Machine Learning Classifier for the Large Magellanic Cloud using Gaia EDR3 data

Muros Sanchez, Arnau

Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/188734

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DC Field	Value	Language
dc.contributor.advisor	Luri Carrascoso, Xavier	-
dc.contributor.advisor	Jiménez Arranz, Óscar	-
dc.contributor.author	Muros Sanchez, Arnau	-
dc.date.accessioned	2022-09-06T13:12:24Z	-
dc.date.available	2022-09-06T13:12:24Z	-
dc.date.issued	2022-06	-
dc.identifier.uri	http://hdl.handle.net/2445/188734	-
dc.description	Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2022, Tutors: Xavier Luri Carrascoso, Óscar Jiménez Arranz	ca
dc.description.abstract	In this paper, we develop a method to classify the stars from the Gaia Early Data Release 3 (Gaia EDR3) in order to distinguish the Large Magellanic Cloud stars from the Milky Way stars. To do so, several machine learning algorithms have been adapted, tested and applied	ca
dc.format.extent	5 p.	-
dc.format.mimetype	application/pdf	-
dc.language.iso	eng	ca
dc.rights	cc-by-nc-nd (c) Muros, 2022	-
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/es/	*
dc.source	Treballs Finals de Grau (TFG) - Física	-
dc.subject.classification	Classificació dels estels	cat
dc.subject.classification	Aprenentatge automàtic	cat
dc.subject.classification	Treballs de fi de grau	cat
dc.subject.other	Star Classification	eng
dc.subject.other	Machine learning	eng
dc.subject.other	Bachelor's theses	eng
dc.title	Machine Learning Classifier for the Large Magellanic Cloud using Gaia EDR3 data	eng
dc.type	info:eu-repo/semantics/bachelorThesis	ca
dc.rights.accessRights	info:eu-repo/semantics/openAccess	ca
Appears in Collections:	Treballs Finals de Grau (TFG) - Física

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MUROS SÁNCHEZ ARNAU_6057524_assignsubmission_file_TFG-Muros-Sanchez-Arnau.pdf		2.11 MB	Adobe PDF	View/Open

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