BD+56 596 , the SIMBAD biblio

BD+56 596 , the SIMBAD biblio (11 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.16CEST03:52:07


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Title First 3 Authors
1988Ap&SS.147....1G 491 3 2000 A UV imaging of a 6 diameter field around the h and chi Persei double cluster. GOLAY M., RABATTU X., CRAMER N., et al.
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.
2002PASP..114..233U viz 757 14 Membership in the region of the double cluster h and χ Persei working from proper motions and positions: distance moduli and extinction in that galactic direction. URIBE A., GARCIA-VARELA J.-A., SABOGAL-MARTINEZ B.-E., et al.
2004PASP..116..801P 149 15 The complex interstellar na I absorption toward h and χ Persei. POINTS S.D., LAUROESCH J.T. and MEYER D.M.
2010A&A...515A..16S viz 15       D               1 194 29 Photometric multi-site campaign on the open cluster NGC 884. I. Detection of the variable stars. SAESEN S., CARRIER F., PIGULSKI A., et al.
2013AJ....146..102S viz 207       D     X         6 87 13 Pulsating B-type stars in the open cluster NGC 884: frequencies, mode identification, and asteroseismology. SAESEN S., BRIQUET M., AERTS C., et al.
2017A&A...598A.108L viz 16       D               2 303 4 Variability survey of brightest stars in selected OB associations. LAUR J., KOLKA I., EENMAE T., et al.
2018A&A...616A..10G viz 16       D               1 40955 656 Gaia Data Release 2. Observational Hertzsprung-Russell diagrams. GAIA COLLABORATION, BABUSIAUX C., VAN LEEUWEN F., et al.
2020A&A...633A..99C viz 16       D               1 257585 169 Clusters and mirages: cataloguing stellar aggregates in the Milky Way. CANTAT-GAUDIN T. and ANDERS F.
2021ApJ...913...32D viz 17       D               1 5182 ~ Photometric classifications of evolved massive stars: preparing for the era of webb and roman with machine learning. DORN-WALLENSTEIN T.Z., DAVENPORT J.R.A., HUPPENKOTHEN D., et al.

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