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

Traven, G. LU ; Matijevič, G. ; Zwitter, T. ; Žerjal, M. ; Kos, J. ; Asplund, M. LU ; Bland-Hawthorn, J. ; Casey, A. R. ; De Silva, G. and Freeman, K. , et al. (2017) In Astrophysical Journal, Supplement Series 228(2).
Abstract

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... (More)

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, Hμ/Hβ emission, Hμ/Hβ emission superimposed on absorption, Hμ/Hβ P-Cygni, Hμ/Hβ 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.

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publishing date
type
Contribution to journal
publication status
published
subject
keywords
binaries: general, catalogs, methods: data analysis, stars: activity, stars: peculiar, surveys
in
Astrophysical Journal, Supplement Series
volume
228
issue
2
article number
24
publisher
IOP Publishing
external identifiers
  • scopus:85014831098
ISSN
0067-0049
DOI
10.3847/1538-4365/228/2/24
language
English
LU publication?
no
id
9426575d-f5cb-44de-be03-05a40de1c87b
date added to LUP
2019-05-30 00:04:00
date last changed
2022-04-11 12:19:48
@article{9426575d-f5cb-44de-be03-05a40de1c87b,
  abstract     = {{<p>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, Hμ/Hβ emission, Hμ/Hβ emission superimposed on absorption, Hμ/Hβ P-Cygni, Hμ/Hβ 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.</p>}},
  author       = {{Traven, G. and Matijevič, G. and Zwitter, T. and Žerjal, M. and Kos, J. and Asplund, M. and Bland-Hawthorn, J. and Casey, A. R. and De Silva, G. and Freeman, K. and Lin, J. and Martell, S. L. and Schlesinger, K. J. and Sharma, S. and Simpson, J. D. and Zucker, D. B. and Anguiano, B. and Da Costa, G. and Duong, L. and Horner, J. and Hyde, E. A. and Kafle, P. R. and Munari, U. and Nataf, D. and Navin, C. A. and Reid, W. and Ting, Y. S.}},
  issn         = {{0067-0049}},
  keywords     = {{binaries: general; catalogs; methods: data analysis; stars: activity; stars: peculiar; surveys}},
  language     = {{eng}},
  month        = {{02}},
  number       = {{2}},
  publisher    = {{IOP Publishing}},
  series       = {{Astrophysical Journal, Supplement Series}},
  title        = {{The Galah Survey : Classification and Diagnostics with t-SNE Reduction of Spectral Information}},
  url          = {{http://dx.doi.org/10.3847/1538-4365/228/2/24}},
  doi          = {{10.3847/1538-4365/228/2/24}},
  volume       = {{228}},
  year         = {{2017}},
}