Bachelor in Statistics from theInstituto de Matemática e Estatística (2013), bachelor in Astronomy from the Instituto de Astronomia, Geofísica e Ciencias Atmosféricas (2016) and PhD in Astronomy from the Instituto de Astronomia, Geofísica e Ciencias Atmosféricas (2024), all from the Universidade de São Paulo. Currently, she is a technologist at the Astronomy department of Observatório Nacional/MCTI. She has experience in the field of Astronomy, with an emphasis on Extragalactic Astrophysics, working mainly on the following topics: machine learning applied to data from large astronomical mappings (classification and photometric redshift), quasars and cosmology. She is a member of the Southern Photometric Local Universe Survey (S-PLUS) and Cosmostatistics Initiative (COIN). (Source: Lattes Curriculum)
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This project is focused on the construction and scientific exploitation of the upcoming J-PAS+WEAVE-QSO quasar survey, as well as the search for very high-redshift quasars using narrow-band filters.The candidate, Ms. Nakazono, will bring her experience in ML techniques, developed in the context of the S-PLUS survey, contributing to improve and extend Machine Learning techniques for quasar…
The Southern Photometric Local Universe Survey (S-PLUS) will allow a variety of scientific studies by observing an area of 8000 square degrees of the southern sky in 12 optical broad, medium and narrow bands. In this project, the student will determine the stellar populations of galaxies in the Hydra cluster, a work intended to demonstrate the IFU-like capability of the S-PLUS survey. The…
Is astronomy, an important task is the identification of specific celestial objects. This task is often performed manually, by analyzing spectral data of the objects. Due to the advances in technology employed to observe these objects, specially of telescopes that are capable of capturing images of hundreds of millions of objects, the use of efficient computational methods to help in this…
In this application we describe two projects for an 1-year BEPE at the University of Washington under Prof. Dr. Zeljko Ivezic's supervision. The first project is an on-going work on quasar photometric redshift estimation using a supervised learning approach and S-PLUS data. With the improved precision of our estimation technique, we will be able to build a quasar candidate catalogue for f…
| 3 / 3 | Completed scholarships in Brazil |
| 1 / 1 | Completed scholarships abroad |
| 4 / 4 | All Scholarships |
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