Classification of the nuclear emission of galaxies with photometric data from the S-PLUS survey

• Grant number: 23/13057-2
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: February 01, 2024
• End date: January 31, 2025
• Field of knowledge: Physical Sciences and Mathematics - Astronomy - Extragalactic Astrophysics
• Principal Investigator: Roberto Bertoldo Menezes
• Grantee: Thiago Corrêa e Silva de Moraes
• Host Institution: Escola de Engenharia Mauá (EEM). Instituto Mauá de Tecnologia. São Caetano do Sul , SP, Brazil

Abstract

In the last decades, the volume and complexity of astronomical data have increased considerably. As a consequence, machine learning techniques are being more frequently used in the analysis of such data. In this project, we propose to evaluate the most efficient machine learning techniques (and also the most adequate parameters) to classify the nuclear emission of galaxies as characteristic of Seyfert galaxies, Low Ionization Nuclear Emission-Line Regions (LINERs) or H II regions, using photometric data obtained with the Southern Photometric Local Universe Survey (S-PLUS). We will also evaluate the possibility of applying this methodology to future photometric data to be obtained with the Legacy Survey of Space and Time (LSST).