The Gaia-ESO survey: mapping the shape and evolution of the radial abundance gradients with open clusters
L. Magrini, C. Viscasillas Vazquez, L. Spina, S. Randich, D. Romano,, E. Franciosini, A. Recio-Blanco, T. Nordlander, V. D'Orazi, M. Baratella, R., Smiljanic, M.L.L. Dantas, L. Pasquini, E.Spitoni, G. Casali, M. Van der, Swaelmen, T. Bensby, E. Stonkute, S. Feltzing. G.G.Sacco

TL;DR
This study uses Gaia-ESO survey data of open clusters to analyze the Galactic radial abundance gradients, their shape, and how they have evolved over time, providing insights into the Galaxy's formation and evolution.
Contribution
It offers a detailed analysis of elemental abundance gradients in open clusters across different ages and Galactocentric radii, revealing minimal evolution over time and the influence of stellar migration.
Findings
The [Fe/H] gradient slope is -0.054 dex/kpc.
Younger clusters in the inner disc show flatter, lower metallicity gradients.
Gradients have remained mostly unchanged over the last few Gyr.
Abstract
The spatial distribution of elemental abundances and their time evolution are among the major constraints to disentangle the scenarios of formation and evolution of the Galaxy. We used the sample of open clusters available in the final release of the Gaia-ESO survey to trace the Galactic radial abundance and abundance to iron ratio gradients, and their time evolution. We selected member stars in 62 open clusters, with ages from 0.1 to about 7~Gyr, located in the Galactic thin disc at Galactocentric radii from about 6 to 21~kpc. We analysed the shape of the resulting [Fe/H] gradient, the average gradients [El/H] and [El/Fe] combining elements belonging to four different nucleosynthesis channels, and their individual abundance and abundance ratio gradients. We also investigated the time evolution of the gradients dividing open clusters in three age bins. The[Fe/H] gradient has a slope of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
