MODELING THE METALLICITY DISTRIBUTION OF GLOBULAR CLUSTERS

By A. Muratov, O. Gnedin. 2010

236 citations recorded by the source corpus.

Observed metallicities of globular clusters reflect physical conditions in the interstellar medium of their high-redshift host galaxies. Globular cluster systems in most large galaxies display bimodal color and metallicity distributions, which are often interpreted as indicating two distinct modes of cluster formation. The metal-rich and metal-poor clusters have systematically different locations and kinematics in their host galaxies. However, the red and blue clusters have similar internal properties, such as their masses, sizes, and ages. It is therefore interesting to explore whether both metal-rich and metal-poor clusters could form by a common mechanism and still be consistent with the bimodal distribution. We present such a model, which prescribes the formation of globular clusters semi-analytically using galaxy assembly history from cosmological simulations coupled with observed scaling relations for the amount and metallicity of cold gas available for star formation. We assume that massive star clusters form only during mergers of massive gas-rich galaxies and tune the model parameters to reproduce the observed distribution in the Galaxy. A wide, but not the entire, range of model realizations produces metallicity distributions consistent with the data. We find that early mergers of smaller hosts create exclusively blue clusters, whereas subsequent mergers of more massive galaxies create both red and blue clusters. Thus, bimodality arises naturally as the result of a small number of late massive merger events. This conclusion is not significantly affected by the large uncertainties in our knowledge of the stellar mass and cold gas mass in high-redshift galaxies. The fraction of galactic stellar mass locked in globular clusters declines from over 10% at z > 3 to 0.1% at present.

Subfields: Astronomy and Astrophysics, Instrumentation

View Paper: https://www.semanticscholar.org/paper/4a70ba138fe9ed57c246773881984f76e70c541f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Astronomy and Astrophysics

  1. Hans-Walter Rix
  2. Jo Bovy
  3. S. Majewski
  4. J. Kruijssen
  5. I. Minchev
  6. C. Conroy
  7. Timothy C. Beers
  8. Jason Tumlinson

In Instrumentation

  1. J. Kruijssen
  2. S. Majewski
  3. Jason Tumlinson
  4. C. Conroy
  5. Aaron Dotter
  6. Jay Anderson
  7. A. Benson
  8. A. Sarajedini

Citations in the corpus