Identifica??o de candidatas a gal?xias interagentes no infravermelho pr?ximo a baixos redshifts

Detalhes bibliográficos
Ano de defesa: 2016
Autor(a) principal: Cerqueira, Stanley Miranda lattes
Orientador(a): Am?res, Eduardo Brescansin de
Banca de defesa: Não Informado pela instituição
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.
id UEFS_d1b653ad00795e0ebe7541f08435f723
oai_identifier_str oai:tede2.uefs.br:8080:tede/446
network_acronym_str UEFS
network_name_str Biblioteca Digital de Teses e Dissertações da UEFS
repository_id_str
spelling 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.
publishDate 2016
dc.date.issued.fl_str_mv 2016-08-26
dc.date.accessioned.fl_str_mv 2017-02-16T20:59:48Z
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.citation.fl_str_mv 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.
dc.identifier.uri.fl_str_mv http://localhost:8080/tede/handle/tede/446
identifier_str_mv 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.
url http://localhost:8080/tede/handle/tede/446
dc.language.iso.fl_str_mv por
language por
dc.relation.program.fl_str_mv 303317282311144204
dc.relation.confidence.fl_str_mv 600
600
600
dc.relation.department.fl_str_mv 4335108523020347051
dc.relation.cnpq.fl_str_mv 2537097787318135684
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Estadual de Feira de Santana
dc.publisher.program.fl_str_mv Mestrado em Computa??o Aplicada
dc.publisher.initials.fl_str_mv UEFS
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv DEPARTAMENTO DE TECNOLOGIA
publisher.none.fl_str_mv Universidade Estadual de Feira de Santana
dc.source.none.fl_str_mv reponame:Biblioteca Digital de Teses e Dissertações da UEFS
instname:Universidade Estadual de Feira de Santana (UEFS)
instacron:UEFS
instname_str Universidade Estadual de Feira de Santana (UEFS)
instacron_str UEFS
institution UEFS
reponame_str Biblioteca Digital de Teses e Dissertações da UEFS
collection Biblioteca Digital de Teses e Dissertações da UEFS
bitstream.url.fl_str_mv http://tede2.uefs.br:8080/bitstream/tede/446/4/Dissertacao_vencaderna%C3%A7%C3%A3o_stanley+pen.pdf.jpg
http://tede2.uefs.br:8080/bitstream/tede/446/3/Dissertacao_vencaderna%C3%A7%C3%A3o_stanley+pen.pdf.txt
http://tede2.uefs.br:8080/bitstream/tede/446/2/Dissertacao_vencaderna%C3%A7%C3%A3o_stanley+pen.pdf
http://tede2.uefs.br:8080/bitstream/tede/446/1/license.txt
bitstream.checksum.fl_str_mv a3e99987db09540d9485c60f831c921d
4a0e49be6103ee4762d7697585bf4ce1
0d3e85f49b888f28a8dbbd1eeaf8d738
7b5ba3d2445355f386edab96125d42b7
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
MD5
repository.name.fl_str_mv Biblioteca Digital de Teses e Dissertações da UEFS - Universidade Estadual de Feira de Santana (UEFS)
repository.mail.fl_str_mv bcuefs@uefs.br|| bcref@uefs.br||bcuefs@uefs.br
_version_ 1845618185767747584