Physical Properties of the star-forming clusters in NGC 6334
Mahya Sadaghiani, \'Alvaro S\'anchez-Monge, Peter Schilke, Hauyu, Baobab Liu, Seamus Clarke, Qizhou Zhang, Josep Miquel Girart, Daniel, Seifried, Atefeh Aghababaei, Hua-bai Li, Carmen Ju\'arez, and Kwok Sun Tang

TL;DR
This study uses ALMA observations and machine learning to analyze the properties, clustering, and mass distribution of cores in NGC 6334, revealing insights into star formation processes and cluster evolution.
Contribution
First detailed ALMA-based analysis of NGC 6334's star-forming clusters incorporating machine learning for core grouping and mass segregation assessment.
Findings
Identification of four main clusters with typical core separations of 4000-12000 au.
Core mass functions show an excess of massive cores compared to the initial mass function.
Evidence of mass segregation and evolutionary effects influencing cluster properties.
Abstract
We have studied the high-mass star-forming complex NGC 6334 with ALMA in the continuum emission at a frequency of 87.6 GHz, achieving a spatial resolution of 1300 au. Detecting 142 compact sources distributed over the whole observed area, we then used machine learning algorithms to group the compact cores in different clusters. A total of four main clusters were identified: NGC 6334-E, NGC 6334-I, NGC 6334-I(N) and NGC 6334-I(NW). The typical separations between cluster members (4000-12000 au) together with the core masses (0.2-100 ) are in agreement with turbulent fragmentation at scales of 0.1 pc. We find that the CMFs (core mass functions) show an excess of massive cores compared to the IMF. Typical uncertainties in temperature or unresolved multiplicity may mimic the observed excess of massive cores. Evidence of mass segregation in NGC 6334-I and NGC 6334-I(N), with the…
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