[H25] IV , the SIMBAD biblio

[H25] IV , the SIMBAD biblio (13 results) C.D.S. - SIMBAD4 rel 1.8 - 2024.04.19CEST12:31:14


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Title First 3 Authors
1925ApJ....62..409H 26 160 NGC 6822, a remote stellar system. HUBBLE E.P.
1996AJ....112.1928G 1 28 144 The Local Group dwarf galaxy NGC 6822. I. The stellar content. GALLART C., APARICIO A. and VILCHEZ J.M.
2000AJ....120.3088C 25 30 Spectroscopy of star cluster candidates and H II regions in NGC 6822. CHANDAR R., BIANCHI L. and FORD H.C.
2000PASP..112.1162W 11 22 Hubble space telescope observations of the Hubble clusters in NGC 6822: ages and structure. WYDER T.K., HODGE P.W. and ZUCKER D.B.
2001AJ....122.2490W 15 43 The star formation history of NGC 6822. WYDER T.K.
2006ApJ...652.1170C 35 34 The nature of infrared emission in the Local Group dwarf galaxy NGC 6822 as revealed by Spitzer. CANNON J.M., WALTER F., ARMUS L., et al.
2013A&A...559A..38P 56 31 The expansion of massive young star clusters - observation meets theory. PFALZNER S. and KACZMAREK T.
2017ApJ...835..278S viz 57       D     X         2 175 68 Physical properties of molecular clouds at 2 pc resolution in the low-metallicity dwarf galaxy NGC 6822 and the Milky Way. SCHRUBA A., LEROY A.K., KRUIJSSEN J.M.D., et al.
2017A&A...597A..28B 57       D     X         2 125 55 How can young massive clusters reach their present-day sizes? BANERJEE S. and KROUPA P.
2019MNRAS.490..832J 184       D     X         5 18 ~ The young stellar population of the metal-poor galaxy NGC 6822. JONES O.C., SHARP M.J., REITER M., et al.
2020ApJ...892...91H viz 128           X         3 21 ~ Dusty stellar birth and death in the metal-poor galaxy NGC 6822. HIRSCHAUER A.S., GRAY L., MEIXNER M., et al.
2021MNRAS.507.5106K viz 1019       D     X C F     22 21 7 Massive young stellar objects in the Local Group irregular galaxy NGC 6822 identified using machine learning. KINSON D.A., OLIVEIRA J.M. and VAN LOON J.T.
2022MNRAS.517..140K viz 448           X   F     9 20 1 Massive young stellar objects in the Local Group spiral galaxy M 33 identified using machine learning. KINSON D.A., OLIVEIRA J.M. and VAN LOON J.T.

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