Identifica??o de candidatas a gal?xias interagentes no infravermelho pr?ximo a baixos redshifts
| Ano de defesa: | 2016 |
|---|---|
| Autor(a) principal: | |
| Orientador(a): | |
| Banca de defesa: | |
| Tipo de documento: | Dissertação |
| Tipo de acesso: | Acesso aberto |
| Idioma: | por |
| Instituição de defesa: |
Universidade Estadual de Feira de Santana
|
| Programa de Pós-Graduação: |
Mestrado em Computa??o Aplicada
|
| Departamento: |
DEPARTAMENTO DE TECNOLOGIA
|
| País: |
Brasil
|
| Palavras-chave em Português: | |
| Palavras-chave em Inglês: | |
| Área do conhecimento CNPq: | |
| Link de acesso: | http://localhost:8080/tede/handle/tede/446 |
Resumo: | Interacting peculiar galaxies are objects that still require further studies because they play an important role in the processes of the evolution of galaxies. The knowledge of its location and properties constitutes a great benefit to the astronomical community. In this dissertation, we present an automatic method for identifying and classifying images of interacting galaxies at low redshifts for the Southern Hemisphere, based on the properties of stellar and interstellar extinction distribution as well as using a pattern recognition software called ?Wndchrm? on images from the 2MASS survey, in the near infrared for the filters: J, H and KS. The training phase was made with images of known interacting galaxies from the Arp &Madore Catalogue, Categories 1 and 2. After training, a validation was performed using images of a region of the sky with 573 square degrees, obtaining a hit of, approximately, 73% in the identification of galaxies identified by visual inspection as interacting. This rate can reach up 88% considering the comparison with previous know galaxy pairs of Category 2 of Arp &Madore Catalogue. The procedure was performed for an area of about 17.836 square degrees of the Southern Hemisphere, finding at least several hundred galaxy pairs as yet uncatalogued. |
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Am?res, Eduardo Brescansin de89825500549http://lattes.cnpq.br/9135697164089163Cerqueira, Stanley Miranda2017-02-16T20:59:48Z2016-08-26CERQUEIRA, Stanley Miranda. Identifica??o de candidatas a gal?xias interagentes no infravermelho pr?ximo a baixos redshifts. 2016. 81 f. Disserta??o (Mestrado em Computa??o Aplicada)- Universidade Estadual de Feira de Santana, Feira de Santana, 2016.http://localhost:8080/tede/handle/tede/446Interacting peculiar galaxies are objects that still require further studies because they play an important role in the processes of the evolution of galaxies. The knowledge of its location and properties constitutes a great benefit to the astronomical community. In this dissertation, we present an automatic method for identifying and classifying images of interacting galaxies at low redshifts for the Southern Hemisphere, based on the properties of stellar and interstellar extinction distribution as well as using a pattern recognition software called ?Wndchrm? on images from the 2MASS survey, in the near infrared for the filters: J, H and KS. The training phase was made with images of known interacting galaxies from the Arp &Madore Catalogue, Categories 1 and 2. After training, a validation was performed using images of a region of the sky with 573 square degrees, obtaining a hit of, approximately, 73% in the identification of galaxies identified by visual inspection as interacting. This rate can reach up 88% considering the comparison with previous know galaxy pairs of Category 2 of Arp &Madore Catalogue. The procedure was performed for an area of about 17.836 square degrees of the Southern Hemisphere, finding at least several hundred galaxy pairs as yet uncatalogued.As gal?xias peculiares interagentes s?o objetos que ainda carecem de maiores estudos. Elas desempenham um papel importante nos processos de forma??o e de evolu??o das gal?xias. O conhecimento de sua localiza??o e propriedades, constitui um grande benef?cio para a comunidade astron?mica. Nesta disserta??o, apresentamos um m?todo autom?tico para identificar e classificar imagens de gal?xias interagentes a baixos redshifts para o Hemisf?rio Sul. Para tal, estabelecemos crit?rios baseados na distribui??o de estrelas e extin??o interestelar, assim como de objetos identificados no Cat?logo de fontes extensas do 2MASS. Usamos um software de reconhecimento de padr?es chamado Wndchrm em imagens do grande levantamento 2MASS no infravermelho pr?ximo para os filtros: J, H e Ks. A fase de treinamento foi feita com imagens de gal?xias interagentes conhecidas, do Cat?logo de Arp&Madore, das categorias 1 e 2. Ap?s o treinamento foi realizada uma valida??o com imagens de uma regi?o do c?u de 573 graus quadrados, obtendo uma taxa de acerto de, aproximadamente 73% na identifica??o de gal?xias previamente identificadas de forma visual como interagentes. Essa taxa aumenta para, aproximadamente 88% levando em conta pares da Categoria 2 previamente identificados no Cat?logo de Arp&Madore como pertencentes ? essa categoria. Executamos, o procedimento para uma ?rea de, aproximadamente 17.836 graus quadrados do Hemisf?rio Sul, encontrando, ao menos, v?rias centenas de pares de gal?xias ainda n?o catalogados.Submitted by Ricardo Cedraz Duque Moliterno (ricardo.moliterno@uefs.br) on 2017-02-16T20:59:48Z No. of bitstreams: 1 Dissertacao_stanley.pdf: 4369040 bytes, checksum: ed63301078418b326241edb9682820e8 (MD5)Made available in DSpace on 2017-02-16T20:59:48Z (GMT). No. of bitstreams: 1 Dissertacao_stanley.pdf: 4369040 bytes, checksum: ed63301078418b326241edb9682820e8 (MD5) Previous issue date: 2016-08-26application/pdfhttp://tede2.uefs.br:8080/retrieve/5019/Dissertacao_vencaderna%c3%a7%c3%a3o_stanley%20pen.pdf.jpgporUniversidade Estadual de Feira de SantanaMestrado em Computa??o AplicadaUEFSBrasilDEPARTAMENTO DE TECNOLOGIAGal?xias interagentesGrandes levantamentos astron?micosReconhecimento de padr?esInteracting galaxieslarge astronomical surveysPattern recognitionASTRONOMIA::ASTROFISICA EXTRAGALACTICAIdentifica??o de candidatas a gal?xias interagentes no infravermelho pr?ximo a baixos redshiftsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesis30331728231114420460060060043351085230203470512537097787318135684info:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações da UEFSinstname:Universidade Estadual de Feira de Santana (UEFS)instacron:UEFSTHUMBNAILDissertacao_vencaderna??o_stanley pen.pdf.jpgDissertacao_vencaderna??o_stanley pen.pdf.jpgimage/jpeg3850http://tede2.uefs.br:8080/bitstream/tede/446/4/Dissertacao_vencaderna%C3%A7%C3%A3o_stanley+pen.pdf.jpga3e99987db09540d9485c60f831c921dMD54TEXTDissertacao_vencaderna??o_stanley pen.pdf.txtDissertacao_vencaderna??o_stanley pen.pdf.txttext/plain196978http://tede2.uefs.br:8080/bitstream/tede/446/3/Dissertacao_vencaderna%C3%A7%C3%A3o_stanley+pen.pdf.txt4a0e49be6103ee4762d7697585bf4ce1MD53ORIGINALDissertacao_vencaderna??o_stanley pen.pdfDissertacao_vencaderna??o_stanley pen.pdfapplication/pdf2499610http://tede2.uefs.br:8080/bitstream/tede/446/2/Dissertacao_vencaderna%C3%A7%C3%A3o_stanley+pen.pdf0d3e85f49b888f28a8dbbd1eeaf8d738MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-82089http://tede2.uefs.br:8080/bitstream/tede/446/1/license.txt7b5ba3d2445355f386edab96125d42b7MD51tede/4462025-09-10 01:08:07.274oai:tede2.uefs.br:8080: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Biblioteca Digital de Teses e Dissertaçõeshttp://tede2.uefs.br:8080/PUBhttp://tede2.uefs.br:8080/oai/requestbcuefs@uefs.br|| bcref@uefs.br||bcuefs@uefs.bropendoar:2025-09-10T04:08:07Biblioteca Digital de Teses e Dissertações da UEFS - Universidade Estadual de Feira de Santana (UEFS)false |
| dc.title.por.fl_str_mv |
Identifica??o de candidatas a gal?xias interagentes no infravermelho pr?ximo a baixos redshifts |
| title |
Identifica??o de candidatas a gal?xias interagentes no infravermelho pr?ximo a baixos redshifts |
| spellingShingle |
Identifica??o de candidatas a gal?xias interagentes no infravermelho pr?ximo a baixos redshifts Cerqueira, Stanley Miranda Gal?xias interagentes Grandes levantamentos astron?micos Reconhecimento de padr?es Interacting galaxies large astronomical surveys Pattern recognition ASTRONOMIA::ASTROFISICA EXTRAGALACTICA |
| title_short |
Identifica??o de candidatas a gal?xias interagentes no infravermelho pr?ximo a baixos redshifts |
| title_full |
Identifica??o de candidatas a gal?xias interagentes no infravermelho pr?ximo a baixos redshifts |
| title_fullStr |
Identifica??o de candidatas a gal?xias interagentes no infravermelho pr?ximo a baixos redshifts |
| title_full_unstemmed |
Identifica??o de candidatas a gal?xias interagentes no infravermelho pr?ximo a baixos redshifts |
| title_sort |
Identifica??o de candidatas a gal?xias interagentes no infravermelho pr?ximo a baixos redshifts |
| author |
Cerqueira, Stanley Miranda |
| author_facet |
Cerqueira, Stanley Miranda |
| author_role |
author |
| dc.contributor.advisor1.fl_str_mv |
Am?res, Eduardo Brescansin de |
| dc.contributor.authorID.fl_str_mv |
89825500549 |
| dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/9135697164089163 |
| dc.contributor.author.fl_str_mv |
Cerqueira, Stanley Miranda |
| contributor_str_mv |
Am?res, Eduardo Brescansin de |
| dc.subject.por.fl_str_mv |
Gal?xias interagentes Grandes levantamentos astron?micos Reconhecimento de padr?es |
| topic |
Gal?xias interagentes Grandes levantamentos astron?micos Reconhecimento de padr?es Interacting galaxies large astronomical surveys Pattern recognition ASTRONOMIA::ASTROFISICA EXTRAGALACTICA |
| dc.subject.eng.fl_str_mv |
Interacting galaxies large astronomical surveys Pattern recognition |
| dc.subject.cnpq.fl_str_mv |
ASTRONOMIA::ASTROFISICA EXTRAGALACTICA |
| description |
Interacting peculiar galaxies are objects that still require further studies because they play an important role in the processes of the evolution of galaxies. The knowledge of its location and properties constitutes a great benefit to the astronomical community. In this dissertation, we present an automatic method for identifying and classifying images of interacting galaxies at low redshifts for the Southern Hemisphere, based on the properties of stellar and interstellar extinction distribution as well as using a pattern recognition software called ?Wndchrm? on images from the 2MASS survey, in the near infrared for the filters: J, H and KS. The training phase was made with images of known interacting galaxies from the Arp &Madore Catalogue, Categories 1 and 2. After training, a validation was performed using images of a region of the sky with 573 square degrees, obtaining a hit of, approximately, 73% in the identification of galaxies identified by visual inspection as interacting. This rate can reach up 88% considering the comparison with previous know galaxy pairs of Category 2 of Arp &Madore Catalogue. The procedure was performed for an area of about 17.836 square degrees of the Southern Hemisphere, finding at least several hundred galaxy pairs as yet uncatalogued. |
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2016 |
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2016-08-26 |
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2017-02-16T20:59:48Z |
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CERQUEIRA, Stanley Miranda. Identifica??o de candidatas a gal?xias interagentes no infravermelho pr?ximo a baixos redshifts. 2016. 81 f. Disserta??o (Mestrado em Computa??o Aplicada)- Universidade Estadual de Feira de Santana, Feira de Santana, 2016. |
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CERQUEIRA, Stanley Miranda. Identifica??o de candidatas a gal?xias interagentes no infravermelho pr?ximo a baixos redshifts. 2016. 81 f. Disserta??o (Mestrado em Computa??o Aplicada)- Universidade Estadual de Feira de Santana, Feira de Santana, 2016. |
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