Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/115061
Title: A comparative analysis of data mining algorithms to mitigate spurious detections in Gaia
Author: Pallares Guimera, Esther
Director/Tutor: Figueras Siñol, Francesca
Keywords: Observatoris astronòmics
Algorismes computacionals
Treballs de fi de grau
Astronomical observatories
Computer algorithms
Bachelor's thesis
Issue Date: Jan-2017
Abstract: Gaia is an ESA mission that observes about 50 million sources per day. A small part of these detections are considered spurious generated for example by cosmic rays. The main objective of this study is to perform a comparative analysis of several algorithms to automatically detect spurious detections. Successfully identifying these detections is important to prevent them from entering the cross-match stage where they create several problems and degrade resolution performance. We will use appropriate metrics to determine the execution and assess the algorithms. Finally, it will be discussed if any of these data mining algorithms could be a good solution to the spurious detection problem.
Note: Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2017, Tutora: Francesca Figueras
URI: http://hdl.handle.net/2445/115061
Appears in Collections:Treballs Finals de Grau (TFG) - Física

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