The process of MA-XRF data for spectroscopy imaging in cultural heritage
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10174/29943 |
Resumo: | Scanning macro-X-ray fluorescence analysis (MA-XRF) is rapidly being established as a technique for the investigation of historical paintings. The elemental distribution images acquired by this method allow the visualization of hidden paint layers and thus, provide insight into the artist's creative process and the painting's conservation history. As a non-destructive instrument MA-XRF and analyzing software PyMca will be used to identify, also to study painting from private collection in Italy. The use of MA-XRF to tentatively predict pigments has an important advantage, its application provides the undamaged and low cost survey of large areas in the painting. The method was proved powerful and useful, capable of efficiently determining the composition and structure of the investigated object in a total safe approach. Nevertheless, for a more throughout evaluation and a better estimation of the pigment composition, it has been demonstrated that, the use of complementary analytical techniques is required |
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The process of MA-XRF data for spectroscopy imaging in cultural heritageXRFPyMcaPaintingSynchrotron radiationMA-XRFScanning macro-X-ray fluorescence analysis (MA-XRF) is rapidly being established as a technique for the investigation of historical paintings. The elemental distribution images acquired by this method allow the visualization of hidden paint layers and thus, provide insight into the artist's creative process and the painting's conservation history. As a non-destructive instrument MA-XRF and analyzing software PyMca will be used to identify, also to study painting from private collection in Italy. The use of MA-XRF to tentatively predict pigments has an important advantage, its application provides the undamaged and low cost survey of large areas in the painting. The method was proved powerful and useful, capable of efficiently determining the composition and structure of the investigated object in a total safe approach. Nevertheless, for a more throughout evaluation and a better estimation of the pigment composition, it has been demonstrated that, the use of complementary analytical techniques is requiredUniversidade de Évora2021-06-17T09:41:01Z2021-06-172020-12-21T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesishttp://hdl.handle.net/10174/29943http://hdl.handle.net/10174/29943TID:202732436porDepartamento de Históriam43704@alunos.uevora.pt709Huseynli, Fakhriyyainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-03T19:27:16Zoai:dspace.uevora.pt:10174/29943Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:19:25.571365Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
The process of MA-XRF data for spectroscopy imaging in cultural heritage |
title |
The process of MA-XRF data for spectroscopy imaging in cultural heritage |
spellingShingle |
The process of MA-XRF data for spectroscopy imaging in cultural heritage Huseynli, Fakhriyya XRF PyMca Painting Synchrotron radiation MA-XRF |
title_short |
The process of MA-XRF data for spectroscopy imaging in cultural heritage |
title_full |
The process of MA-XRF data for spectroscopy imaging in cultural heritage |
title_fullStr |
The process of MA-XRF data for spectroscopy imaging in cultural heritage |
title_full_unstemmed |
The process of MA-XRF data for spectroscopy imaging in cultural heritage |
title_sort |
The process of MA-XRF data for spectroscopy imaging in cultural heritage |
author |
Huseynli, Fakhriyya |
author_facet |
Huseynli, Fakhriyya |
author_role |
author |
dc.contributor.author.fl_str_mv |
Huseynli, Fakhriyya |
dc.subject.por.fl_str_mv |
XRF PyMca Painting Synchrotron radiation MA-XRF |
topic |
XRF PyMca Painting Synchrotron radiation MA-XRF |
description |
Scanning macro-X-ray fluorescence analysis (MA-XRF) is rapidly being established as a technique for the investigation of historical paintings. The elemental distribution images acquired by this method allow the visualization of hidden paint layers and thus, provide insight into the artist's creative process and the painting's conservation history. As a non-destructive instrument MA-XRF and analyzing software PyMca will be used to identify, also to study painting from private collection in Italy. The use of MA-XRF to tentatively predict pigments has an important advantage, its application provides the undamaged and low cost survey of large areas in the painting. The method was proved powerful and useful, capable of efficiently determining the composition and structure of the investigated object in a total safe approach. Nevertheless, for a more throughout evaluation and a better estimation of the pigment composition, it has been demonstrated that, the use of complementary analytical techniques is required |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-12-21T00:00:00Z 2021-06-17T09:41:01Z 2021-06-17 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10174/29943 http://hdl.handle.net/10174/29943 TID:202732436 |
url |
http://hdl.handle.net/10174/29943 |
identifier_str_mv |
TID:202732436 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
Departamento de História m43704@alunos.uevora.pt 709 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Universidade de Évora |
publisher.none.fl_str_mv |
Universidade de Évora |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799136675593453568 |