Clustering of temporal series of variable stars: a detailed analysis of the central regions of the Milky Way using the VVV survey
This thesis is to generate time series to understand the temporal variability of stars in these astronomical regions, followed by their classification using semi-supervised machine learning techniques.
- Autores:
-
Cárdenas Uribe, Camila
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2024
- Institución:
- Universidad de los Andes
- Repositorio:
- Séneca: repositorio Uniandes
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.uniandes.edu.co:1992/74370
- Acceso en línea:
- https://hdl.handle.net/1992/74370
- Palabra clave:
- Astronomy
Clustering
VVV survey
Machine learning
Variable Star
Variability
Milky Way
Física
- Rights
- openAccess
- License
- Attribution-NoDerivatives 4.0 International
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Clustering of temporal series of variable stars: a detailed analysis of the central regions of the Milky Way using the VVV survey |
| dc.title.alternative.none.fl_str_mv |
Agrupamiento de series temporales de estrellas variables: Un análisis detallado de la región central de la Vía Láctea usando el catálogo VVV |
| title |
Clustering of temporal series of variable stars: a detailed analysis of the central regions of the Milky Way using the VVV survey |
| spellingShingle |
Clustering of temporal series of variable stars: a detailed analysis of the central regions of the Milky Way using the VVV survey Astronomy Clustering VVV survey Machine learning Variable Star Variability Milky Way Física |
| title_short |
Clustering of temporal series of variable stars: a detailed analysis of the central regions of the Milky Way using the VVV survey |
| title_full |
Clustering of temporal series of variable stars: a detailed analysis of the central regions of the Milky Way using the VVV survey |
| title_fullStr |
Clustering of temporal series of variable stars: a detailed analysis of the central regions of the Milky Way using the VVV survey |
| title_full_unstemmed |
Clustering of temporal series of variable stars: a detailed analysis of the central regions of the Milky Way using the VVV survey |
| title_sort |
Clustering of temporal series of variable stars: a detailed analysis of the central regions of the Milky Way using the VVV survey |
| dc.creator.fl_str_mv |
Cárdenas Uribe, Camila |
| dc.contributor.advisor.none.fl_str_mv |
García Varela, José Alejandro |
| dc.contributor.author.none.fl_str_mv |
Cárdenas Uribe, Camila |
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Sabogal Martínez, Beatriz Eugenia |
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Facultad de Ciencias::Astrofísica |
| dc.subject.keyword.eng.fl_str_mv |
Astronomy Clustering VVV survey Machine learning Variable Star Variability Milky Way |
| topic |
Astronomy Clustering VVV survey Machine learning Variable Star Variability Milky Way Física |
| dc.subject.themes.spa.fl_str_mv |
Física |
| description |
This thesis is to generate time series to understand the temporal variability of stars in these astronomical regions, followed by their classification using semi-supervised machine learning techniques. |
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2024 |
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2024-06-24T15:00:26Z |
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2024-06-24T15:00:26Z |
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2024-06-22 |
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Trabajo de grado - Pregrado |
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info:eu-repo/semantics/bachelorThesis |
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eng |
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eng |
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Angeloni, R. et al. 2014, A&A, 567, 100 Arribas, L. 2019, undergraduate thesis, Universitat Oberta de Catalunya Buitrago, F. & González, M. 2020, MNRAS, 13, 46 Cole, A. et al. 2023, ApJ, 2, 73 Fernández, M. 2002, undergraduate thesis, Universidad de Madrid Ferreira, C. et al. 2015, A&A, 573, 78 Gaposchkin, C. 1954, Harvard University Press, 96, 555 Goodricke, J. 1783, Philosophical Transactions of the Royal Society of London, 1, 479 Goodricke, J. 1783, Philosophical Transactions of the Royal Society of London, 73, 479 Gould, B. A. 1885, AJ, 4, 134 Halley, E. 1705, A Synopsis of the Astronomy of Comets (John-Senex) Huertas, M. & Pérez, E. 2021, A&A, 17, 38 Jayasinghe, T. et al. 2018, MNRAS, 477, 3145 Karttunen, H. et al. 2007, Fundamental Astronomy (Springer) Leavitt, H. & Pickering, E. 1912, Harvard College Observatory Circular, 173, 3 McInnes, L. & Healy, J. 2017, IEEE International Conference, 2, 18 Minniti, D. & Pullen, J. 2010, UAI, 14, 26 Minniti, D. et al. 2010, New Astron, 15, 433 Molnar, T. et al. 2022, MNRAS, 509, 2566 Ostlie, A. & Carroll, W. 1996, An Introduction to Moderm Astrophysics (Addison-Wesley) Oviedo, C. 2018, undergraduate thesis, Universidad Nacional de Córdoba Pantoja, D. 2023, Ph.D thesis, Pontificia Universidad Católica de Chile Pavlovski, K. et al. 2022, Nature Astronomy, 3, 58 Popper, D. 1980, A&AR, 121, 56 Rodríguez, B. 2012, undergraduate thesis, Universidad de los Andes Rodríguez, B. 2024, Ph.D thesis, Universidad de los Andes Saito, R. et al. 2012, A&A, 13, 12 Samus, N. et al. 2017, Astron. Rep., 61, 80 Schlegel, D. J. 1998, ApJ, 37, 53 Soszyński, I. et al. 2008, Acta Astron, 66, 56 Sterken, C. & Jasch, C. 1999, Astronomical Photometry (Springer) Stewart, G. & Al-Khassaweneh, M. 2022, Appl. Sci, 5, 20 Udalski, A. et al. 2008, Acta Astron, 58, 69 Udalski, A. et al. 2015, Acta Astron, 65, 49 Watson, C. et al. 2006, A&A, 25, 47 Wright, E. L. et al. 2020, ApJ, 188 Yuan-Chun, W. et al. 2019, ApJ, 877, 21 |
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openAccess |
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156 páginas |
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application/pdf |
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Universidad de los Andes |
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Física |
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Facultad de Ciencias |
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Departamento de Física |
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Universidad de los Andes |
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García Varela, José Alejandrovirtual::18336-1Cárdenas Uribe, CamilaSabogal Martínez, Beatriz Eugeniavirtual::18337-1Facultad de Ciencias::Astrofísica2024-06-24T15:00:26Z2024-06-24T15:00:26Z2024-06-22https://hdl.handle.net/1992/74370instname:Universidad de los Andesreponame:Repositorio Institucional Sénecarepourl:https://repositorio.uniandes.edu.co/This thesis is to generate time series to understand the temporal variability of stars in these astronomical regions, followed by their classification using semi-supervised machine learning techniques.This thesis focuses on the exploration of stellar variability in the central regions of the Milky Way, specifically in Sagittarius, through the VVV (VISTA Variables in the Milky Way) survey. The project has generated an extensive data set of infrared observations captured by the VISTA telescope at ESO's Paranal Observatory in Chile between 2010 and 2015. Following the publication of the data collected in the VVV survey, Ph.D. in Physics Bayron Rodríguez, from the Universidad de los Andes, meticulously processed this information into photometric time series for fields b278 and b279 as part of his doctoral thesis (Rodríguez 2024) with the aim of exploring the performance of supervised classifiers. Starting from these data, the main objective of this thesis is to generate time series to understand the temporal variability of stars in these astronomical regions, followed by their classification using semi-supervised machine learning techniques. In this context, the research of this thesis processes these time series with at least 58 bright points, implementing clustering and random forest techniques in the b278 and b279 fields. Specifically, a training sample with known labels is used to classify variable and non-variable stars. The application of this methodology to time series aims to generate patterns of stellar behavior that may not have been evident in previous approaches (Rodríguez, 2019). Photometric time series thus act as fundamental features for the clustering process, representing the luminous evolution of a star over time and capturing its intrinsic variability. The method is developed by processing the time series to ensure the consistency and quality of the data, generating a training sample of the classes of Cepheid stars, RRLyræ, long period variables and eclipsing binaries. The results obtained are very encouraging and significant in the field of variable star classification within the VVV survey, achieving an accuracy of 98.88% and an F1 score of 98.79%. These results highlight the effectiveness and robustness of the semi-supervised methods and the generalization capacity of the model to other fields in the galactic bulge.PregradoStellar Variability156 páginasapplication/pdfengUniversidad de los AndesFísicaFacultad de CienciasDepartamento de FísicaAttribution-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Clustering of temporal series of variable stars: a detailed analysis of the central regions of the Milky Way using the VVV surveyAgrupamiento de series temporales de estrellas variables: Un análisis detallado de la región central de la Vía Láctea usando el catálogo VVVTrabajo de grado - Pregradoinfo:eu-repo/semantics/bachelorThesisinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_7a1fTexthttp://purl.org/redcol/resource_type/TPAstronomyClusteringVVV surveyMachine learningVariable StarVariabilityMilky WayFísicaAngeloni, R. et al. 2014, A&A, 567, 100Arribas, L. 2019, undergraduate thesis, Universitat Oberta de CatalunyaBuitrago, F. & González, M. 2020, MNRAS, 13, 46Cole, A. et al. 2023, ApJ, 2, 73Fernández, M. 2002, undergraduate thesis, Universidad de MadridFerreira, C. et al. 2015, A&A, 573, 78Gaposchkin, C. 1954, Harvard University Press, 96, 555Goodricke, J. 1783, Philosophical Transactions of the Royal Society of London, 1, 479Goodricke, J. 1783, Philosophical Transactions of the Royal Society of London, 73, 479Gould, B. A. 1885, AJ, 4, 134Halley, E. 1705, A Synopsis of the Astronomy of Comets (John-Senex)Huertas, M. & Pérez, E. 2021, A&A, 17, 38Jayasinghe, T. et al. 2018, MNRAS, 477, 3145Karttunen, H. et al. 2007, Fundamental Astronomy (Springer)Leavitt, H. & Pickering, E. 1912, Harvard College Observatory Circular, 173, 3McInnes, L. & Healy, J. 2017, IEEE International Conference, 2, 18Minniti, D. & Pullen, J. 2010, UAI, 14, 26Minniti, D. et al. 2010, New Astron, 15, 433Molnar, T. et al. 2022, MNRAS, 509, 2566Ostlie, A. & Carroll, W. 1996, An Introduction to Moderm Astrophysics (Addison-Wesley)Oviedo, C. 2018, undergraduate thesis, Universidad Nacional de CórdobaPantoja, D. 2023, Ph.D thesis, Pontificia Universidad Católica de ChilePavlovski, K. et al. 2022, Nature Astronomy, 3, 58Popper, D. 1980, A&AR, 121, 56Rodríguez, B. 2012, undergraduate thesis, Universidad de los AndesRodríguez, B. 2024, Ph.D thesis, Universidad de los AndesSaito, R. et al. 2012, A&A, 13, 12Samus, N. et al. 2017, Astron. Rep., 61, 80Schlegel, D. J. 1998, ApJ, 37, 53Soszyński, I. et al. 2008, Acta Astron, 66, 56Sterken, C. & Jasch, C. 1999, Astronomical Photometry (Springer)Stewart, G. & Al-Khassaweneh, M. 2022, Appl. Sci, 5, 20Udalski, A. et al. 2008, Acta Astron, 58, 69Udalski, A. et al. 2015, Acta Astron, 65, 49Watson, C. et al. 2006, A&A, 25, 47Wright, E. L. et al. 2020, ApJ, 188Yuan-Chun, W. et al. 2019, ApJ, 877, 21202011696Publication88a1271b-7c5b-4cba-a02a-87878aba01e4virtual::18336-188a1271b-7c5b-4cba-a02a-87878aba01e4virtual::18336-11d39bc41-f9d3-461b-a7cc-84296451800fvirtual::18337-11d39bc41-f9d3-461b-a7cc-84296451800fvirtual::18337-1https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000382418virtual::18336-1https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000382310virtual::18337-1ORIGINALClustering of temporal series of variable stars a detailed analysis of the central regions of the Milky Way using the VVV survey.pdfClustering of temporal series of variable stars a detailed analysis of the central regions of the Milky Way using the VVV survey.pdfapplication/pdf7838436https://repositorio.uniandes.edu.co/bitstreams/d6ab3380-01c3-4ed3-992c-c43a3e9823d6/download831684b7579910e8ea7386ee29f7f048MD51Formato de autorizacion y entrega de tesis.pdfFormato de autorizacion 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