9 citations · 13 across the 5 of their papers we have counts for
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astro-ph.IM2024★ 2 cited
The Survey of Surveys: machine learning for stellar parametrization
A. Turchi, E. Pancino, F. Rossi +6
We present a machine learning method to assign stellar parameters (temperature, surface gravity, metallicity) to the photometric data of large photometric surveys such as SDSS and…
astro-ph.GA2024★ 9 cited
SpectroTranslator: a deep-neural network algorithm to homogenize spectroscopic parameters
G. F. Thomas, G. Battaglia, F. Gran +8
The emergence of large spectroscopic surveys requires homogenising on the same scale the quantities they measure in order to increase their scientific legacy. We developed the Spec…