Examinando por Autor "Korn A."

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    MINCE: II. Neutron capture elements
    (EDP Sciences, 2024-06) François P.; Cescutti G.; Bonifacio P.; Caffau E.; Monaco L.; Steffen M.; Puschnig J.; Calura F.; Cristallo S.; Di Marcantonio P.; Dobrovolskas V.; Franchini M.; Gallagher A.J.; Hansen C.J.; Korn A.; Kučinskas A.; Lallement R.; Lombardo L.; Lucertini F.; Magrini L.; Matas Pinto A.M.; Matteucci F.; Mucciarelli A.; Sbordone L.; Spite M.; Spitoni E.; Valentini M.
    Context. Most of the studies on the determination of the chemical composition of metal-poor stars have been focused on the search of the most pristine stars, searching for the imprints of the ejecta of the first supernovae. Apart from the rare and very interesting r-enriched stars, few elements are measurable in the very metal-poor stars. On the other hand, a lot of work has been done also on the thin-disc and thick-disc abundance ratios in a metallicity range from [Fe/H]> -1.5 dex to solar. In the available literature, the intermediate metal-poor stars (-2.5<[Fe/H]< -1.5) have been frequently overlooked. The MINCE (Measuring at Intermediate metallicity Neutron-Capture Elements) project aims to gather the abundances of neutron-capture elements but also of light elements and iron peak elements in a large sample of giant stars in this metallicity range. The missing information has consequences for the precise study of the chemical enrichment of our Galaxy in particular for what concerns neutron-capture elements and it will be only partially covered by future multi object spectroscopic surveys such as WEAVE and 4MOST. Aims. The aim of this work is to study the chemical evolution of galactic sub-components recently identified (i.e. Gaia Sausage Enceladus (GSE), Sequoia). Methods. We used high signal-to-noise ratios, high-resolution spectra and standard 1D LTE spectrum synthesis to determine the detailed abundances. Results. We could determine the abundances for up to 10 neutron-capture elements (Sr, Y, Zr, Ba, La, Ce, Pr, Nd, Sm and Eu) in 33 stars. The general trends of abundance ratios [n-capture element/Fe] versus [Fe/H] are in agreement with the results found in the literature. When our sample is divided in sub-groups depending on their kinematics, we found that the run of [Sr/Ba] versus [Ba/H] for the stars belonging to the GSE accretion event shows a tight anti-correlation. The results for the Sequoia stars, although based on a very limited sample, shows a [Sr/Ba] systematically higher than the [Sr/Ba] found in the GSE stars at a given [Ba/H] hinting at a different nucleosynthetic history. Stochastic chemical evolution models have been computed to understand the evolution of the GSE chemical composition of Sr and Ba. The first conclusions are that the GSE chemical evolution is similar to the evolution of a dwarf galaxy with galactic winds and inefficient star formation. Conclusions. Detailed abundances of neutron-capture elements have been measured in high-resolution, high signal-to-noise spectra of intermediate metal-poor stars, the metallicity range covered by the MINCE project. These abundances have been compared to detailed stochastic models of galactic chemical evolution.
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    The Gaia -ESO Survey: Open clusters in Gaia -DR1: A way forward to stellar age calibration
    (EDP Sciences, 2018-04) Randich S.; Tognelli E.; Jackson R.; Jeffries R.D.; Degl'Innocenti S.; Pancino E.; Fiorentin, P. Re; Spagna A.; Sacco G.; Bragaglia A.; Magrini L.; Moroni, P. G. Prada; Alfaro E.; Franciosini E.; Morbidelli L.; Roccatagliata V.; Bouy H.; Bravi L.; Jiménez-Esteban F.M.; Jordi C.; Zari E.l.; Tautvaišiene G.; Drazdauskas A.; Mikolaitis S.; Gilmore G.; Feltzing S.; Vallenari A.; Bensby T.; Koposov S.; Korn A.; Lanzafame A.; Smiljanic R.; Bayo A.; Carraro G.; Costado M.T.; Heiter U.; Hourihane A.; Jofré P.; Lewis J.; Monaco L.; Prisinzano L.; Sbordone L.; Sousa S.G.; Worley C.C.; Zaggia S.
    Context. Determination and calibration of the ages of stars, which heavily rely on stellar evolutionary models, are very challenging, while representing a crucial aspect in many astrophysical areas. Aims. We describe the methodologies that, taking advantage of Gaia-DR1 and the Gaia-ESO Survey data, enable the comparison of observed open star cluster sequences with stellar evolutionary models. The final, long-term goal is the exploitation of open clusters as age calibrators. Methods. We perform a homogeneous analysis of eight open clusters using the Gaia-DR1 TGAS catalogue for bright members and information from the Gaia-ESO Survey for fainter stars. Cluster membership probabilities for the Gaia-ESO Survey targets are derived based on several spectroscopic tracers. The Gaia-ESO Survey also provides the cluster chemical composition. We obtain cluster parallaxes using two methods. The first one relies on the astrometric selection of a sample of bona fide members, while the other one fits the parallax distribution of a larger sample of TGAS sources. Ages and reddening values are recovered through a Bayesian analysis using the 2MASS magnitudes and three sets of standard models. Lithium depletion boundary (LDB) ages are also determined using literature observations and the same models employed for the Bayesian analysis. Results. For all but one cluster, parallaxes derived by us agree with those presented in Gaia Collaboration (2017, A&A, 601, A19), while a discrepancy is found for NGC 2516; we provide evidence supporting our own determination. Inferred cluster ages are robust against models and are generally consistent with literature values. Conclusions. The systematic parallax errors inherent in the Gaia DR1 data presently limit the precision of our results. Nevertheless, we have been able to place these eight clusters onto the same age scale for the first time, with good agreement between isochronal and LDB ages where there is overlap. Our approach appears promising and demonstrates the potential of combining Gaia and ground-based spectroscopic datasets. © ESO 2018.
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    The Gaia -ESO Survey: Spectroscopic-asteroseismic analysis of K2 stars in Gaia -ESO
    (EDP Sciences, 2020-11) Worley C.C.; Jofré P.; Rendle B.; Miglio A.; Magrini L.; Feuillet D.; Gavel A.; Smiljanic R.; Lind K.; Korn A.; Gilmore G.; Randich S.; Hourihane A.; Gonneau A.; Francois P.; Lewis J.; Sacco G.; Bragaglia A.; Heiter U.; Feltzing S.; Bensby T.; Irwin M.; Gonzalez Solares E.; Murphy D.; Bayo A.; Sbordone L.; Zwitter T.; Lanzafame A.C.; Walton N.; Zaggia S.; Alfaro E.J.; Morbidelli L.; Sousa S.; Monaco L.; Carraro G.; Lardo C.
    Context. The extensive stellar spectroscopic datasets that are available for studies in Galactic Archeaology thanks to, for example, the Gaia-ESO Survey, now benefit from having a significant number of targets that overlap with asteroseismology projects such as Kepler, K2, and CoRoT. Combining the measurements from spectroscopy and asteroseismology allows us to attain greater accuracy with regard to the stellar parameters needed to characterise the stellar populations of the Milky Way. Aims. The aim of this Gaia-ESO Survey special project is to produce a catalogue of self-consistent stellar parameters by combining measurements from high-resolution spectroscopy and precision asteroseismology. Methods. We carried out an iterative analysis of 90 K2@Gaia-ESO red giants. The spectroscopic values of Teff were used as input in the seismic analysis to obtain log  g values. The seismic estimates of log were then used to re-determine the spectroscopic values of Teff and [Fe/H]. Only one iteration was required to obtain parameters that are in good agreement for both methods and, thus, to obtain the final stellar parameters. A detailed analysis of outliers was carried out to ensure a robust determination of the parameters. The results were then combined with Gaia DR2 data to compare the seismic log with a parallax-based log and to investigate instances of variations in the velocity and possible binaries within the dataset. Results. This analysis produced a high-quality catalogue of stellar parameters for 90 red giant stars from K2@Gaia-ESO that were determined through iterations between spectroscopy and asteroseismology. We compared the seismic gravities with those based on Gaia parallaxes to find an offset which is similar to other studies that have used asteroseismology. Our catalogue also includes spectroscopic chemical abundances and radial velocities, as well as indicators for possible binary detections. © ESO 2020.