8 citations · 27 across the 14 of their papers we have counts for
5 papers · 1 filter
Payne4GAIN: NLTE Corrections for Red Giants in Milky Way Mapper using H-Band Neural Network Emulators
Pierre Thibodeaux, Alexander P. Ji, Nicholas Storm +12
The majority of spectroscopic surveys assume local thermodynamic equilibrium (LTE) during the modeling of stellar spectra. This assumption begins to break down for luminous stars,…
Evolved stars with inconsistent age estimates: Abundance outliers or mass transfer products?
Polly Frazer, Emily J. Griffith, David W. Hogg +2
In the Milky Way disk there is a strong trend linking stellar age to surface element abundances. Here we explore this relationship with a dataset of 8,803 red-giant and red-clump s…
A Galactic Perspective on the (Unremarkable) Relative Refractory Depletion Observed in the Sun
Rayna Rampalli, James W. Johnson, Melissa K. Ness +5
Over the last two decades, the Sun has been observed to be depleted in refractory elements as a function of elemental condensation temperature (\tcond) relative to of it…
Optical Spectroscopy Reveals Hidden Neutron-capture Elemental Abundance Differences among APOGEE-identified Chemical Doppelgängers
Catherine Manea, Melissa Ness, Keith Hawkins +9
Grouping stars by chemical similarity has the potential to reveal the Milky Way's evolutionary history. The APOGEE stellar spectroscopic survey has the resolution and sensitivity f…
StarFlow: Leveraging Normalizing Flows for Stellar Age Estimation in SDSS-V DR19
Alexander Stone-Martinez, Jon A. Holtzman, Yuxi +6
Understanding the ages of stars is crucial for unraveling the formation history and evolution of our Galaxy. Traditional methods for estimating stellar ages from spectroscopic data…