Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

Developing new experimental techniques to investigate the co-linear cluster tri-partitioning

Thesis (MSc)--Stellenbosch University, 2022.

Saved in:
Bibliographic Details
Main Author: Korsten, Riaan Louw
Other Authors: Wyngaardt, Shaun M.
Format: Thesis
Language:en_ZA
Published: Stellenbosch : Stellenbosch University 2022
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1867614011243102208
access_status_str Open Access
author Korsten, Riaan Louw
author2 Wyngaardt, Shaun M.
author_browse Korsten, Riaan Louw
Wyngaardt, Shaun M.
author_facet Wyngaardt, Shaun M.
Korsten, Riaan Louw
author_sort Korsten, Riaan Louw
collection Thesis
dc_rights_str_mv Stellenbosch University
description Thesis (MSc)--Stellenbosch University, 2022.
format Thesis
id oai:scholar.sun.ac.za:10019.1/126117
institution Stellenbosch University (South Africa)
language en_ZA
last_indexed 2026-06-10T12:45:15.253Z
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:10019.1/126117 Developing new experimental techniques to investigate the co-linear cluster tri-partitioning Korsten, Riaan Louw Wyngaardt, Shaun M. Malaza, Vusi D. Pyatkov, Yu V. Stellenbosch University. Faculty of Science. Dept. of Physics. Computational simulations Data collection efficiency Data accuracy Nuclear physics -- History Nuclear fusion -- Data processing Collinear cluster tripartition (CCT) UCTD Thesis (MSc)--Stellenbosch University, 2022. ENGLISH ABSTRACT: Computational simulations were developed to calculate data collection efficiency, as well as data accuracy for existing experimental setups used in the study of the exotic ternary decay of low excited heavy nuclei known as Co-linear Cluster Tri- partitioning (CCT) [1]. The most populated CCT mode containing the so called “Ni-bump”. This bump is centered at the masses associated with the magic isotopes of Ni (which include ⁶⁸Ni and ⁷²Ni). The results from these simulations give new insight into the identification capability of heavy ions using current experimental equipment and hint at some possible solutions to increase data collection efficiency and data accuracy. As a charged particle interacts with the material of a semiconductor detector and deposits energy into it, it creates high conductivity plasma along the trajectory of the particle. This disrupts the internal electric field of the detector for some time which retards data collection. This effect is known as Plasma Delay (PD). Development of a new algorithm and subsequent computational implementation of this algorithm -Paraspline algorithm-, with the goal of more accurate time-of-flight (TOF) calculations, by correcting for the PD effect in semiconductor detectors. Testing of this algorithm show promising results, potentially improving the reliability of future experimental results. AFRIKAANSE OPSOMMING: Geen opsomming beskikbaar. Masters 2022-11-24T13:12:08Z 2023-01-16T12:50:57Z 2022-11-24T13:12:08Z 2023-01-16T12:50:57Z 2022-12 Thesis http://hdl.handle.net/10019.1/126117 en_ZA Stellenbosch University xvii, 111 pages : illustrations (some color) application/pdf Stellenbosch : Stellenbosch University
spellingShingle Computational simulations
Data collection efficiency
Data accuracy
Nuclear physics -- History
Nuclear fusion -- Data processing
Collinear cluster tripartition (CCT)
UCTD
Korsten, Riaan Louw
Developing new experimental techniques to investigate the co-linear cluster tri-partitioning
title Developing new experimental techniques to investigate the co-linear cluster tri-partitioning
title_full Developing new experimental techniques to investigate the co-linear cluster tri-partitioning
title_fullStr Developing new experimental techniques to investigate the co-linear cluster tri-partitioning
title_full_unstemmed Developing new experimental techniques to investigate the co-linear cluster tri-partitioning
title_short Developing new experimental techniques to investigate the co-linear cluster tri-partitioning
title_sort developing new experimental techniques to investigate the co linear cluster tri partitioning
topic Computational simulations
Data collection efficiency
Data accuracy
Nuclear physics -- History
Nuclear fusion -- Data processing
Collinear cluster tripartition (CCT)
UCTD
url http://hdl.handle.net/10019.1/126117
work_keys_str_mv AT korstenriaanlouw developingnewexperimentaltechniquestoinvestigatethecolinearclustertripartitioning