ML regressors trained on APOGEE DR17 red giants predict C, O, Mg, Si abundances from kinematics and [Fe/H] more accurately than [Fe/H] baseline, with external validation on HARPS FGK dwarfs and reproduction of Galactic chemical evolution trends.
Stellar atmospheric parameters of target stars with SteParSyn
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Long-term spectroscopy of GJ 436 shows activity modulated by the planet's orbit, yielding a 6-110 G estimate for the warm Neptune's magnetic field via a new geometrical model.
The CARMENES-PLUS cooling system upgrade achieved 0.67 m/s intrinsic RV precision in the NIR channel, with nightly zero-point scatter reduced from 6.1 to 3.9 m/s and median stellar scatter from 8.8 to 6.7 m/s for slow rotators.
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Inferring stellar metallicity and elemental abundances from kinematic and spectroscopic data using machine learning -- Implications for exoplanet host stars
ML regressors trained on APOGEE DR17 red giants predict C, O, Mg, Si abundances from kinematics and [Fe/H] more accurately than [Fe/H] baseline, with external validation on HARPS FGK dwarfs and reproduction of Galactic chemical evolution trends.
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Planet-induced Periodic Modulation of Stellar Activity in GJ~436: Insights into a Warm Neptune's Magnetic Field
Long-term spectroscopy of GJ 436 shows activity modulated by the planet's orbit, yielding a 6-110 G estimate for the warm Neptune's magnetic field via a new geometrical model.
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Improving radial velocity precision with CARMENES-PLUS:An upgrade of the near-infrared spectrograph cooling system
The CARMENES-PLUS cooling system upgrade achieved 0.67 m/s intrinsic RV precision in the NIR channel, with nightly zero-point scatter reduced from 6.1 to 3.9 m/s and median stellar scatter from 8.8 to 6.7 m/s for slow rotators.