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  1. OA@INAF
  2. PRODOTTI RICERCA INAF
  3. 1 CONTRIBUTI IN RIVISTE (Journal articles)
  4. 1.01 Articoli in rivista
Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12386/28775
Title: The GALAH survey: chemical tagging of star clusters and new members in the Pleiades
Authors: Kos, Janez
Bland-Hawthorn, Joss
Freeman, Ken
Buder, Sven
Traven, Gregor
De Silva, Gayandhi M.
Sharma, Sanjib
Asplund, Martin
Duong, Ly
Lin, Jane
Lind, Karin
Martell, Sarah
Simpson, Jeffrey D.
Stello, Dennis
Zucker, Daniel B.
Zwitter, Tomaž
Anguiano, Borja
Da Costa, Gary
D'ORAZI, VALENTINA 
Horner, Jonathan
Kafle, Prajwal R.
Lewis, Geraint
MUNARI, Ulisse 
Nataf, David M.
Ness, Melissa
Reid, Warren
Schlesinger, Katie
Ting, Yuan-Sen
Wyse, Rosemary
Issue Date: 2018
Journal: MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY 
Number: 473
Issue: 4
First Page: 4612
Abstract: The technique of chemical tagging uses the elemental abundances of stellar atmospheres to 'reconstruct' chemically homogeneous star clusters that have long since dispersed. The GALAH spectroscopic survey - which aims to observe one million stars using the Anglo-Australian Telescope - allows us to measure up to 30 elements or dimensions in the stellar chemical abundance space, many of which are not independent. How to find clustering reliably in a noisy high-dimensional space is a difficult problem that remains largely unsolved. Here, we explore t-distributed stochastic neighbour embedding (t-SNE) - which identifies an optimal mapping of a high-dimensional space into fewer dimensions - whilst conserving the original clustering information. Typically, the projection is made to a 2D space to aid recognition of clusters by eye. We show that this method is a reliable tool for chemical tagging because it can: (i) resolve clustering in chemical space alone, (ii) recover known open and globular clusters with high efficiency and low contamination, and (iii) relate field stars to known clusters. t-SNE also provides a useful visualization of a high-dimensional space. We demonstrate the method on a data set of 13 abundances measured in the spectra of 187 000 stars by the GALAH survey. We recover seven of the nine observed clusters (six globular and three open clusters) in chemical space with minimal contamination from field stars and low numbers of outliers. With chemical tagging, we also identify two Pleiades supercluster members (which we confirm kinematically), one as far as 6° - one tidal radius away from the cluster centre.
URI: http://hdl.handle.net/20.500.12386/28775
URL: https://academic.oup.com/mnras/article-abstract/473/4/4612/4555384
ISSN: 0035-8711
DOI: 10.1093/mnras/stx2637
Bibcode ADS: 2018MNRAS.473.4612K
Fulltext: open
Appears in Collections:1.01 Articoli in rivista

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GALAH survey_PV.pdfPdf editoriale45.04 MBAdobe PDFView/Open
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