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

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dc.contributor.advisorWyngaardt, Shaun M.en_ZA
dc.contributor.advisorMalaza, Vusi D.en_ZA
dc.contributor.advisorPyatkov, Yu V.en_ZA
dc.contributor.authorKorsten, Riaan Louwen_ZA
dc.contributor.otherStellenbosch University. Faculty of Science. Dept. of Physics.en_ZA
dc.date.accessioned2022-11-24T13:12:08Z
dc.date.accessioned2023-01-16T12:50:57Z
dc.date.available2022-11-24T13:12:08Z
dc.date.available2023-01-16T12:50:57Z
dc.date.issued2022-12
dc.descriptionThesis (MSc)--Stellenbosch University, 2022.en_ZA
dc.description.abstractENGLISH 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.en_ZA
dc.description.abstractAFRIKAANSE OPSOMMING: Geen opsomming beskikbaar.af_ZA
dc.description.versionMastersen_ZA
dc.format.extentxvii, 111 pages : illustrations (some color)en_ZA
dc.identifier.urihttp://hdl.handle.net/10019.1/126117
dc.language.isoen_ZAen_ZA
dc.publisherStellenbosch : Stellenbosch Universityen_ZA
dc.rights.holderStellenbosch Universityen_ZA
dc.subjectComputational simulationsen_ZA
dc.subjectData collection efficiencyen_ZA
dc.subjectData accuracyen_ZA
dc.subjectNuclear physics -- Historyen_ZA
dc.subjectNuclear fusion -- Data processingen_ZA
dc.subjectCollinear cluster tripartition (CCT)en_ZA
dc.subjectUCTDen_ZA
dc.titleDeveloping new experimental techniques to investigate the co-linear cluster tri-partitioningen_ZA
dc.typeThesisen_ZA
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