PhD thesis supervisor: dr. Rima Stonkutė (apply for recommendation)
Star clusters as a source of stellar populations in galaxies
The formation of stellar populations in galactic disks is still not well understood. The primary source of stars for these populations is star clusters, which gradually dissolve in galactic disks. The main goal of the thesis is to identify the key factors governing this process and to examine their dependence on the environmental parameters within galaxies. Archival observational data from space- and ground-based telescopes will be used, together with stochastic models of star cluster evolution. To achieve the aims of this thesis, a novel method will be developed to model the dissolution and spatial dispersal of star clusters in galactic disks. This method will be based on machine-learning (ML) algorithms, including convolutional neural networks (CNNs).