0000000000320511

AUTHOR

Gianni Marconi

showing 3 related works from this author

Gaia -ESO Survey: Analysis of pre-main sequence stellar spectra

2015

This paper describes the analysis of UVES and GIRAFFE spectra acquired by the Gaia-ESO Public Spectroscopic Survey in the fields of young clusters whose population includes pre-main sequence (PMS) stars. Both methods that have been extensively used in the past and new ones developed in the contest of the Gaia-ESO survey enterprise are available and used. The internal precision of these quantities is estimated by inter-comparing the results obtained by such different methods, while the accuracy is estimated by comparison with independent external data, like effective temperature and surface gravity derived from angular diameter measurements, on a sample of benchmarks stars. Specific strategi…

Accuracy and precisionPopulationFOS: Physical sciencesAstrophysicsAstrophysics::Cosmology and Extragalactic Astrophysicsstars: pre-main sequenceSurveysfundamental parameters [Stars]Astronomical spectroscopysurveysAngular diameterpre-main sequence [Stars]Astrophysics::Solar and Stellar AstrophysicsSurveydata analysis [Methods]educationSolar and Stellar Astrophysics (astro-ph.SR)Astrophysics::Galaxy AstrophysicsAstronomía y AstrofísicaPhysicseducation.field_of_studygeneral [Open clusters and associations][SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph]Astronomy and AstrophysicsStars: fundamental parameterAstronomy and AstrophysicEffective temperatureopen clusters and associations: generalSurface gravitymethods: data analysisAccretion (astrophysics)StarsAstrophysics - Solar and Stellar AstrophysicsMethods: data analysis; Open clusters and associations: general; Stars: fundamental parameters; Stars: pre-main sequence; Surveys; Astronomy and Astrophysics; Space and Planetary ScienceSpace and Planetary Science[SDU]Sciences of the Universe [physics]open clusters and associations: general; surveys ; methods: data analysisAstrophysics::Earth and Planetary Astrophysicsstars: fundamental parametersMethods: data analysi
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The Gaia-ESO Survey: matching chemodynamical simulations to observations of the Milky Way

2017

The typical methodology for comparing simulated galaxies with observational surveys is usually to apply a spatial selection to the simulation to mimic the region of interest covered by a comparable observational survey sample. In this work, we compare this approach with a more sophisticated post-processing in which the observational uncertainties and selection effects (photometric, surface gravity and effective temperature) are taken into account. We compare a 'solar neighbourhood analogue' region in a model MilkyWay-like galaxy simulated with RAMSES-CH with fourth release Gaia-ESO survey data. We find that a simple spatial cut alone is insufficient and that the observational uncertainties …

Matching (statistics)Milky Wayastro-ph.GAFOS: Physical sciencesScale (descriptive set theory)AstrophysicsF500Astrophysics::Cosmology and Extragalactic Astrophysics01 natural sciencesmethods: numerical0103 physical sciencesgalaxies: formation010303 astronomy & astrophysicsSelection (genetic algorithm)Astrophysics::Galaxy AstrophysicsPhysics[PHYS]Physics [physics]numerical [Methods]010308 nuclear & particles physicsgalaxies: evolution - galaxies: formationabundances [Galaxy]Astronomy and AstrophysicsEffective temperatureSurface gravityevolution [Galaxies]Astrophysics - Astrophysics of Galaxiesformation [Galaxies]GalaxyGalaxy: abundanceGalaxies: evolution; Galaxies: formation; Galaxy: abundances; Methods: numerical; Astronomy and Astrophysics; Space and Planetary ScienceSpace and Planetary ScienceAstrophysics of Galaxies (astro-ph.GA)Survey data collectionGalaxy: abundancesmethods: numerical - Galaxy: abundancesgalaxies: evolution[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]
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The Gaia-ESO Survey: The inner disk, intermediate-age open cluster Trumpler 23

2017

Full list of authors: Overbeek, J. C.; Friel, E. D.; Donati, P.; Smiljanic, R.; Jacobson, H. R.; Hatzidimitriou, D.; Held, E. V.; Magrini, L.; Bragaglia, A.; Randich, S.; Vallenari, A.; Cantat-Gaudin, T.; Tautvaišienė, G.; Jiménez-Esteban, F.; Frasca, A.; Geisler, D.; Villanova, S.; Tang, B.; Muñoz, C.; Marconi, G. Carraro, G.; San Roman, I.; Drazdauskas, A.; Ženovienė, R.; Gilmore, G.; Jeffries, R. D.; Flaccomio, E.; Pancino, E.; Bayo, A.; Costado, M. T.; Damiani, F.; Jofré, P.; Monaco, L.; Prisinzano, L.; Sousa, S. G.; Zaggia, S.

open clusters and associations: individual: Trumpler 23stars: abundancesMetallicityFOS: Physical sciencesGalaxy: abundances; Galaxy: disk; Galaxy: formation; Open clusters and associations: individual: Trumpler 23; Stars: abundances; Astronomy and Astrophysics; Space and Planetary ScienceAstrophysics01 natural sciencesGalaxy: diskPhotometry (optics)0103 physical sciencesGalaxy formation and evolutionDisc010303 astronomy & astrophysicsSolar and Stellar Astrophysics (astro-ph.SR)QBPhysics010308 nuclear & particles physicsabundances [Galaxy]Astronomy and AstrophysicsGalactic planeAstrophysics - Astrophysics of GalaxiesRadial velocityStarsindividual: Trumpler 23 [Open clusters and associations]Astrophysics - Solar and Stellar Astrophysicsformation [Galaxy]Space and Planetary ScienceGalaxy: formationAstrophysics of Galaxies (astro-ph.GA)abundances [Stars]Galaxy: abundancesdisk [Galaxy]Open cluster
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