Multivariate analysis of the globular clusters in M87
Sukanta Das, Tanuka Chattopadhyay, Emmanuel Davoust

TL;DR
This study uses multivariate analysis to classify 147 globular clusters in M87, revealing insights into the galaxy's formation history and chemical properties, including evidence for helium enrichment in metal-rich clusters.
Contribution
It introduces a combined use of independent component analysis and K-means clustering to classify globular clusters and infer galaxy formation mechanisms.
Findings
Four distinct globular cluster groups identified
Evidence for a two-phase galaxy formation process
Chemical differences between M87 clusters and those in the Milky Way and M31
Abstract
An objective classification of 147 globular clusters in the inner region of the giant elliptical galaxy M87 is carried out with the help of two methods of multivariate analysis. First independent component analysis is used to determine a set of independent variables that are linear combinations of various observed parameters (mostly Lick indices) of the globular clusters. Next K-means cluster analysis is applied on the independent components, to find the optimum number of homogeneous groups having an underlying structure. The properties of the four groups of globular clusters thus uncovered are used to explain the formation mechanism of the host galaxy. It is suggested that M87 formed in two successive phases. First a monolithic collapse, which gave rise to an inner group of metal-rich clusters with little systematic rotation and an outer group of metal-poor clusters in eccentric…
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