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The GALAH survey: Improving chemical abundances using star clusters
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Galaxy Spectra neural Network (GaSNet). II. Using deep learning for spectral classification and redshift predictions
Fucheng Zhong, Nicola R Napolitano, Caroline Heneka, Rui Li, Franz Erik Bauer, Nicolas Bouche, Johan Comparat, Young-Lo Kim, Jens-Kristian Krogager, Marcella Longhetti, Jonathan Loveday, Boudewijn F Roukema, Benedict L Rouse, Mara Salvato, Crescenzo Tortora, Roberto J Assef, Letizia P Cassarà, Luca Costantin, Scott M Croom, Luke J M Davies, Alexander Fritz, Guillaume Guiglion, Andrew Humphrey, Emanuela Pompei, Claudio Ricci, et al. Monthly Notices of the Royal Astronomical Society 532(1) 643 (2024) https://doi.org/10.1093/mnras/stae1461
Evolution of lithium in the disc of the Galaxy and the role of novae
Advanced classification of hot subdwarf binaries using artificial intelligence techniques and Gaia DR3 data
C. Viscasillas Vázquez, E. Solano, A. Ulla, M. Ambrosch, M. A. Álvarez, M. Manteiga, L. Magrini, R. Santoveña-Gómez, C. Dafonte, E. Pérez-Fernández, A. Aller, A. Drazdauskas, Š. Mikolaitis and C. Rodrigo Astronomy & Astrophysics 691 A223 (2024) https://doi.org/10.1051/0004-6361/202451247
PySSED: an automated method of collating and fitting stellar spectral energy distributions
3D NLTE Lithium abundances for late-type stars in GALAH DR3
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Beyond Gaia DR3: Tracing the [α/M] – [M/H] bimodality from the inner to the outer Milky Way disc with Gaia-RVS and convolutional neural networks
G. Guiglion, S. Nepal, C. Chiappini, S. Khoperskov, G. Traven, A. B. A. Queiroz, M. Steinmetz, M. Valentini, Y. Fournier, A. Vallenari, K. Youakim, M. Bergemann, S. Mészáros, S. Lucatello, R. Sordo, S. Fabbro, I. Minchev, G. Tautvaišienė, Š. Mikolaitis and J. Montalbán Astronomy & Astrophysics 682 A9 (2024) https://doi.org/10.1051/0004-6361/202347122
Phase curve wavelength dependency as revealed by shape- and geometry- corrected asteroid phase curves
E Wilawer, K Muinonen, D Oszkiewicz, A Kryszczyńska and M Colazo Monthly Notices of the Royal Astronomical Society 531(2) 2802 (2024) https://doi.org/10.1093/mnras/stae1282
The Gaia-ESO Survey: Chemical evolution of Mg and Al in the Milky Way with machine learning
The Pristine survey – XXII. A serendipitous discovery of an extremely Li-rich very metal-poor giant and a new method of 6Li/7Li isotope measurement
T M Sitnova, T Matsuno, Z Yuan, N F Martin, P Banerjee, F Sestito, K A Venn and J I González Hernández Monthly Notices of the Royal Astronomical Society 526(4) 5976 (2023) https://doi.org/10.1093/mnras/stad3141