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Star clusters near and far

Star clusters are fundamental units of stellar feedback and unique tracers of their host galactic properties. In this review, we will first focus on their constituents, i.e. detailed insight into their stellar populations and their surrounding ionised, warm, neutral, and molecular gas. We, then, mov...

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Main Authors: Adamo, Angela (Author) , Zeidler, Peter (Author) , Kruijssen, Diederik (Author) , Chevance, Mélanie (Author) , Gieles, Mark (Author) , Calzetti, Daniela (Author) , Charbonnel, Corinne (Author) , Zinnecker, Hans (Author) , Krause, Martin G. H. (Author)
Format: Article (Journal)
Language:English
Published: 8 June 2020
In: Space science reviews
Year: 2020, Volume: 216, Issue: 4
ISSN:1572-9672
DOI:10.1007/s11214-020-00690-x
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1007/s11214-020-00690-x
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Author Notes:Angela Adamo, Peter Zeidler, J. M. Diederik Kruijssen, Mélanie Chevance, Mark Gieles, Daniela Calzetti, Corinne Charbonnel, Hans Zinnecker, Martin G.H. Krause
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Summary:Star clusters are fundamental units of stellar feedback and unique tracers of their host galactic properties. In this review, we will first focus on their constituents, i.e. detailed insight into their stellar populations and their surrounding ionised, warm, neutral, and molecular gas. We, then, move beyond the Local Group to review star cluster populations at various evolutionary stages, and in diverse galactic environmental conditions accessible in the local Universe. At high redshift, where conditions for cluster formation and evolution are more extreme, we are only able to observe the integrated light of a handful of objects that we believe will become globular clusters. We therefore discuss how numerical and analytical methods, informed by the observed properties of cluster populations in the local Universe, are used to develop sophisticated simulations potentially capable of disentangling the genetic map of galaxy formation and assembly that is carried by globular cluster populations.
Item Description:Gesehen am 26.10.2020
Physical Description:Online Resource
ISSN:1572-9672
DOI:10.1007/s11214-020-00690-x

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