Determining Metallicities of Globular Clusters using Simulated Integrated Spectra and Bayesian Statistics
Christoph Euler

TL;DR
This paper introduces a Bayesian method using simulated spectra to determine globular cluster metallicities, revealing insights into color bimodality origins and the effects of stellar dynamics and tidal fields.
Contribution
It develops a novel Bayesian approach with Monte Carlo simulations to separate metallicity and age effects in globular cluster colors, explaining observed bimodalities.
Findings
Colors do not significantly evolve after 4 Gyr.
Color bimodality arises from nonlinearity in color-metallicity relation.
Tidal fields can induce bimodal color distributions.
Abstract
Using Monte Carlo simulations of globular clusters we developed a method separating metallicity effects from age effects on observed integrated ugriz colors. We demonstrate that these colors do not evolve with time significantly after an age of 4 Gyr and use Bayesian statistics to calculate a probability distribution function of the metallicity. We tested the method using the M31 globular cluster system and then applied to explain the observed color bimodality in globular cluster sets and tidal effects on it. We show that the color bimodality is an effect of a nonlinearity in the color-metallicity relation caused by stellar dynamics on the Giant Branch, that colors including only the UV show a weaker bimodality than those subtracting from visual bands and that cluster sets with a distinct bimodality are in principle older than those with only a weak bimodal distribution. Furthermore a…
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Taxonomy
TopicsAtmospheric Ozone and Climate · Marine and coastal ecosystems
