2MASS J04210658+2546557 , the SIMBAD biblio

2MASS J04210658+2546557 , the SIMBAD biblio (10 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.18CEST23:45:44


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Title First 3 Authors
2013ApJ...771..110M viz 15       D               1 363 17 B- and A-type stars in the Taurus-Auriga star-forming region. MOOLEY K., HILLENBRAND L., REBULL L., et al.
2015MNRAS.448.2260G viz 16       D               1 32939 53 A photometric selection of white dwarf candidates in Sloan Digital Sky Survey Data Release 10. GENTILE FUSILLO N.P., GANSICKE B.T. and GREISS S.
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.
2019A&A...621A..38G viz 16       D               1 39805 85 The population of hot subdwarf stars studied with Gaia. II. The Gaia DR2 catalogue of hot subluminous stars. GEIER S., RADDI R., GENTILE FUSILLO N.P., et al.
2019MNRAS.486.2169K viz 16       D               1 25030 80 White dwarf and subdwarf stars in the Sloan Digital Sky Survey Data Release 14. KEPLER S.O., PELISOLI I., KOESTER D., et al.
2020A&A...635A.193G viz 16       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.
2021ApJS..256...28L viz 17       D               1 2206 16 Hot subdwarf atmospheric parameters, kinematics, and origins based on 1587 hot subdwarf stars observed in Gaia DR2 and LAMOST DR7. LUO Y., NEMETH P., WANG K., et al.
2022ApJS..259....5T viz 17       D               2 1465 4 A Robust Identification Method for Hot Subdwarfs Based on Deep Learning. TAN L., MEI Y., LIU Z., et al.
2022A&A...662A..40C viz 17       D               2 62976 9 The population of hot subdwarf stars studied with Gaia. IV. Catalogues of hot subluminous stars based on Gaia EDR3. CULPAN R., GEIER S., REINDL N., et al.
2024A&A...691A.223V viz 18       D               1 2819 ~ Advanced classification of hot subdwarf binaries using artificial intelligence techniques and Gaia DR3 data. VISCASILLAS VAZQUEZ C., SOLANO E., ULLA A., et al.

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