V* V5663 Sgr , the SIMBAD biblio

V* V5663 Sgr , the SIMBAD biblio (12 results) C.D.S. - SIMBAD4 rel 1.8 - 2024.05.07CEST14:00:49

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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
2008PZ.....28....9B 15       D               2 109 1 RS CVn stars among variables with possible CW classification in the ASAS-3 survey. BERDNIKOV L.N. and PASTUKHOVA E.N.
2013MNRAS.435.1376M 94       D     X         3 75 28 Unveiling new members in five nearby young moving groups. MOOR A., SZABO GY.M., KISS L.L., et al.
2016A&A...594A..63G viz 16       D               1 293 89 The International Deep Planet Survey. II. The frequency of directly imaged giant exoplanets with stellar mass. GALICHER R., MAROIS C., MACINTOSH B., et al.
2016A&A...596A..29M 16       D               1 69 17 The rotation-lithium depletion correlation in the β Pictoris association and the LDB age determination. MESSINA S., LANZAFAME A.C., FEIDEN G.A., et al.
2017A&A...600A..83M viz 97       D   O X C       2 150 9 The β Pictoris association: Catalog of photometric rotational periods of low-mass members and candidate members. MESSINA S., MILLWARD M., BUCCINO A., et al.
2017AJ....154...69S viz 16       D               2 237 80 All-sky Co-moving Recovery Of Nearby Young Members (ACRONYM). II. The β Pictoris Moving Group. SHKOLNIK E.L., ALLERS K.N., KRAUS A.L., et al.
2017AJ....154..245M viz 16       D               1 457 65 A direct imaging survey of Spitzer-detected debris disks: occurrence of giant planets in dusty systems. MESHKAT T., MAWET D., BRYAN M.L., et al.
2017A&A...607A...3M 97       D   O X         3 125 3 The β Pictoris association low-mass members: Membership assessment, rotation period distribution, and dependence on multiplicity. MESSINA S., LANZAFAME A.C., MALO L., et al.
2018MNRAS.475.2955L 82               F     1 117 9 Bayesian assessment of moving group membership: importance of models and prior knowledge. LEE J. and SONG I.
2019MNRAS.489.2189L viz 17       D               1 616 ~ Evaluation of nearby young moving groups based on unsupervised machine learning. LEE J. and SONG I.
2019MNRAS.489.3625C viz 17       D               1 873 34 Chronostar: a novel Bayesian method for kinematic age determination - I. Derivation and application to the β Pictoris moving group. CRUNDALL T.D., IRELAND M.J., KRUMHOLZ M.R., et al.
2020AJ....159..166U viz 17       D               1 615 26 Analysis of membership probability in nearby young moving groups with Gaia DR2. UJJWAL K., KARTHA S.S., MATHEW B., et al.

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