Identification of late-type stars of class I
Maria Messineo

TL;DR
This study evaluates Gaia DR3 parameters for late-type stars of luminosity class I, identifying new red supergiants and classifying their spectral types with high accuracy, highlighting the importance of spectral inspection for accurate classification.
Contribution
It introduces a method combining Gaia DR3 data, infrared photometry, and spectral library comparison to accurately classify late-type supergiants and identify new RSGs.
Findings
15 S-type stars identified by ZrO and LaO features
20 new RSGs confirmed, 6 brighter than AGB limit
K- and M-type classification accurate within two subtypes
Abstract
Aims. Gaia DR3 GSP-Phot and GSP-Spec parameters of known K- and M-type stars with luminosity class I are examined and compared with parameters collected from the literature, to assess their accuracy and their potential for stellar classification of unknown intrinsically bright late-types. Gaia DR3 GSP-Phot and GSP-Spec parameters were generated by the Astrophysical Parameters Inference Software (Apsis). Methods. In the Gaia DR3 catalog, there are about 40,000 entries with Apsis parameters similar to those of known red supergiants, RSGs, good parallaxes, and infrared 2MASS and WISE data. By using parallactic distances, infrared photometry, and variability information, only 203 new entries are found with luminosities and temperatures similar to that of known RSGs and G-band amplitudes smaller than 0.5 mag. Their low-resolution BP/RP spectra are compared with an empirically made spectral…
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.
Taxonomy
TopicsStellar, planetary, and galactic studies · Astronomy and Astrophysical Research · Astronomical Observations and Instrumentation
