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OverviewAstronomers are at a crucial point in our understanding of the Milky Way. Deciphering the assembly history of our galaxy requires detailed mapping of the structure, dynamics, chemical composition, and age distribution of its stellar populations. In the last decade, astrometric, spectroscopic, photometric, and asteroseismic surveys have started to unveil the inner- and outermost regions of the Milky Way. IAU Symposium 334 explores the still open questions and focusses on the concepts emerging from the analysis of these large, new, and complex datasets. This volume presents a summary of these topics, including the current novel data and the challenges they already pose to modeling, before Gaia end-of-mission, PLATO, and large spectroscopic surveys such as WEAVE and 4MOST are about to start. Graduate students and researchers will learn that, in this golden era of galactic archaeology, we are about to rediscover our galaxy. Full Product DetailsAuthor: Cristina Chiappini , Ivan Minchev , Else Starkenburg , Marica ValentiniPublisher: Cambridge University Press Imprint: Cambridge University Press Dimensions: Width: 18.00cm , Height: 2.30cm , Length: 25.70cm Weight: 0.820kg ISBN: 9781107192348ISBN 10: 110719234 Pages: 500 Publication Date: 13 September 2018 Audience: Professional and scholarly , College/higher education , Professional & Vocational , Postgraduate, Research & Scholarly Format: Hardback Publisher's Status: Active Availability: Available To Order ![]() We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of Contents1. Tracers of the oldest Milky Way fossil records and Halo Assembly; 2. Disentangling mixed populations in the central regions of the Milky Way; 3. Galactic disks – chemodynamical properties and models; 4. Towards ages: Gaia DR1, asteroseismology, and precise abundances; 5. Stellar evolution models and stellar yields; 6. Milky Way potential and disk dynamics; 7. Cosmological simulations of Milky-Way-like galaxies; 8. Challenges in data and modeling; 9. Future outlook.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |