FBS 1554+403 , the SIMBAD biblio

FBS 1554+403 , the SIMBAD biblio (11 results) C.D.S. - SIMBAD4 rel 1.8 - 2024.04.20CEST07:50:43


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Title First 3 Authors
1990Afz....33..213A viz 103 14 The first Byurakan spectral sky survey. Blue stellar objects. II. Zone Delta = +39deg. ABRAHAMIAN H.V., LIPOVETSKY V.A., MICKAELIAN A.M., et al.
2004A&A...426..367M viz 1102 9 DSS1/DSS2 astrometry for 1101 First Byurakan Survey blue stellar objects: Accurate positions and other results. MICKAELIAN A.M.
2008AJ....136..946M viz 15       D               1103 15 Revised and updated catalogue of the First Byurakan Survey blue stellar objects. MICKAELIAN A.M.
2008Ap.....51...37S 90       D       C       2 66 1 Spectral observations of blue stellar objects from FBS in the zone δ =+39 deg. SINAMYAN P.K. and MICKAELIAN A.M.
2011MNRAS.417.1210G viz 15       D               1 16849 120 DA white dwarfs in Sloan Digital Sky Survey Data Release 7 and a search for infrared excess emission. GIRVEN J., GANSICKE B.T., STEEGHS D., et al.
2015MNRAS.452..765G viz 16       D               1 1185 8 An independent test of the photometric selection of white dwarf candidates using LAMOST DR3. GENTILE FUSILLO N.P., REBASSA-MANSERGAS A., GANSICKE B.T., et al.
2017A&A...600A..50G viz 16       D               5613 59 The population of hot subdwarf stars studied with Gaia. I. The catalog of known hot subdwarf stars. GEIER S., OSTENSEN R.H., NEMETH P., et al.
2020A&A...635A.193G viz 17       D               2 6177 44 The population of hot subdwarf stars studied with Gaia. III. Catalogue of known hot subdwarf stars: Data Release 2. GEIER S.
2020A&A...640A..40H viz 60       D     X         2 1016 21 A plethora of new, magnetic chemically peculiar stars from LAMOST DR4. HUMMERICH S., PAUNZEN E. and BERNHARD K.
2021MNRAS.503.3828B 17       D               4 184 12 A search for variable subdwarf B stars in TESS Full Frame Images - II. Variable objects in the northern ecliptic hemisphere. BARAN A.S., SAHOO S.K., SANJAYAN S., et al.
2022ApJS..259...63S viz 18       D               1 10264 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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