Topics in PIXE Analysis

dc.contributor.advisorCampbell, Iain
dc.contributor.advisorO'Meara, Joanne
dc.contributor.authorMartin, Peter
dc.date.accessioned2023-01-09T19:04:49Z
dc.date.available2023-01-09T19:04:49Z
dc.date.copyright2023-01-09
dc.date.created2022-09-28
dc.degree.departmentDepartment of Physicsen_US
dc.degree.grantorUniversity of Guelphen
dc.degree.nameMaster of Scienceen_US
dc.degree.programmePhysicsen_US
dc.description.abstractProton induced x-ray emission spectroscopy (PIXE) sees widespread use in a variety of materials analysis applications. With the goal of improving the accuracy of PIXE results several projects are undertaken. In this work changes to beam visualization and beam-size calibration are described. An examination of various theoretical cross-section databases is performed, showing that extending the currently used ECPSSR theory through united-atom and intra-shell corrections is unlikely to offer an improvement to PIXE results. It is also shown that the diminishing energy of protons in thick samples is unlikely to be the cause of aberrant results previously seen for certain elements. A detailed examination of pure-element thick and thin samples suggests that cross-section databases for studied elements agree with experimental results. Finally, data from Ito et. al. and Kavcic et. al. are used to successfully improve the shape of the K-$\beta$ x-ray line of iron, resulting in a more accurate fit.en_US
dc.identifier.urihttps://hdl.handle.net/10214/27394
dc.language.isoenen_US
dc.publisherUniversity of Guelphen
dc.rights.licenseAll items in the Atrium are protected by copyright with all rights reserved unless otherwise indicated.
dc.subjectECPSSRen_US
dc.subjectThick Sample Analysisen_US
dc.subjectThin Sample Analysisen_US
dc.subjectUnited Atom Correctionen_US
dc.subjectIntra Shell Correctionen_US
dc.subjectPIXEen_US
dc.subjectProton Beamen_US
dc.subjectSpectroscopyen_US
dc.subjectk-Beta Transition Linesen_US
dc.titleTopics in PIXE Analysisen_US
dc.typeThesisen

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Martin_Peter_202301_MSc.pdf
Size:
32.11 MB
Format:
Adobe Portable Document Format
Description:
Thesis