CV Lattes
Universidade de São Paulo (USP). Instituto de Astronomia, Geofísica e Ciências Atmosféricas (IAG) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Graduated in BSc. Physics, at Universidade de São Paulo (2004), MSc. in Astronomy at Universidade de São Paulo (2007), PhD in Astronomy at Universidade de São Paulo (2007) and post-doctorate in Extragalactic Astrophysics at University College London (2014). Has experience in Astronomy, focusing on Extragalactic Astrophysics, acting on the following subjects: photometric redshifts, virtual observatory, fossil groups, photometric surveys, data mining, machine learning and astrophysical data processing in general. (Source: Lattes Curriculum)
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In this project, we intend to continue the development of the photometric redshift method based on the technique Locally Weighted Regression and apply it to identify large scale structures. During his Masters work, the student implemented, tested and applied a photometric redshift estimator using that technique. This estimator should be enhanced and its incorporation to a hybrid algorithm…
We intend to implement and test, using data from Sloan Digital Sky Survey (SDSS), a photometric redshift estimator based on the Locally Weighted Regression method and that includes priors on, for instance, the expected redshift distribution in a sample limited by magnitude. This estimator will be used later to search for galaxy clusters at high redshifts in the SDSS database.
| 3 / 2 | Completed scholarships in Brazil |
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