SMSS J051008.62-372019.8 , the SIMBAD biblio

SMSS J051008.62-372019.8 , the SIMBAD biblio (10 results) C.D.S. - SIMBAD4 rel 1.8 - 2024.04.24CEST09:44:55


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Title First 3 Authors
2015ApJ...807..171J viz 16       D               1 131 106 High-resolution spectroscopic study of extremely metal-poor star candidates from the SkyMapper survey. JACOBSON H.R., KELLER S., FREBEL A., et al.
2018ApJ...857...46I viz 16       D               1 205 88 The initial mass function of the first stars inferred from extremely metal-poor stars. ISHIGAKI M.N., TOMINAGA N., KOBAYASHI C., et al.
2018MNRAS.478.4513B viz 16       D               1 342691 271 The GALAH Survey: second data release. BUDER S., ASPLUND M., DUONG L., et al.
2018AJ....156..179R viz 99       D       C       6 90 63 Kinematics of highly r-process-enhanced field stars: evidence for an accretion origin and detection of several groups from disrupted satellites. ROEDERER I.U., HATTORI K. and VALLURI M.
2019A&A...632A..62C 84             C       1 261 ~ Inferring the velocity of early massive stars from the abundances of extremely metal-poor stars. CHOPLIN A., TOMINAGA N. and ISHIGAKI M.N.
2020A&A...636A.115D 17       D               2 94 38 Reviving old controversies: is the early Galaxy flat or round?. Investigations into the early phases of the Milky Way's formation through stellar kinematics and chemical abundances. DI MATTEO P., SPITE M., HAYWOOD M., et al.
2021MNRAS.503.2539C viz 17       D               1 479 34 Exploring the Galaxy's halo and very metal-weak thick disc with SkyMapper and Gaia DR2. CORDONI G., DA COSTA G.S., YONG D., et al.
2021MNRAS.506..150B viz 17       D               1 588596 276 The GALAH+ survey: Third data release. BUDER S., SHARMA S., KOS J., et al.
2022ApJ...930...47H 18       D               3 72 6 The GALAH Survey: A New Sample of Extremely Metal-poor Stars Using a Machine-learning Classification Algorithm. HUGHES A.C.N., SPITLER L.R., ZUCKER D.B., et al.
2023ApJ...946...48H 112       D     X         3 181 5 Finding r-II Sibling Stars in the Milky Way with the Greedy Optimistic Clustering Algorithm. HATTORI K., OKUNO A. and ROEDERER I.U.

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