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dc.contributor | Miró-Roig, Rosa M. (Rosa Maria) | |
dc.creator | Torra Clotet, Ferran | |
dc.date | 2017-08-31T09:00:12Z | |
dc.date | 2017-08-31T09:00:12Z | |
dc.date | 2017-01-17 | |
dc.date.accessioned | 2024-12-16T10:25:07Z | |
dc.date.available | 2024-12-16T10:25:07Z | |
dc.identifier | http://hdl.handle.net/2445/114815 | |
dc.identifier.uri | http://fima-docencia.ub.edu:8080/xmlui/handle/123456789/18856 | |
dc.description | Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2017, Director: Rosa Maria Miró Roig | |
dc.description | The cross-match (XM) is a sophisticated process that provides a link between every Gaia observation and the corresponding source in the catalogue. In this work, we describe a generalized method based on clustering analysis for a clustering stage of the Gaia XM, including additional parameters such as magnitude and proper motion. The performance of the implemented algorithm is assessed through real-case examples using Gaia data, and the successful results that were obtained demonstrates that the system behaves as expected. | |
dc.format | 53 p. | |
dc.format | application/pdf | |
dc.language | eng | |
dc.rights | cc-by-nc-nd (c) Ferran Torra Clotet, 2017 | |
dc.rights | http://creativecommons.org/licenses/by-nc-nd/3.0/es | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.source | Treballs Finals de Grau (TFG) - Matemàtiques | |
dc.subject | Algorismes computacionals | |
dc.subject | Treballs de fi de grau | |
dc.subject | Anàlisi multivariable | |
dc.subject | Satèl·lits científics | |
dc.subject | Via Làctia | |
dc.subject | Computer algorithms | |
dc.subject | Bachelor's theses | |
dc.subject | Multivariate analysis | |
dc.subject | Scientific satellites | |
dc.subject | Milky Way | |
dc.title | Advanced clustering techniques for the IDU cross-match in the ESA Gaia mission | |
dc.type | info:eu-repo/semantics/bachelorThesis |
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