Characterization of hot populations of Melotte 66 open cluster using Swift/UVOT
K. K. Rao (1), K. Vaidya (1), M. Agarwal (2), A. Panthi (1), V. Jadhav, (3, 4), and A. Subramaniam (3) ((1) Department of physics, Birla Institute, of Technology, Science-Pilani, 333031 Rajasthan, India, (2) Department of, Physics, Kavli Institute for Astrophysics

TL;DR
This study uses ultraviolet and multi-wavelength data to characterize hot stellar populations in the Melotte 66 open cluster, revealing a hot companion to a blue straggler and insights into their formation mechanisms.
Contribution
The paper presents the first identification of a hot companion to a blue straggler in Melotte 66 using Swift/UVOT data, and classifies a BSS as an eclipsing binary, providing new clues on BSS formation.
Findings
Discovered a hot companion to BSS3 with properties consistent with a low-mass white dwarf.
Identified BSS6 as an Algol-type eclipsing binary with a 0.8006-day period.
Found 14 BSS candidates, 2 yellow stragglers, and 1 subdwarf B candidate in Melotte 66.
Abstract
Ultraviolet (UV) wavelength observations have made a significant contribution to our understanding of hot stellar populations of star clusters. Multi-wavelength spectral energy distributions (SEDs) of stars, including ultraviolet observations, have proven to be an excellent tool for discovering unresolved hot companions in exotic stars such as blue straggler stars (BSS), thereby providing helpful clues to constrain their formation mechanisms. Melotte 66 is a 3.4 Gyr old open cluster located at a distance of 4810 pc. We identify the cluster members by applying the ML-MOC algorithm on Gaia EDR3 data. Based on our membership identification, we find 1162 members, including 14 BSS candidates, 2 yellow straggler candidates (YSS), and one subdwarf B candidate (sdB). We generated SEDs for 11 BSS candidates and the sdB candidate using Swift/UVOT data combined with other archival data in the…
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.
