- PII
- S30345170S0004629925080011-1
- DOI
- 10.7868/S3034517025080011
- Publication type
- Article
- Status
- Published
- Authors
- Volume/ Edition
- Volume 102 / Issue number 8
- Pages
- 641-652
- Abstract
- We performed star counts in the region of the open cluster NGC 3532. The ranges of trigonometric parallaxes and proper motions containing all the stars of the cluster were determined using the stars with 5- and 6-parameter Gaia DR3 solutions. The estimated radius of the cluster was R = 178 3 ¢ ¢ ± and the number of cluster stars was = 2200 40 N ± . We estimate the number of stars with poor astrometric solutions that may be members of the cluster. For this purpose, we analyze the surface density distribution of stars with two-parameter Gaia DR3 solutions, stars with the parameter R > 1.4 UWE , and stars with large relative errors of trigonometric parallaxes in the vicinity of the cluster. We are looking for stars that fall within the area of the color-magnitude diagram occupied by probable members of the NGC 3532 cluster from the Hant-Reffert sample. The radial surface density profile plotted with such stars shows the concentration of stars toward the cluster center. An analysis of the profile yields an estimate of 2150 230 ± stars that may be cluster members. Among these stars, there may be a significant number of unresolved binary and multiple systems.
- Keywords
- рассеянные скопления и ассоциации NGC 3532 статистический метод
- Date of publication
- 01.08.2025
- Year of publication
- 2025
- Number of purchasers
- 0
- Views
- 37
References
- 1. T. Prusti et al., Astron. and Astrophy. 595, id. A1 (2016)
- 2. A. Vallenari et al., Astron. and Astrophys. 674, id. A1 (2023)
- 3. T. Cantat-Gaudin and L. Casamiquela, New Astron. Rev. 99, id. 101696 (2024)
- 4. T. Jerabkova et al., Monthly Not. Roy. Astron. Soc. 489(3), 4418 (2019)
- 5. G. Beccari et al., Monthly Not. Roy. Astron. Soc. 491(2), 2205 (2020)
- 6. V.V. Nikiforova et al., Astron. J. 160(3), id. 142 (2020)
- 7. S. Meingast et al., Astron. and Astrophys. 645, id. A84 (2021)
- 8. F.C. Yeh et al., Astron. J. 157(3), id. 115 (2019)
- 9. S. Röser and E. Schilbach, Astron. and Astrophys. 627, id. A4 (2019)
- 10. X. Ye et al., Astron. J. 162(4), id. 171 (2021)
- 11. S. Bhattacharya et al., Monthly Not. Roy. Astron. Soc. 517(3), 3525 (2022)
- 12. V.M. Danilov and A.F. Seleznev, Astrophys. Bull. 75(4), 407 (2020)
- 13. V.M. Danilov, Astrophys. Bull. 76(1), 55 (2021)
- 14. V.M. Danilov, Astrophys. Bull. 76(3), 269 (2021)
- 15. X. Pang et al., Astron. J. 166(3), id. 110 (2023)
- 16. V.V. Jadhav et al., Astron. J. 162(6), id. 264 (2021)
- 17. X. Pang et al., Astron. J. 166(3), id. 110 (2023)
- 18. A.G.A. Brown et al., Astron. and Astrophys. 616, id. A1 (2018)
- 19. T. Cantat-Gaudin et al., Astron. and Astrophys. 640, id. A1 (2020)
- 20. E.L. Hunt and S. Reffert, Astron. and Astrophys. 673, id. A114 (2023)
- 21. E.L. Hunt and S. Reffert, Astron. and Astrophys. 686, id. A42 (2024)
- 22. M.H. El-Depsey et al., J. Astrophys. and Astron. 44(2), 65 (2023)
- 23. L. Lindegren et al., Astron. and Astrophys. 649, id. A2 (2021)
- 24. W.S. Dias et al., Monthly Not. Roy. Astron. Soc. 504(1), 356 (2021)
- 25. A.F. Seleznev, Monthly Not. Roy. Astron. Soc. 456(4), 3757 (2016)
- 26. B.W. Silverman, Density estimation for statistics and data analysis (London: Chapman and Hall, 1986)
- 27. D. Merritt and B. Tremblay, Astron. J. 108, 514 (1994)
- 28. A.F. Seleznev, Baltic Astronomy 25, 267 (2016)
- 29. A.F. Seleznev, Astron. Rep. 42(2), 153 (1998)
- 30. K.G. Stassun and G. Torres, Astrophys. J. Letters 907(2), id. L33 (2021)
