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Thesis (MSc)--Stellenbosch University, 2022.
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| Format: | Thesis |
| Language: | en_ZA |
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Stellenbosch : Stellenbosch University
2022
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| _version_ | 1867613920344145920 |
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| access_status_str | Open Access |
| author | Bormans, Jeroen Peter |
| author2 | Wyngaardt, Shaun M. |
| author_browse | Bormans, Jeroen Peter Wyngaardt, Shaun M. |
| author_facet | Wyngaardt, Shaun M. Bormans, Jeroen Peter |
| author_sort | Bormans, Jeroen Peter |
| collection | Thesis |
| dc_rights_str_mv | Stellenbosch University |
| description | Thesis (MSc)--Stellenbosch University, 2022. |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/126051 |
| institution | Stellenbosch University (South Africa) |
| language | en_ZA |
| last_indexed | 2026-06-10T12:43:48.768Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Stellenbosch : Stellenbosch University |
| publisherStr | Stellenbosch : Stellenbosch University |
| record_format | dspace |
| source_str | SUNScholar — Stellenbosch University Repository |
| spelling | oai:scholar.sun.ac.za:10019.1/126051 Systematics of mean resonance spacing and average radiative width from random forest regression Bormans, Jeroen Peter Wyngaardt, Shaun M. Wiedeking, Mathis Malatji, K.L. Stellenbosch University. Faculty of Science. Dept. of Physics. Nuclear physics -- Experiments Nuclear astrophysics Nuclear structure Photon strength functions Machine learning -- Algorithms UCTD Thesis (MSc)--Stellenbosch University, 2022. ENGLISH ABSTRACT: The interaction of a nucleus with γ-rays plays a key role in a theoretical understanding of competi- tion in and components of nuclear reactions. The photon strength function (PSF) gives the average response of a nucleus to an electromagnetic probe. In this thesis, a study is done of the nuclear level density (NLD) and PSF of 22 isotopes in the range (A = 46 − 90) arising from a (p,γ) reac- tion. The calculations for this analysis are done in TALYS. In addition, a machine-learning driven approach for determining experimentally obtained model parameters from the neutron/proton and mass number is given. AFRIKAANSE OPSOMMING: Die interaksie van ’n kern met γ-strale speel ’n sleutelrol in ’n teoretiese begrip van mededinging in en komponente van kernreaksies. Die fotonsterktefunksie (PSF) gee die gemiddelde reaksie van ’n kern op elektromagnetiese ondersoek. In hierdie tesis, word ’n studie gedoen van die kernvlakdigth- eid (NLD) en PSF van 22 isotope in die reeks (A = 46 − 90) wat voortspruit uit ’n (p,γ) reaksie. Die berekeninge vir hierdie analise word in TALYS gedoen. Daarbenewens word ’n masjienleer- gedrewe benadering gegee vir die bepaling van eksperimenteel verkryde modelparameters vanaf die neutron/proton en massagetal. Masters 2022-11-24T13:09:52Z 2023-01-16T12:47:33Z 2022-11-24T13:09:52Z 2023-01-16T12:47:33Z 2022-12 Thesis http://hdl.handle.net/10019.1/126051 en_ZA Stellenbosch University xv, 117 pages : illustrations (some color) application/pdf Stellenbosch : Stellenbosch University |
| spellingShingle | Nuclear physics -- Experiments Nuclear astrophysics Nuclear structure Photon strength functions Machine learning -- Algorithms UCTD Bormans, Jeroen Peter Systematics of mean resonance spacing and average radiative width from random forest regression |
| title | Systematics of mean resonance spacing and average radiative width from random forest regression |
| title_full | Systematics of mean resonance spacing and average radiative width from random forest regression |
| title_fullStr | Systematics of mean resonance spacing and average radiative width from random forest regression |
| title_full_unstemmed | Systematics of mean resonance spacing and average radiative width from random forest regression |
| title_short | Systematics of mean resonance spacing and average radiative width from random forest regression |
| title_sort | systematics of mean resonance spacing and average radiative width from random forest regression |
| topic | Nuclear physics -- Experiments Nuclear astrophysics Nuclear structure Photon strength functions Machine learning -- Algorithms UCTD |
| url | http://hdl.handle.net/10019.1/126051 |
| work_keys_str_mv | AT bormansjeroenpeter systematicsofmeanresonancespacingandaverageradiativewidthfromrandomforestregression |