The formation of sub-structures within an atomic nucleus, appropriately termed nuclear clustering, is one of the core questions
of nuclear many-body physics. In this thesis, we put forward a new method for the study of nuclear clustering relying on the completely
microscopic Configuration Interaction approach. We construct reaction cluster channels in a Harmonic Oscillator many-body basis that respect
the symmetries of the Hamiltonian, are fully antisymmetrized, and carry a separable and controlled Center of Mass component. Such channels
are then used to explore cluster signatures in Configuration Interaction many-body wavefunctions. The Resonating Group Method is then
applied, utilizing the reaction channels as a basis to capture the essential cluster characteristics of the system. We investigate the
emergence of nuclear clustering in 2α, 2α+n, 2α+2n and 3α systems using a No Core Shell Model approach from first principles, and traditional Shell Model studies of clustering in heavier nuclei. / A Dissertation submitted to the Department of Physics in partial fulfillment of the requirements for the degree of Doctor of Philosophy. / Summer Semester 2018. / May 11, 2018. / Includes bibliographical references. / Alexander Volya, Professor Directing Dissertation; David Kopriva, University Representative; Ingo Weidenhoever, Committee Member; Simon Capstick, Committee Member; Laura Reina, Committee Member.
| Identifer | oai:union.ndltd.org:fsu.edu/oai:fsu.digital.flvc.org:fsu_647253 |
| Contributors | Kravvaris, Konstantinos (author), Volya, Alexander (professor directing dissertation), Kopriva, David A. (university representative), Weidenhoever, Ingo Ludwing M. (committee member), Capstick, Simon, 1958- (committee member), Reina, Laura (committee member), Florida State University (degree granting institution), College of Arts and Sciences (degree granting college), Department of Physics (degree granting departmentdgg) |
| Publisher | Florida State University |
| Source Sets | Florida State University |
| Language | English, English |
| Detected Language | English |
| Type | Text, text, doctoral thesis |
| Format | 1 online resource (105 pages), computer, application/pdf |
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