CoRoT 100667041 , the SIMBAD biblio

CoRoT 100667041 , the SIMBAD biblio (20 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.16CEST23:45:51

Sort references on where and how often the object is cited
trying to find the most relevant references on this object.
More on score
Bibcode/DOI Score in Title|Abstract|
Keywords 		in a table in teXt, Caption, ... Nb occurence Nb objects in ref Citations
(from ADS) 		Title First 3 Authors
2009A&A...506..465H viz 15       D               1 776 161 Characteristics of solar-like oscillations in red giants observed in the CoRoT exoplanet field. HEKKER S., KALLINGER T., BAUDIN F., et al.
2015A&A...576L..12C 1 37 131 Young [α/Fe]-enhanced stars discovered by CoRoT and APOGEE: What is their origin? CHIAPPINI C., ANDERS F., RODRIGUES T.S., et al.
2016ApJ...823..114N viz 16       D               1 72935 173 Spectroscopic determination of masses (and implied ages) for red giants. NESS M., HOGG D.W., RIX H.-W., et al.
2016MNRAS.460.3179W viz 16       D               1 77460 19 Distance and extinction determination for APOGEE stars with Bayesian method. WANG J., SHI J., PAN K., et al.
2017A&A...597A..30A viz 16       D               1 607 94 Galactic archaeology with asteroseismology and spectroscopy: Red giants observed by CoRoT and APOGEE. ANDERS F., CHIAPPINI C., RODRIGUES T.S., et al.
2018AJ....156...18P viz 16       D               1 51824 872 Binary companions of evolved stars in APOGEE DR14: search method and catalog of ∼5000 companions. PRICE-WHELAN A.M., HOGG D.W., RIX H.-W., et al.
2018AJ....156...90H viz 16       D               1 18080 37 A new catalog of radial velocity standard stars from the APOGEE data. HUANG Y., LIU X.-W., CHEN B.-Q., et al.
2019ApJ...872..137S viz 16       D               1 26099 39 Constraining metallicity-dependent mixing and extra mixing using [C/N] in alpha-rich field giants. SHETRONE M., TAYAR J., JOHNSON J.A., et al.
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.
2021MNRAS.506..150B viz 17       D               1 588596 276 The GALAH+ survey: Third data release. BUDER S., SHARMA S., KOS J., 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.
2022ApJ...929...33H viz 17       D               1 114072 2 Quantifying Chemical and Kinematical Properties of Galactic Disks. HU G. and SHAO Z.
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.
2023ApJ...950..142H viz 17       D               1 26076 ~ Angular Momentum Variation of the Milky Way Thick Disk: The Dependence of Chemical Abundance and Evidence of the Inside-out Formation Scenario. HU G., SHAO Z. and LI L.
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.

goto View the references in ADS