The SLUGGS Survey: Kinematics for over 2500 Globular Clusters in Twelve Early-type Galaxies
Vincenzo Pota, Duncan A. Forbes, Aaron J. Romanowsky, Jean P. Brodie,, Lee R. Spitler, Jay Strader, Caroline Foster, Jacob A. Arnold, Andrew Benson,, Christina Blom, Jonathan R. Hargis, Katherine L. Rhode, Christopher Usher

TL;DR
This survey of over 2500 globular clusters across twelve early-type galaxies reveals distinct kinematic behaviors between metal-rich and metal-poor subpopulations, highlighting their different dynamical states and relationships with host galaxy properties.
Contribution
It provides the first extensive kinematic analysis of globular cluster subpopulations in multiple galaxies using high-precision spectroscopy and combines new data with literature for comprehensive insights.
Findings
Red GCs are kinematically coupled with host galaxy stars.
Blue GCs exhibit more random motions and are often decoupled from red GCs.
Kinematic differences between subpopulations correlate with galaxy mass.
Abstract
We present a spectro-photometric survey of 2522 extragalactic globular clusters (GCs) around twelve early-type galaxies, nine of which have not been published previously. Combining space-based and multi-colour wide field ground-based imaging, with spectra from the Keck DEIMOS instrument, we obtain an average of 160 GC radial velocities per galaxy, with a high velocity precision of 15 km/s per GC. After studying the photometric properties of the GC systems, such as their spatial and colour distributions, we focus on the kinematics of metal-poor (blue) and metal-rich (red) GC subpopulations to an average distance of ~8 effective radii from the galaxy centre. Our results show that for some systems the bimodality in GC colour is also present in GC kinematics. The kinematics of the red GC subpopulations are strongly coupled with the host galaxy stellar kinematics. The blue GC subpopulations…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
