RAMSES II - RAMan Search for Extragalactic Symbiotic Stars. Project concept, commissioning, and early results from the science verification phase
R. Angeloni (1,2), D. R. Gon\c{c}alves (3), S. Akras (3), G. Gimeno, (4), R. Diaz (4), J. Scharw\"achter (5), N. E. Nu\~nez (6), G. J. M. Luna, (7,8,9), H. W. Lee (10), J. E. Heo (10), A. B. Lucy (11, 12), M. Jaque, Arancibia (2), C. Moreno (4), E. Chirre (4), S. J. Goodsell (5

TL;DR
RAMSES II is a new photometric tool using narrow-band imaging to identify symbiotic stars in the local universe, overcoming previous diagnostic challenges and enabling more efficient surveys.
Contribution
It introduces a novel photometric method with narrow-band filters to detect symbiotic stars via Raman OVI emission, improving identification efficiency.
Findings
Successfully detected known SySts in crowded fields.
First photometric confirmation of a new SySt, Hen 3-1768.
First detection of Raman OVI emission from LMC 1.
Abstract
Symbiotic stars (SySts) are long-period interacting binaries composed of a hot compact star, an evolved giant star, and a tangled network of gas and dust nebulae. They represent unique laboratories for studying a variety of important astrophysical problems, and have also been proposed as possible progenitors of SNIa. Presently, we know 257 SySts in the Milky Way and 69 in external galaxies. However, these numbers are still in striking contrast with the predicted population of SySts in our Galaxy. Because of other astrophysical sources that mimic SySt colors, no photometric diagnostic tool has so far demonstrated the power to unambiguously identify a SySt, thus making the recourse to costly spectroscopic follow-up still inescapable. In this paper we present the concept, commissioning, and science verification phases, as well as the first scientific results, of RAMSES II - a Gemini…
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.
