activity
20152026
most citedAn Application of Deep Neural Networks in the Analysis of Stellar Spectra

129 citations · 702 across the 44 of their papers we have counts for

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Showing astro-ph.SRShow all

5 papers · 1 filter

astro-ph.SR2025★ 3 cited

The R-Process Alliance: Exploring the cosmic scatter among ten r-process sites with stellar abundances

Mila Racca, Terese T. Hansen, Ian U. Roederer +11

The astrophysical origin of the rapid neutron-capture process (r-process), which produces about half of the elements heavier than iron, remains uncertain. The oldest, most metal-po…

astro-ph.SR2024★ 15 cited

Predicting metallicities and carbon abundances from Gaia XP spectra for (carbon-enhanced) metal-poor stars

Anke Ardern-Arentsen, Sarah G. Kane, Vasily Belokurov +4

Carbon-rich (C-rich) stars can be found at all metallicities and evolutionary stages. They are often the result of mass-transfer from a companion, but some of the most metal-poor C…

astro-ph.SR2024★ 10 cited

Cool and Data-Driven: An Exploration of Optical Cool Dwarf Chemistry with Both Data-Driven and Physical Models

Adam D. Rains, Thomas Nordlander, Stephanie Monty +6

Detailed chemical studies of F/G/K -- or Solar-type -- stars have long been routine in stellar astrophysics, enabling studies in both Galactic chemodynamics, and exoplanet demograp…

astro-ph.SR2023★ 1 cited

The odd bunch: chrono-chemo-dynamics of sixteen unusual stars from Kepler

Arthur Alencastro Puls, Luca Casagrande, Stephanie Monty +4

In this study we combine asteroseismic, spectroscopic and kinematic information to perform a detailed analysis of a sample of 16 stars from the Kepler field. Our selection focuses…

astro-ph.SR2021★ 10 cited

Chemo-dynamics and asteroseismic ages of seven metal-poor red giants from the Kepler field

Arthur Alencastro Puls, Luca Casagrande, Stephanie Monty +5

In this work we combine information from solar-like oscillations, high-resolution spectroscopy and Gaia astrometry to derive stellar ages, chemical abundances and kinematics for a…