4MOST Consortium Survey 4: Milky Way Disc and Bulge High-Resolution Survey (4MIDABLE-HR)
T. Bensby, M. Bergemann, J. Rybizki, B. Lemasle, L. Howes, M. Kovalev,, O. Agertz, M. Asplund, P. Barklem, C. Battistini, L. Casagrande, C., Chiappini, R. Church, S. Feltzing, D. Ford, O. Gerhard, I. Kushniruk, G., Kordopatis, K. Lind, I. Minchev, P. McMillan, H.-W. Rix, N. Ryde

TL;DR
The 4MIDABLE-HR survey aims to collect high-resolution spectra of two million stars in the Milky Way's disc and bulge, providing detailed chemical and kinematic data to understand galaxy formation and evolution.
Contribution
This survey provides an unprecedented large dataset of high-resolution stellar spectra, enabling detailed chemical and kinematic analysis of the Milky Way's disc and bulge.
Findings
High-resolution spectra for 2 million stars
Precise radial velocities and elemental abundances
Synergies with Gaia and TESS for comprehensive analysis
Abstract
The signatures of the formation and evolution of a galaxy are imprinted in its stars. Their velocities, ages, and chemical compositions present major constraints on models of galaxy formation, and on various processes such as the gas inflows and outflows, the accretion of cold gas, radial migration, and the variability of star formation activity. Understanding the evolution of the Milky Way requires large observational datasets of stars via which these quantities can be determined accurately. This is the science driver of the 4MOST MIlky way Disc And BuLgE High-Resolution (4MIDABLE-HR) survey: to obtain high-resolution spectra at and to provide detailed elemental abundances for large samples of stars in the Galactic disc and bulge. High data quality will allow us to provide accurate spectroscopic diagnostics of two million stellar spectra: precise radial velocities;…
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.
