Please use this identifier to cite or link to this item:
http://hdl.handle.net/2445/114815
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 theses 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 |
URI: | http://hdl.handle.net/2445/114815 |
Appears in Collections: | Treballs Finals de Grau (TFG) - Matemàtiques |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
memòria.pdf | Memòria | 1.55 MB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License