From Surf Wiki (app.surf) — the open knowledge base
14 Sagittae
Binary star system in the constellation Aquila
Binary star system in the constellation Aquila
| b-v = −0.06 | u-b = −0.44
14 Sagittae is a binary star system in the equatorial constellation of Aquila. 14 Sagittae is the Flamsteed designation. It appears as a sixth magnitude star, near the lower limit of visibility to the naked eye, having an apparent visual magnitude of 5.89. The system is located 658 light years away, as determined from its annual parallax shift of . It is moving closer to the Earth with a heliocentric radial velocity of –22 km/s.
This is a single-lined spectroscopic binary with an orbital period of 61.5 days and an eccentricity of 0.49. The visible component is a chemically peculiar mercury-manganese star with a stellar classification of B9p HgMn. It is narrow-lined with a projected rotational velocity of 7 km/s. The star is radiating 292 times the Sun's luminosity from its photosphere at an effective temperature of 13,200 K.
John Flamsteed labelled this star as y Sagittae, but the designation was dropped by later authors and is now largely unknown.
References
References
- "4 Aql".
- {{cite DR3. 1808075236135604736
- {{cite XHIP. 98754
- Wagman, Morton. (2003). "Lost Stars: Lost, Missing, and Troublesome Stars from the Catalogues of Johannes Bayer, Nicholas-Louis de Lacaille, John Flamsteed, and Sundry Others". McDonald & Woodward Publishing Company.
This article was imported from Wikipedia and is available under the Creative Commons Attribution-ShareAlike 4.0 License. Content has been adapted to SurfDoc format. Original contributors can be found on the article history page.
Ask Mako anything about 14 Sagittae — get instant answers, deeper analysis, and related topics.
Research with MakoFree with your Surf account
Create a free account to save articles, ask Mako questions, and organize your research.
Sign up freeThis content may have been generated or modified by AI. CloudSurf Software LLC is not responsible for the accuracy, completeness, or reliability of AI-generated content. Always verify important information from primary sources.
Report