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Artificial inteligence tools for large galaxy surveys

Grant number: 19/10923-5
Support type:Regular Research Grants
Duration: May 01, 2020 - April 30, 2022
Field of knowledge:Physical Sciences and Mathematics - Astronomy - Extragalactic Astrophysics
Principal Investigator:Laerte Sodré Junior
Grantee:Laerte Sodré Junior
Home Institution: Instituto de Astronomia, Geofísica e Ciências Atmosféricas (IAG). Universidade de São Paulo (USP). São Paulo , SP, Brazil

Abstract

We plan to use {\it machine learning} and {\it deep learning} tools in the analysis of large photometric and spectroscopic surveys, such as S-PLUS, J-PLUS, J-PAS and PFS, to extract the information contained in the large datasets that are or will be generated by these projects. Our initial focus is the analysis of the data that S-PLUS has been obtaining, but the techniques will be applied later to the J-PLUS, J-PAS and PFS projects. For this we will invest both in the implementation of algorithms and in the preparation of training sets suitable for our scientific purposes. The results of the project, such as photometric redshifts and parameters describing properties of stellar populations of galaxies, will be useful for many applications. (AU)