2MASS J17333281+3144571 , the SIMBAD biblio

2MASS J17333281+3144571 , the SIMBAD biblio (10 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.18CEST09:26:10


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Title First 3 Authors
2013PASP..125..809T viz 15       D               1 160 39 Nearby M, L, and T dwarfs discovered by the Wide-field Infrared Survey Explorer (WISE). THOMPSON M.A., KIRKPATRICK J.D., MACE G.N., et al.
2016ApJ...817..112S viz 16       D               1 20555 25 A proper motion survey using the first sky pass of NEOWISE-reactivation data. SCHNEIDER A.C., GRECO J., CUSHING M.C., et al.
2019MNRAS.485.4423S viz 16       D               1 737 39 The Gaia ultracool dwarf sample - II. Structure at the end of the main sequence. SMART R.L., MAROCCO F., SARRO L.M., et al.
2021A&A...645A.100S viz 17       D               1 1696 44 SPECULOOS: Ultracool dwarf transit survey. Target list and strategy. SEBASTIAN D., GILLON M., DUCROT E., et al.
2021A&A...649A...6G viz 17       D               1 227180 168 Gaia Early Data Release 3. The Gaia Catalogue of Nearby Stars. GAIA COLLABORATION, SMART R.L., SARRO L.M., et al.
2022AJ....163..253T viz 17       D               1 397 8 The Perkins INfrared Exosatellite Survey (PINES) I. Survey Overview, Reduction Pipeline, and Early Results. TAMBURO P., MUIRHEAD P.S., McCARTHY A.M., et al.
2022A&A...664A.111B viz 17       D               1 909 4 Infrared spectroscopy of free-floating planet candidates in Upper Scorpius and Ophiuchus. BOUY H., TAMURA M., BARRADO D., et al.
2022AJ....164..252T viz 17       D               1 129 3 The Perkins INfrared Exosatellite Survey (PINES). II. Transit Candidates and Implications for Planet Occurrence around L and T Dwarfs. TAMBURO P., MUIRHEAD P.S., McCARTHY A.M., et al.
2023AJ....166..103S viz 17       D               2 997 ~ Astrometry and Photometry for ≈1000 L, T, and Y Dwarfs from the UKIRT Hemisphere Survey. SCHNEIDER A.C., MUNN J.A., VRBA F.J., et al.
2025ApJ...992...93Z viz 19       D               1 150 ~ Classifying Cool Dwarfs: Comprehensive Spectral Typing of Field and Peculiar Dwarfs Using Machine Learning. ZHOU T., THEISSEN C.A., FEESER S.J., et al.

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