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 |
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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 |
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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 |
|