Photometric Analysis of the Open Star Clusters IC 1442, King 21, and Trumpler 7 using TOPCAT Tools with Machine Learning Techniques and ASteCA

Authors

• Amaal Turki Alghamdi, Astronomy and Space Science Department, Faculty of Science, King Abdul Aziz University, Jeddah, Saudi ArabiaFollow
• Abdulrahman Ali Malawi, Astronomy and Space Science Department, Faculty of Science, King Abdul Aziz University, Jeddah, Saudi ArabiaFollow

Abstract

This study presents the results of the analysis of three open star clusters — IC 1442, King 21, and Trumpler 7 — using data from Gaia DR3 combined with Machine Learning techniques and TOPCAT tools. The identified cluster members are 208 for IC 1442, 133 for King 21, and 319 for Trumpler 7. From the derived density profiles, we determined each cluster’s structural parameters, such as cluster radii. The estimated distances from the Sun are 2785.599 pc, 2502.302 pc, and 1478.923 pc, respectively, while the logarithmic ages are log(age) = 7.40 yr, 7.60 yr, and 7.80 yr. Assuming solar metallicity, the average stellar masses are ⟨m⟩ = 1.824 ± 0.860 M_⊙, 2.689 ± 2.006 M_⊙, and 1.089 ± 0.526 M_⊙ for the respective clusters. All clusters are dynamically relaxed, as indicated by relaxation times smaller than their ages. The analysis, conducted using the ASTeCA package, focuses on the structure and evolution of stellar clusters through modules for cluster structure, membership determination, synthetic cluster generation, parameter fitting, and studies of stellar masses and binaries.

First Page

65

Last Page

77

Recommended Citation

Alghamdi, Amaal Turki and Malawi, Abdulrahman Ali (2026) "Photometric Analysis of the Open Star Clusters IC 1442, King 21, and Trumpler 7 using TOPCAT Tools with Machine Learning Techniques and ASteCA," The Journal of King Abdulaziz University: Science: Vol. 36: Iss. 2, Article 5.
DOI: https://doi.org/10.64064/1658-4252.1029

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.