Separation of stars and quasars in multispectral images

• Grant number: 14/10566-4
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: July 01, 2014
• End date: June 30, 2016
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Principal Investigator: Nina Sumiko Tomita Hirata
• Grantee: Lilianne Mariko Izuti Nakazono
• Host Institution: Instituto de Matemática e Estatística (IME). Universidade de São Paulo (USP). São Paulo , SP, Brazil

Abstract

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 identification process is necessary. This research project is within the context of an important international project, the J-PAS, planned to survey a large sky area by capturing multispectral images in the visible spectra. We aim to investigate and develop a method to separate stars and quasars from these multispectral images, by analysing spectral dimension only. For that, signal feature extraction, dimensionality reduction and supervised classification methods will be employed. It is expected that besides the methods per se, this project will also contribute to establish similar initiatives involving effective collaboration among researchers from the fields of Statistics, Computation and Astronomy.

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

ALMEIDA-FERNANDES, F.; SAMPEDRO, L.; HERPICH, F. R.; MOLINO, A.; BARBOSA, C. E.; BUZZO, M. L.; OVERZIER, R. A.; DE LIMA, E. V. R.; NAKAZONO, L. M., I; OLIVEIRA SCHWARZ, G. B.; et al. Data Release 2 of S-PLUS: Accurate template-fitting based photometry covering similar to 1000 deg(2) in 12 optical filters. Monthly Notices of the Royal Astronomical Society, v. 511, n. 3, p. 29-pg., 2022-02-26. (09/54202-8, 16/12331-0, 19/01312-2, 18/09165-6, 19/10923-5, 19/26492-3, 20/00457-4, 19/23388-0, 14/10566-4, 18/20977-2, 19/11910-4, 19/26412-0, 11/51680-6, 18/21250-9, 17/18191-8)

NAKAZONO, L.; DE OLIVEIRA, C. MENDES; HIRATA, N. S. T.; JERAM, S.; QUEIROZ, C.; EIKENBERRY, STEPHEN S.; GONZALEZ, A. H.; ABRAMO, R.; OVERZIER, R.; ESPADOTO, M.; et al. On the discovery of stars, quasars, and galaxies in the Southern Hemisphere with S-PLUS DR2. Monthly Notices of the Royal Astronomical Society, v. 507, n. 4, p. 5847-5868, NOV 2021. (18/09165-6, 19/06766-1, 19/10923-5, 15/22308-2, 19/26492-3, 18/20977-2, 14/10566-4, 19/01312-2, 18/25671-9, 19/23388-0, 17/25835-9, 15/11442-0, 16/12331-0)

LIMA, E. V. R.; SODRE JR, L.; BOM, C. R.; TEIXEIRA, G. S. M.; NAKAZONO, L.; BUZZO, M. L.; QUEIROZ, C.; HERPICH, F. R.; NILO CASTELLON, J. L.; DANTAS, M. L. L.; et al. Photometric redshifts for the S-PLUS Survey: Is machine learning up to the task?. ASTRONOMY AND COMPUTING, v. 38, p. 15-pg., 2022-01-01. (19/06766-1, 09/54006-4, 14/10566-4, 15/11442-0, 19/10923-5, 19/01312-2, 18/09165-6, 18/21661-9)