Exploring the Morphology of RAVE Stellar Spectra
G. Matijevic, T. Zwitter, O. Bienayme, J. Bland-Hawthorn, C. Boeche,, K. C. Freeman, B. K. Gibson, G. Gilmore, E. K. Grebel, A. Helmi, U. Munari,, J. Navarro, Q. A. Parker, W. Reid, G. Seabroke, A. Siebert, A. Siviero, M., Steinmetz, F.G. Watson, M. Williams, R. F. G. Wyse

TL;DR
This paper introduces a morphological classification of over 350,000 RAVE stellar spectra using locally linear embedding, revealing the distribution of normal and peculiar stars and correlating spectral features with stellar parameters.
Contribution
The study applies a dimensionality reduction technique to classify and analyze a large stellar spectral dataset, identifying peculiar stars and linking spectral morphology to stellar properties.
Findings
Majority (~90-95%) of spectra are normal single stars.
Significant populations of spectroscopic binaries and chromospherically active stars identified.
Spectral shape correlates with temperature, gravity, and metallicity.
Abstract
The RAdial Velocity Experiment (RAVE) is a medium resolution R~7500 spectroscopic survey of the Milky Way which 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 which identifies normal single stars and discovers different types of peculiar stars. To this end we present a morphological classification of 350,000 RAVE survey stellar spectra using locally linear embedding, a dimensionality reduction method which 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 ~90-95% belong to normal single stars, but there is also a significant population of several types of peculiars. Among them…
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