla Juul Hansen, Andreas Koch, Eva K. Grebel
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Tools for the spectroscopic determination of fundamental stellar parameters should not only comprise customized solutions for one particular survey or instrument, but, in order to enable cross-survey comparability, they should also be capable of dealing with spectra from a variety of spectrographs, resolutions, and wavelength coverages. To meet these ambitious specifications, we developed ATHOS (A Tool for HOmogenizing Stellar parameters), a fundamentally new analysis tool that adopts computationally inexpensive analytical relations tying flux ratios (FRs) of designated wavelength regions in optical spectra to the stellar parameters effective temperature (T_(eff)), iron abundance ([Fe/H]), and surface gravity (logg). Our T_(eff) estimator is based on FRs from nine pairs of wavelength ranges around the Balmer lines Hβ and Hα, while for [Fe/H] and logg we provide 31 and 11 FRs between 4800 {\AA} and 6500 \AA. The analytical relations employing these FRs were trained on 124 real spectra of a benchmark sample that covers a large parameter space of T_(eff)≈ 4000 to 6500 K, [Fe/H] ≈ -4.5 to 0.3 dex, and logg≈ 1 to 5 dex, which also reflects ATHOS' range of applicability. The method's accuracies are merely bounded by finite uncertainties in the training sample parameters, while its internal precisions can be better by up to 70%. We tested ATHOS on six independent large surveys, amongst which are the Gaia-ESO and the SDSS/SEGUE surveys. The exceptionally low execution time (<30 ms/spectrum) together with a comparison to the literature parameters showed that ATHOS can successfully achieve its main objectives, i.e. fast stellar parameterization with cross-survey validity, high accuracy, and high precision. These are key to homogenize the output from future surveys, such as 4MOST or WEAVE. [abridged]
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