Classification of field dwarfs and giants in RAVE and its use in stellar stream detection
Rainer J. Klement, Coryn A.L. Bailer-Jones, Burkhard Fuchs,, Hans-Walter Rix, Kester W. Smith

TL;DR
This study develops a method to distinguish dwarfs from giants in RAVE survey data using spectroscopic and photometric features, and re-evaluates a previously claimed stellar stream with improved star classification.
Contribution
It introduces a new classification approach combining mixture models and SVMs for dwarf/giant separation in RAVE data, and reassesses the existence of a stellar stream with this improved classification.
Findings
Infrared bands alone do not effectively separate dwarfs and giants.
Contamination of giant classification remains above 20% even with multiple features.
Re-analysis shows a marginal overdensity at the KFR08 stream's position, questioning its significance.
Abstract
An efficient separation between dwarfs and giants in surveys of bright stars is important, especially for studies in which distances are estimated through photometric parallax relations. We use the available spectroscopic log g estimates from the second RAVE data release (DR2) to assign each star a probability for being a dwarf or subgiant/giant based on mixture model fits to the log g distribution in different color bins. We further attempt to use these stars as a labeled training set in order to classify stars which lack log g estimates into dwarfs and giants with a SVM algorithm. We assess the performance of this classification against different choices of the input feature vector. In particular, we use different combinations of reduced proper motions, 2MASS JHK, DENIS IJK and USNO-B B2R2 apparent magnitudes. Our study shows that -- for our color ranges -- the infrared bands alone…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
