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Title: The Galah Survey: Classification and Diagnostics with t-SNE Reduction of Spectral Information

Journal Article · · Astrophysical Journal, Supplement Series
; ;  [1];  [2]; ; ; ;  [3]; ; ; ; ;  [4];  [5];  [6];  [7];  [8];  [9];  [10];
  1. Faculty of Mathematics and Physics, University of Ljubljana, Jadranska 19, 1000 Ljubljana (Slovenia)
  2. Leibniz-Institut für Astrophysik Potsdam (AIP), An der Sternwarte 16, D-14482 Potsdam (Germany)
  3. Sydney Institute for Astronomy, School of Physics, A28, The University of Sydney, NSW 2006 (Australia)
  4. Research School of Astronomy and Astrophysics, Australian National University, Canberra, ACT 2611 (Australia)
  5. Institute of Astronomy, University of Cambridge, Madingley Road, Cambridge CB3 0HA (United Kingdom)
  6. School of Physics, University of New South Wales, Sydney, NSW 2052 (Australia)
  7. Research School of Astronomy and Astrophysics, Mount Stromlo Observatory, Cotter Road, Weston Creek, ACT 2611 (Australia)
  8. Australian Astronomical Observatory, North Ryde, NSW 2113 (Australia)
  9. Australian Astronomical Observatory, P.O. Box 915, North Ryde, NSW 1670 (Australia)
  10. Department of Physics and Astronomy, Macquarie University, North Ryde, NSW 2109 (Australia)

Galah is an ongoing high-resolution spectroscopic survey with the goal of disentangling the formation history of the Milky Way using the fossil remnants of disrupted star formation sites that are now dispersed around the Galaxy. It is targeting a randomly selected magnitude-limited ( V ≤ 14) sample of stars, with the goal of observing one million objects. To date, 300,000 spectra have been obtained. Not all of them are correctly processed by parameter estimation pipelines, and we need to know about them. We present a semi-automated classification scheme that identifies different types of peculiar spectral morphologies in an effort to discover and flag potentially problematic spectra and thus help to preserve the integrity of the survey results. To this end, we employ the recently developed dimensionality reduction technique t-SNE ( t -distributed stochastic neighbor embedding), which enables us to represent the complex spectral morphology in a two-dimensional projection map while still preserving the properties of the local neighborhoods of spectra. We find that the majority (178,483) of the 209,533 Galah spectra considered in this study represents normal single stars, whereas 31,050 peculiar and problematic spectra with very diverse spectral features pertaining to 28,579 stars are distributed into 10 classification categories: hot stars, cool metal-poor giants, molecular absorption bands, binary stars, H α /H β emission, H α /H β emission superimposed on absorption, H α /H β P-Cygni, H α /H β inverted P-Cygni, lithium absorption, and problematic. Classified spectra with supplementary information are presented in the catalog, indicating candidates for follow-up observations and population studies of the short-lived phases of stellar evolution.

OSTI ID:
22661347
Journal Information:
Astrophysical Journal, Supplement Series, Vol. 228, Issue 2; Other Information: Country of input: International Atomic Energy Agency (IAEA); ISSN 0067-0049
Country of Publication:
United States
Language:
English

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