A model for the formation of stellar associations and clusters from giant molecular clouds
Michael Y. Grudi\'c, J. M. Diederik Kruijssen, Claude-Andr\'e, Faucher-Gigu\`ere, Philip F. Hopkins, Xiangcheng Ma, Eliot Quataert, and, Michael Boylan-Kolchin

TL;DR
This study uses extensive MHD simulations of turbulent giant molecular clouds to model star cluster formation, revealing how feedback and cloud properties influence cluster characteristics and aligning predictions with observations.
Contribution
It introduces a calibrated model linking GMC properties to star cluster populations, incorporating stochastic effects and feedback mechanisms.
Findings
Star clusters and unbound stars coexist post-cloud dispersal.
Cluster formation efficiency varies with feedback and cloud properties.
Model predictions align with observed cluster masses and sizes in M83.
Abstract
We present a large suite of MHD simulations of turbulent, star-forming giant molecular clouds(GMCs) with stellar feedback, extending previous work by simulating 10 different random realizations for each point in the parameter space of cloud mass and size. It is found that oncethe clouds disperse due to stellar feedback, both self-gravitating star clusters and unbound stars generally remain, which arise from the same underlying continuum of substructured stellar density, ie. the hierarchical cluster formation scenario. The fraction of stars that are born within gravitationally-bound star clusters is related to the overall cloud star formation efficiency set by stellar feedback, but has significant scatter due to stochastic variations in the small-scale details of the star-forming gas flow. We use our numerical results to calibrate a model for mapping the bulk properties (mass, size, and…
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