CoRoT 101095286 , the SIMBAD biblio

CoRoT 101095286 , the SIMBAD biblio (13 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.16CEST22:55:34


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Title First 3 Authors
2009A&A...506..501C viz 165       D S   X         4 209 31 Planetary transit candidates in CoRoT-LRc01 field. CABRERA J., FRIDLUND M., OLLIVIER M., et al.
2011PASP..123..536D 15       D               1 23 0 A method to identify and characterize binary candidates - A study of Corot data. DA SILVA R. and SILVA-VALIO A.
2019ApJ...879...69T viz 16       D               1 222610 141 The Payne: self-consistent ab initio fitting of stellar spectra. TING Y.-S., CONROY C., RIX H.-W., et al.
2019AJ....158..147H viz 16       D               1 44781 43 Spectrophotometric parallaxes with linear models: accurate distances for luminous red-giant stars. HOGG D.W., EILERS A.-C. and RIX H.-W.
2020AJ....160..120J viz 16       D               1 365763 238 APOGEE data and spectral analysis from SDSS Data Release 16: seven years of observations including first results from APOGEE-South. JONSSON H., HOLTZMAN J.A., ALLENDE PRIETO C., et al.
2020ApJ...900....4S viz 16       D               1 121537 14 The age distribution of stars in the Milky Way bulge. SIT T. and NESS M.K.
2020ApJ...901..109H viz 16       D               1 45439 31 Exploring the stellar age distribution of the Milky Way bulge using APOGEE. HASSELQUIST S., ZASOWSKI G., FEUILLET D.K., et al.
2021A&A...651A..84M viz 17       D               1 11678 30 The Gaia-ESO survey: Mixing processes in low-mass stars traced by lithium abundance in cluster and field stars. MAGRINI L., LAGARDE N., CHARBONNEL C., et al.
2022AJ....163..152S viz 17       D               1 583193 11 APOGEE Net: An Expanded Spectral Model of Both Low-mass and High-mass Stars. SPRAGUE D., CULHANE C., KOUNKEL M., et al.
2022ApJS..259...35A viz 17       D               1 611005 320 The Seventeenth Data Release of the Sloan Digital Sky Surveys: Complete Release of MaNGA, MaStar, and APOGEE-2 Data. ABDURRO'UF, ACCETTA K., AERTS C., et al.
2023A&A...671A..61N viz 17       D               1 39409 4 The Gaia-ESO Survey: Preparing the ground for 4MOST and WEAVE galactic surveys Chemical evolution of lithium with machine learning. NEPAL S., GUIGLION G., DE JONG R.S., et al.
2023A&A...676A.129H viz 17       D               1 114943 ~ The Gaia-ESO Survey: Homogenisation of stellar parameters and elemental abundances. HOURIHANE A., FRANCOIS P., WORLEY C.C., et al.
2024A&A...692A.228C viz 18       D               1 49864 ~ Inferring stellar parameters and their uncertainties from high-resolution spectroscopy using invertible neural networks. CANDEBAT N., SACCO G.G., MAGRINI L., et al.

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