Global mass segregation in hydrodynamical simulations of star formation
Th. Maschberger (1,2,3), C. J. Clarke (1) ((1) IoA, Cambridge, (2), AifA Bonn, (3) IPAG Grenoble)

TL;DR
This study examines mass segregation in hydrodynamical star formation simulations without feedback, comparing diagnostic methods and revealing early, persistent global mass segregation with specific characteristics of massive sink particles.
Contribution
It introduces and compares methods to quantify mass segregation, highlighting the impact of outliers and proposing an alternative analysis approach, while providing new insights into early mass segregation in simulations.
Findings
Mass segregation is evident from early times in simulations.
Outliers can skew traditional mass segregation diagnostics.
A small percentage of massive sink particles are isolated from others.
Abstract
Recent analyses of mass segregation diagnostics in star forming regions invite a comparison with the output of hydrodynamic simulations of star formation. In this work we investigate the state of mass segregation of 'stars' (i.e. sink particles in the simulations) in the case of hydrodynamical simulations which omit feedback. We first discuss methods to quantify mass segregation in substructured regions, either based on the minimum spanning tree (Allison's Lambda), or through analysis of correlations between stellar mass and local stellar surface number densities. We find that the presence of even a single 'outlier' (i.e. a massive object far from other stars) can cause the Allison Lambda method to describe the system as inversely mass segregated, even where in reality the most massive sink particles are overwhelmingly in the centres of the subclusters. We demonstrate that a variant of…
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Taxonomy
TopicsTransportation Planning and Optimization · Astrophysics and Star Formation Studies · Astro and Planetary Science
