Miró-Roig, Rosa M. (Rosa Maria)Torra Clotet, Ferran2017-08-312017-08-312017-01-17https://hdl.handle.net/2445/114815Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2017, Director: Rosa Maria Miró RoigThe 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.53 p.application/pdfengcc-by-nc-nd (c) Ferran Torra Clotet, 2017http://creativecommons.org/licenses/by-nc-nd/3.0/esAlgorismes computacionalsTreballs de fi de grauAnàlisi multivariableSatèl·lits científicsVia LàctiaComputer algorithmsBachelor's thesesMultivariate analysisScientific satellitesMilky WayAdvanced clustering techniques for the IDU cross-match in the ESA Gaia missioninfo:eu-repo/semantics/bachelorThesisinfo:eu-repo/semantics/openAccess