期刊
ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES
卷 200, 期 2, 页码 -出版社
IOP PUBLISHING LTD
DOI: 10.1088/0067-0049/200/2/14
关键词
methods: numerical; stars: peculiar; techniques: spectroscopic
资金
- Australian Astronomical Observatory
- Leibniz-Institut fuer Astrophysik Potsdam (AIP)
- Australian National University
- Australian Research Council
- French National Research Agency
- German Research Foundation [SPP 1177, SFB 881]
- European Research Council [ERC-StG 240271]
- Istituto Nazionale di Astrofisica at Padova
- Johns Hopkins University
- National Science Foundation of the USA [AST-0908326]
- W. M. Keck Foundation
- Macquarie University
- Netherlands Research School for Astronomy
- Natural Sciences and Engineering Research Council of Canada
- Slovenian Research Agency
- Swiss National Science Foundation
- Science and Technology Facilities Council of the UK
- Opticon
- Strasbourg Observatory
- University of Groningen
- University of Heidelberg
- University of Sydney
- Direct For Mathematical & Physical Scien
- Division Of Astronomical Sciences [0908326] Funding Source: National Science Foundation
- Science and Technology Facilities Council [ST/H00243X/1, ST/J001538/1] Funding Source: researchfish
- UK Space Agency [PP/D006570/1, ST/I000852/1, ST/K00056X/1] Funding Source: researchfish
- STFC [ST/J001538/1] Funding Source: UKRI
The RAdial Velocity Experiment (RAVE) is a medium-resolution (R similar to 7500) spectroscopic survey of the Milky Way that has already obtained over half a million stellar spectra. They present a randomly selected magnitude-limited sample, so it is important to use a reliable and automated classification scheme that identifies normal single stars and discovers different types of peculiar stars. To this end, we present a morphological classification of similar to 350,000 RAVE survey stellar spectra using locally linear embedding, a dimensionality reduction method that enables representing the complex spectral morphology in a low-dimensional projected space while still preserving the properties of the local neighborhoods of spectra. We find that the majority of all spectra in the database (similar to 90%-95%) belong to normal single stars, but there is also a significant population of several types of peculiars. Among them, the most populated groups are those of various types of spectroscopic binary and chromospherically active stars. Both of them include several thousands of spectra. Particularly the latter group offers significant further investigation opportunities since activity of stars is a known proxy of stellar ages. Applying the same classification procedure to the sample of normal single stars alone shows that the shape of the projected manifold in two-dimensional space correlates with stellar temperature, surface gravity, and metallicity.
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