{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/78576"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/78576","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Automated wavelet analysis of low resolution gamma-ray spectra and peak area uncertainty","abstract":"The accuracy of automated isotope identification from low resolution gamma-ray spectra can be significantly improved with better algorithms. The method based on the wavelet transform and non-negative least squares (NNLS) are discussed in this thesis. Several improvements are made for the wavelet algorithm itself and different options can be configured in the MATLAB code. The partial or whole spectrum can be sent to NNLS and analyzed with or without subtracting the continuum. The boundary effects are also discussed. Several methods are developed to determine the area uncertainty. The matrix form of wavelet transform and error propagation are used. The inversion of the basis matrix is obtained either by the Moore-Penrose pseudo inversion or by truncated singular value decomposition (TSVD). The results are compared with those given by OriginLab and Gaussian fitting in MATLAB, which are consistent with each other, while TSVD is shown to be more accurate. The wavelet algorithm using TSVD for the area uncertainty calculation works well for complicated spectrum continuum and for overlapping peaks.","abstract_html":"The accuracy of automated isotope identification from low resolution gamma-ray spectra can be significantly improved with better algorithms. The method based on the wavelet transform and non-negative least squares (NNLS) are discussed in this thesis. Several improvements are made for the wavelet algorithm itself and different options can be configured in the MATLAB code. The partial or whole spectrum can be sent to NNLS and analyzed with or without subtracting the continuum. The boundary effects are also discussed. Several methods are developed to determine the area uncertainty. The matrix form of wavelet transform and error propagation are used. The inversion of the basis matrix is obtained either by the Moore-Penrose pseudo inversion or by truncated singular value decomposition (TSVD). The results are compared with those given by OriginLab and Gaussian fitting in MATLAB, which are consistent with each other, while TSVD is shown to be more accurate. The wavelet algorithm using TSVD for the area uncertainty calculation works well for complicated spectrum continuum and for overlapping peaks.","abstract_has_math":false,"creators":["Xiong, Hao"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Nuclear, Plasma, Radiolgc Engr","degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-07-22T22:18:24Z","date_published":"2015-07-22T22:18:24Z","updated_at":"2026-07-22T22:26:11Z","subjects":["gamma spectrum","automated isotope identification","wavelet analysis"],"languages":["en"],"rights":["Copyright 2015 Hao Xiong"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/78576","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Xiong, Hao"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2015-07-22T22:18:24Z","2015-05","2015-05-01","2015-5"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Nuclear, Plasma, Radiolgc Engr"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["gamma spectrum","automated isotope identification","wavelet analysis"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2015 Hao Xiong"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/78576"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["The accuracy of automated isotope identification from low resolution gamma-ray spectra can be significantly improved with better algorithms. The method based on the wavelet transform and non-negative least squares (NNLS) are discussed in this thesis. Several improvements are made for the wavelet algorithm itself and different options can be configured in the MATLAB code. The partial or whole spectrum can be sent to NNLS and analyzed with or without subtracting the continuum. The boundary effects are also discussed. Several methods are developed to determine the area uncertainty. The matrix form of wavelet transform and error propagation are used. The inversion of the basis matrix is obtained either by the Moore-Penrose pseudo inversion or by truncated singular value decomposition (TSVD). The results are compared with those given by OriginLab and Gaussian fitting in MATLAB, which are consistent with each other, while TSVD is shown to be more accurate. The wavelet algorithm using TSVD for the area uncertainty calculation works well for complicated spectrum continuum and for overlapping peaks.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2015-07-22 without embargo terms","The student, Hao Xiong, accepted the attached license on 2015-05-01 at 15:06.","The student, Hao Xiong, submitted this Thesis for approval on 2015-05-01 at 15:15.","This Thesis was approved for publication on 2015-05-01 at 15:49.","DSpace SAF Submission Ingestion Package generated from Vireo submission #8235 on 2015-07-22 at 10:35:24","Made available in DSpace on 2015-07-22T22:18:24Z (GMT). No. of bitstreams: 2 XIONG-THESIS-2015.pdf: 2141758 bytes, checksum: 68e00650351d9f34795215a4fd1abc89 (MD5) LICENSE.txt: 4206 bytes, checksum: 6a566896d16627ef3cc3155372c14a77 (MD5) Previous issue date: 2015-05-01"]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Automated wavelet analysis of low resolution gamma-ray spectra and peak area uncertainty"]}]}],"canonical_facts":{"dc:creator":["Xiong, Hao"],"dc:date":["2015-07-22T22:18:24Z","2015-05","2015-05-01","2015-5"],"dc:description":["The accuracy of automated isotope identification from low resolution gamma-ray spectra can be significantly improved with better algorithms. The method based on the wavelet transform and non-negative least squares (NNLS) are discussed in this thesis. Several improvements are made for the wavelet algorithm itself and different options can be configured in the MATLAB code. The partial or whole spectrum can be sent to NNLS and analyzed with or without subtracting the continuum. The boundary effects are also discussed. Several methods are developed to determine the area uncertainty. The matrix form of wavelet transform and error propagation are used. The inversion of the basis matrix is obtained either by the Moore-Penrose pseudo inversion or by truncated singular value decomposition (TSVD). The results are compared with those given by OriginLab and Gaussian fitting in MATLAB, which are consistent with each other, while TSVD is shown to be more accurate. The wavelet algorithm using TSVD for the area uncertainty calculation works well for complicated spectrum continuum and for overlapping peaks.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2015-07-22 without embargo terms","The student, Hao Xiong, accepted the attached license on 2015-05-01 at 15:06.","The student, Hao Xiong, submitted this Thesis for approval on 2015-05-01 at 15:15.","This Thesis was approved for publication on 2015-05-01 at 15:49.","DSpace SAF Submission Ingestion Package generated from Vireo submission #8235 on 2015-07-22 at 10:35:24","Made available in DSpace on 2015-07-22T22:18:24Z (GMT). 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