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Previous issue date: 2017-08-29 / In this work, we present an alternative method for clustering of galaxies, based on the data of galaxies available in large scale astronomical surveys. We have used the Friends of Friends (FoF) algorithm, as the basis of our clustering, with LL (Linking Length) and the minimum value of separation between galaxies, as our parameters. We have used a catalogue with approximately 44 thousand galaxies. After the simulation with six different values of LL, we analysed our clustering by means of the comparison with the obtained one by Tempel et al. (2016). In this comparison, we obtained a similarity of 79%. We also supplemented the validation of our method with an analysis of the silhouette coefficient, obtaining a general coefficient equal to 0.80. We present the characteristics of the groups obtained in our work, their comparison with the obtained one by Tempel et al. (2016) as well as the discussion with the non-grouped galaxies. / Neste trabalho apresentamos um m?todo alternativo para agrupamento de gal?xias, por meio do uso, dos dados de gal?xias dispon?veis em grandes levantamentos astron?micos. Utilizamos o algoritmo FoF, Friends of Friends, como base para o agrupamento, com os par?metros de LL (Linking Length) e o valor m?nimo de gal?xias, em comum para definir a uni?o entre grupos pr?ximos. Utilizamos um cat?logo com aproximadamente 44 mil gal?xias e ap?s a simula??o com seis valores distintos para o LL, e com a compara??o dos respectivos agrupamentos com os obtidos por Tempel et al. (2016), obtivemos, similaridade, de aproximadamente 79%. Complementamos a avalia??o com uma an?lise do Coeficiente se Silhueta, e encontramos agrupamentos com coeficiente geral de 0,80. Apresentamos a discuss?o e caracter?sticas dos grupos obtidos, assim como das gal?xias n?o agrupadas.
| Identifer | oai:union.ndltd.org:IBICT/oai:tede2.uefs.br:8080:tede/579 |
| Date | 29 August 2017 |
| Creators | Almirante, Adilson Oliveira de |
| Contributors | Am?res, Eduardo Brescansin de |
| Publisher | Universidade Estadual de Feira de Santana, Mestrado em Computa??o Aplicada, UEFS, Brasil, DEPARTAMENTO DE TECNOLOGIA |
| Source Sets | IBICT Brazilian ETDs |
| Language | Portuguese |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, info:eu-repo/semantics/masterThesis |
| Format | application/pdf |
| Source | reponame:Biblioteca Digital de Teses e Dissertações da UEFS, instname:Universidade Estadual de Feira de Santana, instacron:UEFS |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | 303317282311144204, 600, 600, 600, 4335108523020347051, 8930092515683771531 |
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