Mass Segregation in Open Clusters
Keywords:
student research, stellar dynamics, open clusters, mass segregation, minimum spanning treeAbstract
This paper presents a student research project in astrophysics completed by a Grade 10 student. It demonstrates the feasibility of advanced research project work for upper secondary students and identifies communication tools and principles for structuring a student's work. The research component focuses on assessing mass segregation in 12 open clusters using data from the SAI Open Clusters Catalog. Segregation is quantified using the minimum spanning tree (MST) method, which compares the MST length for a sample of the most massive stars with the distribution of MST lengths for random subsamples of the same size. Stellar masses are estimated from photometric data using an approximate mass–luminosity relation, while a simple model of changes in the number of stars is based on the initial mass function. A characteristic relaxation time is also estimated for each cluster using formulas from stellar dynamics. The results indicate a possible relationship between the dynamical age of a cluster and the value of ΛMSR; however, because of the small sample, approximate mass estimates, and simplified cluster membership selection, the conclusions should be regarded as qualitative estimates obtained within a student research project.
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