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Using the minimum spanning tree to trace mass segregation
Authors:Richard J. Allison  Simon P. Goodwin  Richard J. Parker  Simon F. Portegies Zwart  Richard de Grijs   M. B. N. Kouwenhoven
Affiliation:Department of Physics and Astronomy, University of Sheffield, Sheffield S3 7RH;Section Computational Science, University of Amsterdam, Kruislaan 403, Amsterdam, The Netherlands;Astronomical Institute 'Anton Pannekoek', University of Amsterdam, Kruislaan 403, Amsterdam, The Netherlands;NAOC-CAS, Beijing 100012, China
Abstract:We present a new method to detect and quantify mass segregation in star clusters. It compares the minimum spanning tree (MST) of massive stars with that of random stars. If mass segregation is present, the MST length of the most massive stars will be shorter than that of random stars. This difference can be quantified (with an associated significance) to measure the degree of mass segregation. We test the method on simulated clusters in both 2D and 3D and show that the method works as expected.
We apply the method to the Orion Nebula Cluster (ONC) and show that the method is able to detect the mass segregation in the Trapezium with a 'mass segregation ratio (MSR)'  ΛMSR= 8.0 ± 3.5  (where  ΛMSR= 1  is no mass segregation) down to  16 M  , and also that the ONC is mass segregated at a lower level  (∼2.0 ± 0.5)  down to  5 M  . Below  5 M  we find no evidence for any further mass segregation in the ONC.
Keywords:methods: data analysis
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