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The <i>m</i> <sub>max</sub> - <i>M</i> <sub>ecl</sub> relation in the LEGUS clusters

Marie ZinnkannHelmholtz-Institut für Strahlen- und Kernphysik, Universität BonnTereza JerabkovaDepartment of Theoretical Physics and Astrophysics, Faculty of Science, Masaryk UniversityZhiqiang YanSchool of Astronomy and Space Science, Nanjing UniversityPavel KroupaAstronomical Institute of the Slovak Academy of SciencesYannik OstermannHelmholtz-Institut für Strahlen- und Kernphysik, Universität BonnEda GjergoNanjing UniversityAkram Hasani ZonooziDepartment of Physics, Institute for Advanced Studies in Basic Sciences (IASBS)Hosein HaghiHelmholtz-Institut für Strahlen- und Kernphysik, Universität BonnJan Pflamm-AltenburgHelmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn
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The relation between the maximum stellar mass in a very young cluster ( m max ) and the total stellar mass of the cluster ( M ecl ), known as the m max − M ecl relation, remains debated in the literature. To test the validity of this relation, we modelled young star clusters with masses between 10 2.5 and 10 5.0 M ⊙ and ages of 1–4 Myr using the galIMF code, in which stellar masses are optimally sampled from a varying initial stellar mass function. We compared the results with literature observations of extragalactic young star clusters. We incorporated stellar evolution via PARSEC and COLIBRI tracks and computed H α luminosities using the Pégase code. To account for dynamical ejections, we stochastically removed stars based on their spectral type, following previous N -body simulations. Additional sources of scatter, including uncertainties in age determination and contamination by field stars, were considered. Our results indicate that, under the assumptions explored here, optimal sampling is consistent with the extragalactic star cluster observations considered, whereas purely random sampling produces distributions that are not in agreement. These findings support a highly self-regulated interpretation of cluster formation in which stellar masses align optimally with the initial mass function rather than being drawn independently at random.

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