BD+02 174 , the SIMBAD biblio

BD+02 174 , the SIMBAD biblio (10 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.16CEST13:07:11

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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
1990Ap&SS.166...59S 155 0 First experience in automatic spectral classification related to the MEGA program. SHVELIDZE T.
2015MNRAS.449.1401H viz 16       D               1 3011 6 A large sample of metallic-line star candidates from LAMOST Data Release 1. HOU W., LUO A., YANG H., et al.
2016ApJS..224....2H viz 16       D               1 31769 226 The K2 ecliptic plane input catalog (EPIC) and stellar classifications of 138,600 targets in campaigns 1-8. HUBER D., BRYSON S.T., HAAS M.R., et al.
2014ASPC..485..223B viz 15       D               1 465820 45 The JMMC stellar diameters catalog v2 (JSDC): a new release based on SearchCal improvements BOURGES L., LAFRASSE S., MELLA G., et al.
2018A&A...620A.172Z viz 16       D               1 127610 99 3D mapping of young stars in the solar neighbourhood with Gaia DR2. ZARI E., HASHEMI H., BROWN A.G.A., et al.
2019MNRAS.490.3158C viz 16       D               1 465839 28 A catalogue of stellar diameters and fluxes for mid-infrared interferometry. CRUZALEBES P., PETROV R.G., ROBBE-DUBOIS S., et al.
2020ApJS..251...15Z viz 16       D               1 20886 38 Phase II of the LAMOST-Kepler/K2 survey. I. Time series of medium-resolution Spectroscopic observations. ZONG W., FU J.-N., DE CAT P., 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.
2022ApJS..259...63S viz 17       D               1 10269 2 Objective Separation between CP1 and CP2 Based on Feature Extraction with Machine Learning. SHANG L.-H., LUO A.-L., WANG L., et al.

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