NGC 869 542 , the SIMBAD biblio

NGC 869 542 , the SIMBAD biblio (11 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.16CEST08:42:38


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Title First 3 Authors
2001AJ....122..248K viz 1746 62 UBVI and Hα photometry of the h and χ Persei cluster. KELLER S.C., GREBEL E.K., MILLER G.J., et al.
2002ApJ...576..880S viz 4554 110 The star formation history and mass function of the double cluster h and χ Persei. SLESNICK C.L., HILLENBRAND L.A. and MASSEY P.
2008ApJ...672..558C viz 15       D               1 635 91 The rise and fall of debris disks: MIPS observations of h and χ Persei and the evolution of Mid-IR emission from planet formation. CURRIE T., KENYON S.J., BALOG Z., et al.
2017A&A...598A.108L viz 16       D               1 303 4 Variability survey of brightest stars in selected OB associations. LAUR J., KOLKA I., EENMAE T., et al.
2018AJ....156..241H viz 16       D               1 311106 199 A first catalog of variable stars measured by the Asteroid Terrestrial-impact Last Alert System (ATLAS). HEINZE A.N., TONRY J.L., DENNEAU L., et al.
2020MNRAS.497.3381G 494     A D     X   F     12 37 3 Searching for eclipsing binaries in the area of RA: 02h21m36s, Dec: +57*11'32''. GUO D.-F., LI K., GAO X., et al.
2021ApJS..254...10L viz 17       D               1 694 37 Statistics of 700 individually studied W UMa stars. LATKOVIC O., CEKI A. and LAZAREVIC S.
2022MNRAS.512.1244C 17       D               1 203 15 New low mass ratio contact binaries in the Catalina Sky Survey. CHRISTOPOULOU P.-E., LALOUNTA E., PAPAGEORGIOU A., et al.
2023A&A...674A..16M viz 17       D               1 2184478 19 Gaia Data Release 3 The first Gaia catalogue of eclipsing-binary candidates. MOWLAVI N., HOLL B., LECOEUR-TAIBI I., et al.
2023A&A...674A..34G viz 17       D               1 307215 85 Gaia Data Release 3 Stellar multiplicity, a teaser for the hidden treasure. GAIA COLLABORATION, ARENOU F., BABUSIAUX C., et al.
2024AJ....167..192D viz 18       D               1 1374 ~ Detection of Contact Binary Candidates Observed By TESS Using the Autoencoder Neural Network. DING X., SONG Z., WANG C., et al.

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