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Eugenio Carretta

Researcher at INAF

Publications -  267
Citations -  18197

Eugenio Carretta is an academic researcher from INAF. The author has contributed to research in topics: Globular cluster & Stars. The author has an hindex of 74, co-authored 262 publications receiving 17478 citations. Previous affiliations of Eugenio Carretta include University of Padua & ASTRON.

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Abundance Variations within Globular Clusters

TL;DR: Abundance variations within globular clusters (GCs) and of GC stars with respect to field stars are important diagnostics of a variety of physical phenomena, related to the evolution of individual stars, mass transfer in binary systems, and chemical evolution in high density environments as mentioned in this paper.
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Multiple populations in globular clusters. Lessons learned from the Milky Way globular clusters

TL;DR: Recently, it has been shown that globular clusters are not simple stellar populations, being rather made of multiple generations as mentioned in this paper, leading to a new paradigm for the formation of massive star clusters, which includes several episodes of star formation.
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Multiple populations in globular clusters

TL;DR: Recently, it has been shown that globular clusters are not simple stellar populations, but rather are made up of multiple generations as discussed by the authors, which provides an explanation for the second-parameter problem and opens new perspectives on the relation between globular cluster and the halo of our Galaxy.
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Abundances for globular cluster giants: I. homogeneous metallicities for 24 clusters

TL;DR: In this paper, the authors obtained high resolution, high signal-to-noise ratio CCD echelle spectra of 10 bright red giants in 3 globular clusters (47 Tuc, NGC 6752 and NGC6397) roughly spanning the whole range of metallicities of the galactic globular cluster system.
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Intrinsic iron spread and a new metallicity scale for globular clusters

TL;DR: In this paper, the authors used spectra of about 2000 red giant branch (RGB) stars in 19 Galactic globular clusters (GC) using FLAMES@VLT (about 100 stars with GIRAFFE and about 10 with UVES, respectively, in each GC).