The gamma-ray binary LS 5039: mass and orbit constraints from MOST observations
Gordon E. Sarty, Tamas Szalai, Laszlo L. Kiss, Jaymie M. Matthews,, Kinwah Wu, Rainer Kuschnig, David B. Guenther, Anthony F.J. Moffat, Slavek M., Rucinski, Dimitar Sasselov, Werner W. Weiss, Richard Huziak, Helen M., Johnston, Andre Phillips, Michael C.B. Ashley

TL;DR
This study combines space-based photometry and ground-based spectroscopy to refine the orbital and mass parameters of the gamma-ray binary LS 5039, revealing a lower orbital eccentricity and higher component masses than previously estimated.
Contribution
It provides new constraints on the orbital eccentricity and component masses of LS 5039 using combined observational data, improving understanding of its binary system properties.
Findings
Orbital eccentricity is about 0.24, lower than previous estimates.
Component masses are approximately 26 solar masses for the primary and at least 1.8 for the compact star.
Optical variability at the orbital period is below 2 mmag, indicating specific system characteristics.
Abstract
The results of a coordinated space-based photometric and ground-based spectroscopic observing campaign on the enigmatic gamma-ray binary LS 5039 are reported. Sixteen days of observations from the MOST satellite have been combined with high-resolution optical echelle spectroscopy from the 2.3m ANU Telescope in Siding Spring, Australia. These observations were used to measure the orbital parameters of the binary and to study the properties of stellar wind from the O primary. We found that any broad-band optical photometric variability at the orbital period is below the 2 mmag level, supporting the scenario that the orbital eccentricity of the system is near the 0.24 +/- 0.08 value implied by our spectroscopy, which is lower than values previously obtained by other workers. The low amplitude optical variability also implies the component masses are at the higher end of estimates based on…
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.
