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Barium Abundances from the LAMOST Medium-Resolution Survey Stellar Spectra
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The AMBRE Project: Lead abundance in Galactic stars
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Evidence of extra mixing in field giants as traced by the lithium and carbon isotope ratio
New Generation Stellar Spectral Libraries in the Optical and Near-infrared. I. The Recalibrated UVES-POP Library for Stellar Population Synthesis*
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Chemical characterisation of the X-shooter Spectral Library (XSL): [Mg/Fe] and [Ca/Fe] abundances
Assessing the performance of LTE and NLTE synthetic stellar spectra in a machine learning framework
Spencer Bialek, Sébastien Fabbro, Kim A Venn, et al. Monthly Notices of the Royal Astronomical Society 498(3) 3817 (2020) https://doi.org/10.1093/mnras/staa2582
The Gaia-ESO Survey: Spectroscopic-asteroseismic analysis of K2 stars in Gaia-ESO
To use or not to use synthetic stellar spectra in population synthesis models?
Paula R T Coelho, Gustavo Bruzual and Stéphane Charlot Monthly Notices of the Royal Astronomical Society 491(2) 2025 (2020) https://doi.org/10.1093/mnras/stz3023
Paula Jofré, Ulrike Heiter, Marcelo Tucci Maia, Caroline Soubiran, C. Clare Worley, Keith Hawkins, Sergi Blanco-Cuaresma and Carlos Rodrigo Research Notes of the AAS 2(3) 152 (2018) https://doi.org/10.3847/2515-5172/aadc61
The AMBRE project: searching for the closest solar siblings
Spectroscopy of Dwarf Stars Around the North Celestial Pole
Šarūnas Mikolaitis, Gražina Tautvaišienė, Arnas Drazdauskas, et al. Publications of the Astronomical Society of the Pacific 130(989) 074202 (2018) https://doi.org/10.1088/1538-3873/aabfb6
Gaia–ESO Survey: INTRIGOSS—A New Library of High-resolution Synthetic Spectra
Mariagrazia Franchini, Carlo Morossi, Paolo Di Marcantonio, Miguel Chavez, Gerry Gilmore, Sofia Randich, Ettore Flaccomio, Sergey E. Koposov, Andreas J. Korn, Amelia Bayo, Giovanni Carraro, Andy Casey, Elena Franciosini, Anna Hourihane, Paula Jofré, Carmela Lardo, James Lewis, Laura Magrini, Lorenzo Morbidelli, G. G. Sacco, Clare Worley and Tomaz Zwitter The Astrophysical Journal 862(2) 146 (2018) https://doi.org/10.3847/1538-4357/aaca3c
A Unified tool to estimate Distances, Ages, and Masses (UniDAM) from spectrophotometric data