PhD Project: Young, massive star clusters in the Milky Way
Argelander Institut für Astronomie, University of Bonn
PhD candidate: Benjamin Hußmann
Young, massive star clusters - or starburst clusters - are among the most extreme star forming environments in the Milky Way galaxy today. Due to the large distances to these objects their global properties are not well known. At the same time, these clusters serve as the test cases for a large variety of extragalactic star clusters observed in their integrated light throughout the universe. Star formation in Milky Way starbursts is therefore crucial for our understanding
of extragalactic systems.
With the advent of high-spatial resolution adaptive optics, membership studies in Milky Way starburst clusters have now become feasible. These studies allow us to disentangle the dense field population from genuine cluster members, and derive the dynamical and photometric properties of starburst clusters in an unbiased way. The major goal of the thesis project is the reconstruction of the dynamical state and of the stellar mass distribution in starburst clusters near the center of the Galaxy and in the spiral arm regions.
Scientific goals:
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• Definition of cluster extent and radial profile
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• Constraints on velocity profile and dynamical evolution
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• Spectral distance determination
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• Spectroscopic stellar mass distribution
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• Comparison of Galactic center and spiral arm starbursts
The project encompasses the analysis of spectroscopic and multi-epoch near infrared imaging data obtained with adaptive optics at large optical telescopes (e.g., VLT NACO, FORS, and SINFONI observations). Spectral types, luminosities and kinematic properties of individual cluster members will be determined, from which the dynamical state and the stellar mass distribution of starburst clusters will be derived. Special emphasis is placed on star clusters undergoing disruption in the strong gravitational field near the center of the Galaxy. Scientific aims include the in-depth understanding of the dynamical evolution of star clusters forming under extreme conditions and the search for tidal debris.
Specific analysis tools include:
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• data reduction and analysis of adaptive optics imaging and spectroscopy observations
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• selection of a clean sample of cluster stars:
astrometric determination of proper motion membership
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• classification of cluster members from near-infrared and optical spectroscopy
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• completeness estimates in photometric and spectroscopic samples
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• derivation of the spectroscopic stellar mass distribution