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Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/32440
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dc.contributor.advisorHarris, William-
dc.contributor.authorKeatley, Kaitlyn-
dc.date.accessioned2025-09-29T14:33:18Z-
dc.date.available2025-09-29T14:33:18Z-
dc.date.issued2025-11-20-
dc.identifier.urihttp://hdl.handle.net/11375/32440-
dc.description.abstractMassive, gravitationally bound star clusters, globular clusters (GCs) are among the oldest objects in the universe. Because they preferentially formed in the early universe, understanding their formation and evolution is challenging due to limited observational data. The James Webb Space Telescope (JWST) allows us to extend observations of GC populations to intermediate redshift; colour-magnitude diagrams (CMDs) and spatial distribution of GC populations can reveal the history of their host galaxies. By comparing CMDs of GC systems across epochs, we can further understand their evolution. These populations can also be used to probe the gravitational potential of massive galaxy clusters, which is dominated by the dark matter halo. This work focuses on the galaxy cluster RXJ 2129.5+0007 at a redshift of 0.234 (lookback time of 2.9 Gyr). We have conducted photometry utilizing three bands from the short wavelength channel of NIRCam (F115W, F150W, and F200W). We explore the CMD, radial and azimuthal distribution, and subpopulations of candidate GCs around the brightest cluster galaxy of RXJ 2129.en_US
dc.language.isoenen_US
dc.subjectglobular clustersen_US
dc.subjectgalaxy clustersen_US
dc.subjectphotometryen_US
dc.titleTracing the evolutionary history of massive galaxies with globular clustersen_US
dc.title.alternativeTracing the evolutionary history of massive galaxies with globular clusters: A JWST NIRCam photometric study of globular cluster populations in intermediate-redshift galaxy clustersen_US
dc.typeThesisen_US
dc.contributor.departmentPhysics and Astronomyen_US
dc.description.degreetypeThesisen_US
dc.description.degreeMaster of Science (MSc)en_US
Appears in Collections:Open Access Dissertations and Theses

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