Dynamical inference of black hole populations in globular clusters

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dc.contributor.advisor Henault-Brunet, Vincent
dc.creator Smith, Peter James
dc.date.accessioned 2024-09-11T11:58:42Z
dc.date.available 2024-09-11T11:58:42Z
dc.date.issued 2024-08-14
dc.identifier.uri http://library2.smu.ca/xmlui/handle/01/32005
dc.description 1 online resource (xi, 135 pages) : graphs
dc.description Includes abstract.
dc.description Includes bibliographical references (pages 128-135).
dc.description.abstract <p>The present-day black hole (BH) populations of globular clusters (GCs) have far-reaching implications for the evolution of these systems and the production of gravitational wave sources. Despite this, our ability to constrain these populations remains unclear. Using synthetic observations from CMC models, we test one dynamical method, finding it to be effective but likely underestimating uncertainties. Additionally, we introduce a new technique for combining dynamical models with pulsar timing, and apply it to two Milky Way GCs. This reveals a modest BH population in 47 Tuc (with a total mass of 446&plusmn;<sup>75</sup><sub>72</sub> M<sub>⊙</sub>), suggesting no need for a large central BH, and sets a significant upper limit for the mass in BHs in Terzan 5 of &sim; 4000 M<sub>⊙</sub>. This technique, not reliant on stellar kinematics, offers insights into the dynamics of even heavily obscured GCs and will benefit from future radio telescope observations.</p> en_CA
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dc.description.provenance Made available in DSpace on 2024-09-11T11:58:42Z (GMT). No. of bitstreams: 1 Smith_Peter_MASTERS_2024.pdf: 14565171 bytes, checksum: eae860ff6d87d3476131f88c6ab661b4 (MD5) Previous issue date: 2024-08-14 en
dc.language.iso en en_CA
dc.publisher Halifax, N.S. : Saint Mary's University
dc.subject.lcsh Black holes (Astronomy)
dc.subject.lcsh Stars -- Globular clusters
dc.subject.lcsh X-ray astronomy
dc.subject.lcsh Gravitational waves
dc.title Dynamical inference of black hole populations in globular clusters en_CA
dc.title.alternative Dynamical inference of BH populations in GCs
dc.type Text en_CA
thesis.degree.name Master of Science in Astronomy
thesis.degree.level Masters
thesis.degree.discipline Astronomy and Physics
thesis.degree.grantor Saint Mary's University (Halifax, N.S.)
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