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Title: Advanced clustering techniques for the IDU cross-match in the ESA Gaia mission
Author: Torra Clotet, Ferran
Director/Tutor: Miró-Roig, Rosa M. (Rosa Maria)
Keywords: Algorismes computacionals
Treballs de fi de grau
Anàlisi multivariable
Satèl·lits científics
Via Làctia
Computer algorithms
Bachelor's thesis
Multivariate analysis
Scientific satellites
Milky Way
Issue Date: 17-Jan-2017
Abstract: 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.
Note: Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2017, Director: Rosa Maria Miró Roig
Appears in Collections:Treballs Finals de Grau (TFG) - Matemàtiques

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