Analysing the red-clump star population of the Milky Way with abundance-space extreme deconvolution

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dc.contributor.advisorAnders, Friedrich
dc.contributor.authorCuevas Bullich, Aleix
dc.date.accessioned2022-10-06T16:52:53Z
dc.date.available2022-10-06T16:52:53Z
dc.date.issued2022-02
dc.descriptionTreballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2022, Tutor: Friedrich Andersca
dc.description.abstractIn this work we use the Extreme Deconvolution algorithm to extract the underlying distribution function from an heterogeneous and noisy star sample of 10,941 Red Clumps from the GALAH+ DR3 survey. This algorithm allows us to describe the density probability function as a sum of Gaussians that we can interpret as distinct Galactic components. We are able to clearly distinguish the thin and thick disk components, and the hαmr groupca
dc.format.extent5 p.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/2445/189706
dc.language.isoengca
dc.rightscc-by-nc-nd (c) Cuevas, 2022
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.sourceTreballs Finals de Grau (TFG) - Física
dc.subject.classificationVia Làctiacat
dc.subject.classificationAgrupament vermellcat
dc.subject.classificationTreballs de fi de graucat
dc.subject.otherMilky Wayeng
dc.subject.otherRed clumpeng
dc.subject.otherBachelor's theseseng
dc.titleAnalysing the red-clump star population of the Milky Way with abundance-space extreme deconvolutioneng
dc.typeinfo:eu-repo/semantics/bachelorThesisca

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