CV Lattes
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Universidade de São Paulo (USP). Instituto de Astronomia, Geofísica e Ciências Atmosféricas (IAG) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Technician in Internet Informatics from ETEC (2017). Bachelor's degree in Physics from the University of São Paulo (2023). Master's student in Astronomy at the Institute of Astronomy, Geophysics and Atmospheric Sciences (IAG-USP), with completion in June 2025. Has experience in the field of Astronomy, with emphasis on machine learning applied to data from large astronomical surveys and on the study of dwarf galaxies. Member of the Southern Photometric Local Universe Survey (S-PLUS), and has been working as a researcher in projects focused on the search for new overdensities in the Milky Way and, currently, on the identification of ultra-compact dwarf galaxies using S-PLUS data. (Source: Lattes Curriculum)
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Multi-band surveys such as the Southern photometric Local Universe survey (Mendes de Oliveira et al. 2019) have a key advantage: the narrow band that covers the magnesium triplet (filter J0515) is sensitive to the surface gravity of stars, which allows the selection of distant giant stars (e.g. Majewski et al., 2000). Cleaning the sample of nearby dwarf stars is crucial, as they can corre…
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