UCAC4 641-065018 , the SIMBAD biblio

UCAC4 641-065018 , the SIMBAD biblio (17 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.16CEST21:01:37

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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
2014A&A...572L...5M viz 15       D               1 1210 165 Mixed modes in red giants: a window on stellar evolution. MOSSER B., BENOMAR O., BELKACEM K., et al.
2016A&A...588A..87V viz 16       D               1 6115 133 Period spacings in red giants. II. Automated measurement. VRARD M., MOSSER B. and SAMADI R.
2016AJ....152....6W viz 16       D               1 3060 13 Calibration of LAMOST stellar surface gravities using the Kepler asteroseismic data. WANG L., WANG W., WU Y., et al.
2016A&A...594A..39F viz 16       D               3 51408 86 Activity indicators and stellar parameters of the Kepler targets. An application of the ROTFIT pipeline to LAMOST-Kepler stellar spectra. FRASCA A., MOLENDA-ZAKOWICZ J., DE CAT P., et al.
2017A&A...600A...1M viz 16       D               1 5166 19 Period spacings in red giants. III. Coupling factors of mixed modes. MOSSER B., PINCON C., BELKACEM K., et al.
2017MNRAS.469.4578H viz 16       D               1 8666 48 Deep learning classification in asteroseismology. HON M., STELLO D. and YU J.
2018MNRAS.475.3633W viz 16       D               1 3727 38 Mass and age of red giant branch stars observed with LAMOST and Kepler. WU Y., XIANG M., BI S., et al.
2018MNRAS.476.3233H viz 16       D               1 15009 17 Deep learning classification in asteroseismology using an improved neural network: results on 15 000 Kepler red giants and applications to K2 and TESS data. HON M., STELLO D. and YU J.
2018ApJS..236...42Y viz 16       D               1 16097 158 Asteroseismology of 16,000 Kepler red giants: global oscillation parameters, masses, and radii. YU J., HUBER D., BEDDING T.R., et al.
2018A&A...618A.109M viz 16       D               1 397 53 Period spacings in red giants. IV. Toward a complete description of the mixed-mode pattern. MOSSER B., GEHAN C., BELKACEM K., 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.
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.
2021AJ....161..170S viz 17       D               1 16187 ~ The Swan: data-driven inference of stellar surface gravities for cool stars from photometric light curves. SAYEED M., HUBER D., WHEELER A., et al.
2021NatAs...5..640M viz 17       D               1 97 65 Chronologically dating the early assembly of the Milky Way. MONTALBAN J., MACKERETH J.T., MIGLIO A., 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.
2022MNRAS.514.2527B 17       D               2 73 12 Age determination of galaxy merger remnant stars using asteroseismology. BORRE C.C., AGUIRRE BORSEN-KOCH V., HELMI A., et al.

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