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      The GALAH Survey: chemical tagging and chrono-chemodynamics of accreted halo stars with GALAH+ DR3 and Gaia eDR3

      1 , 2 , 3 , 4 , 5 , 6 , 7 , 1 , 2 , 8 , 1 , 2 , 2 , 9 , 10 , 11 , 12 , 13 , 1 , 2 , 9 , 2 , 14 , 2 , 15 , 9 , 1 , 2 , 1 , 2 , 9 , 2 , 15 , 2 , 9 , 15 , 16 , 2 , 12 , 17 , 14 , 1 , 2 , 18 , 19 , 2 , 20 , 1 , 21 , 22 , the GALAH collaboration
      Monthly Notices of the Royal Astronomical Society
      Oxford University Press (OUP)

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          ABSTRACT

          Since the advent of Gaia astrometry, it is possible to identify massive accreted systems within the Galaxy through their unique dynamical signatures. One such system, Gaia-Sausage-Enceladus (GSE), appears to be an early ‘building block’ given its virial mass $\gt 10^{10}\, \mathrm{M_\odot }\(at infall (z ∼ 1−3). In order to separate the progenitor population from the background stars, we investigate its chemical properties with up to 30 element abundances from the GALAH+ Survey Data Release 3 (DR3). To inform our choice of elements for purely chemically selecting accreted stars, we analyse 4164 stars with low-α abundances and halo kinematics. These are most different to the Milky Way stars for abundances of Mg, Si, Na, Al, Mn, Fe, Ni, and Cu. Based on the significance of abundance differences and detection rates, we apply Gaussian mixture models to various element abundance combinations. We find the most populated and least contaminated component, which we confirm to represent GSE, contains 1049 stars selected via [Na/Fe] versus [Mg/Mn] in GALAH+ DR3. We provide tables of our selections and report the chrono-chemodynamical properties (age, chemistry, and dynamics). Through a previously reported clean dynamical selection of GSE stars, including \)30 \lt \sqrt{J_R / \, \mathrm{kpc\, km\, s^{-1}}} \lt 55$, we can characterize an unprecedented 24 abundances of this structure with GALAH+ DR3. With our chemical selection we characterize the dynamical properties of the GSE, for example mean $\sqrt{J_R / \, \mathrm{kpc\, km\, s^{-1}}} =$$26_{-14}^{+9}$. We find only $(29\pm 1){{\ \rm per\ cent}}$ of the GSE stars within the clean dynamical selection region. Our methodology will improve future studies of accreted structures and their importance for the formation of the Milky Way.

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          SciPy 1.0: fundamental algorithms for scientific computing in Python

          SciPy is an open-source scientific computing library for the Python programming language. Since its initial release in 2001, SciPy has become a de facto standard for leveraging scientific algorithms in Python, with over 600 unique code contributors, thousands of dependent packages, over 100,000 dependent repositories and millions of downloads per year. In this work, we provide an overview of the capabilities and development practices of SciPy 1.0 and highlight some recent technical developments.
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            Matplotlib: A 2D Graphics Environment

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                Author and article information

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                Journal
                Monthly Notices of the Royal Astronomical Society
                Oxford University Press (OUP)
                0035-8711
                1365-2966
                February 2022
                January 05 2022
                February 2022
                January 05 2022
                December 03 2021
                : 510
                : 2
                : 2407-2436
                Affiliations
                [1 ]Research School of Astronomy & Astrophysics, Australian National University, Canberra ACT 2611, Australia
                [2 ]ARC Centre of Excellence for All Sky Astrophysics in 3 Dimensions (ASTRO 3D), Australia
                [3 ]Department of Astronomy, Stockholm University, AlbaNova University Centre, SE-106 91 Stockholm, Sweden
                [4 ]Department of Astronomy, Columbia University, Pupin Physics Laboratories, New York NY 10027, USA
                [5 ]Center for Computational Astrophysics, Flatiron Institute, 162 Fifth Avenue, New York NY 10010, USA
                [6 ]Lund Observatory, Department of Astronomy & Theoretical Physics, Box 43, SE-221 00 Lund, Sweden
                [7 ]Astrophysics Research Institute, Liverpool John Moores University, 146 Brownlow Hill, Liverpool L3 5RF, UK
                [8 ]Leibniz-Institut für Astrophysik Potsdam (AIP), An der Sternwarte 16, D-14482 Potsdam, Germany
                [9 ]Sydney Institute for Astronomy, School of Physics, The University of Sydney, A28, NSW 2006, Sydney, Australia
                [10 ]Monash Centre for Astrophysics, Monash University, Wellington Rd, Clayton, VIC 3800, Australia
                [11 ]School of Physics and Astronomy, Monash University, Wellington Rd, Clayton, VIC 3800, Australia
                [12 ]Department of Physics & Astronomy, Macquarie University, Sydney NSW 2109, Australia
                [13 ]Istituto Nazionale di Astrofisica, Osservatorio Astronomico di Padova, vicolo dell’Osservatorio 5, I-35122 Padova, Italy
                [14 ]Faculty of Mathematics & Physics, University of Ljubljana, Jadranska 19, 1000 Ljubljana, Slovenia
                [15 ]School of Physics, UNSW, Sydney NSW 2052, Australia
                [16 ]Stellar Astrophysics Centre, Aarhus University, Ny Munkegade 120, DK-8000 Aarhus C, Denmark
                [17 ]Macquarie University Research Centre for Astronomy, Astrophysics & Astrophotonics, Sydney NSW 2109, Australia
                [18 ]Mullard Space Science Laboratory, University College London, Holmbury St. Mary, Dorking, Surrey RH5 6NT, UK
                [19 ]Centre for Astrophysics, University of Southern Queensland, Toowoomba QLD 4350, Australia
                [20 ]Centre for Astrophysics Research, University of Hertfordshire, Hatfield AL10 9AB, UK
                [21 ]Research School of Computer Science, Australian National University, Acton ACT 2601, Australia
                [22 ]Center for Astrophysical Sciences & Department of Physics & Astronomy, The Johns Hopkins University, Baltimore MD 21218, USA
                Article
                10.1093/mnras/stab3504
                6ecae54c-491b-483b-95d4-9a1268d6da86
                © 2021

                https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model

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