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

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Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2022, Tutor: Friedrich Anders

# metadata.dc.description.abstract[].value
In 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 group

# metadata.dc.title[].value
Analysing the red-clump star population of the Milky Way with abundance-space extreme deconvolution