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Systematics of mean resonance spacing and average radiative width from random forest regression

Thesis (MSc)--Stellenbosch University, 2022.

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Bibliographic Details
Main Author: Bormans, Jeroen Peter
Other Authors: Wyngaardt, Shaun M.
Format: Thesis
Language:en_ZA
Published: Stellenbosch : Stellenbosch University 2022
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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