Multiple populations in Globular CLusters

08/01/2019

Multiple populations in Globular Clusters: the Na-O FLAMES survey

The main contributors to this project are Eugenio Carretta and Angela Bragaglia (at OA BO), Raffaele Gratton and Sara Lucatello (at OA Padova), Valentina D’Orazi (Macquarie Univ., AU), but many more researchers both in Bologna, in Italy and worldwide are collaborating (among them Antonio Sollima as post-doc at OA BO).

The Galactic globular clusters are now widely recognized as complex stellar systems, where different  populations (generations) of stars (with small age difference but even hugely different chemical composition) coexist. This is demonstrated by evidence both spectroscopic (peculiar chemistry patterns) and photometric (spread or split evolutionary sequences in the colour-magnitude diagrams).

Among the chemical signatures, the Na-O anticorrelations in GC stars (see figure below) is the most evident and widespread manifestation of the action of proton-burning reactions at high temperature in stars of the first generation, more massive than the ones alive today. The ejecta from these first-generation stars polluted the intracluster gas from which the currently observed second-generation stars formed. Both first and second-generations stars are seen in the GCs.

We are studying the chemical composition of 25 MW GCs using the multi-object, high-resolution spectrograph FLAMES@VLT. We obtain mainly Fe, Na, and O abundances (but also of alpha-elements, Fe-group and neutron-capture elements) from spectra of nearly 3000 stars. This is the largest homogeneous analysis of GCs abundances. It permitted to quantitatively study the Na-O anticorrelation and its relations with clusters’ properties (mass, metallicity, age, location in the Galaxy, horizontal branch morphology, etc). A by-product of  our survey is a new, homogeneous scale of metallicity for GCs, based on high-resolution spectra. Results have been published in a long series of papers starting from 2001 and still on-going.

The Na-O anticorrelation in 20 MW GCs (Gratton, Carretta & Bragaglia 2012, A&ARv, 20, 50)

Analysis of individual clusters

Selected publications