Artificial inteligence tools for large galaxy surveys

• Grant number: 19/10923-5
• Support Opportunities: Regular Research Grants
• Start date: May 01, 2020
• End date: April 30, 2022
• Field of knowledge: Physical Sciences and Mathematics - Astronomy - Extragalactic Astrophysics
• Principal Investigator: Laerte Sodré Junior
• Grantee: Laerte Sodré Junior
• Host 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)

Scientific publications

(14)

(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)

LOPEZ-SANJUAN, C.; TREMBLAY, P-E; EDEROCLITE, A.; RAMIO, H. VAZQUEZ; CENARRO, A. J.; MARIN-FRANCH, A.; VARELA, J.; AKRAS, S.; GUERRERO, M. A.; JIMENEZ-ESTEBAN, F. M.; et al. The miniJPAS survey: White dwarf science with 56 optical filters. Astronomy & Astrophysics, v. 665, p. 13-pg., 2022-09-23. (20/00457-4, 19/10923-5)

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)

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)

LOPEZ-SANJUAN, C.; YUAN, H.; VAZQUEZ RAMIO, H.; VARELA, J.; CRISTOBAL-HORNILLOS, D.; TREMBLAY, P. -E.; MARIN-FRANCH, A.; CENARRO, A. J.; EDEROCLITE, A.; ALFARO, E. J.; et al. J-PLUS: Systematic impact of metallicity on photometric calibration with the stellar locus. Astronomy & Astrophysics, v. 654, OCT 11 2021. (19/10923-5)

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)

RODRIGUES, NATALIA V. N.; RAUL ABRAMO, L.; QUEIROZ, CAROLINA; MARTINEZ-SOLAECHE, GINES; PEREZ-RAFOLS, IGNASI; BONOLI, SILVIA; CHAVES-MONTERO, JONAS; PIERI, MATTHEW M.; GONZALEZ DELGADO, ROSA M.; MORRISON, SEAN S.; et al. The miniJPAS survey quasar selection - II. Machine learning classification with photometric measurements and uncertainties. Monthly Notices of the Royal Astronomical Society, v. 520, n. 3, p. 16-pg., 2023-02-15. (15/11442-0, 19/06766-1, 19/10923-5)

IGLESIAS-PARAMO, J.; ARROYO, A.; KEHRIG, C.; VILCHEZ, J. M.; PUERTAS, S. DUARTE; PEREZ-MONTERO, E.; BREDA, I; JIMENEZ-TEJA, Y.; SANJUAN, C. LOPEZ; LUMBRERAS-CALLE, A.; et al. The miniJPAS survey: A search for extreme emission-line galaxies. Astronomy & Astrophysics, v. 665, p. 26-pg., 2022-09-14. (19/10923-5)

MARTINEZ-SOLAECHE, G.; GONZALEZ DELGADO, R. M.; GARCIA-BENITO, R.; DIAZ-GARCIA, L. A.; RODRIGUEZ-MARTIN, J. E.; PEREZ, E.; DE AMORIM, A.; DUARTE PUERTAS, S.; SODRE, L., JR.; SOBRAL, D.; et al. The miniJPAS survey: Identification and characterization of the emission line galaxies down to z < 0.35 in the AEGIS field. Astronomy & Astrophysics, v. 661, p. 21-pg., 2022-05-09. (19/10923-5)

RODRIGUEZ-MARTIN, J. E.; DELGADO, R. M. GONZALEZ; MARTINEZ-SOLAECHE, G.; DIAZ-GARCIA, L. A.; DE AMORIM, A.; GARCIA-BENITO, R.; PEREZ, E.; FERNANDES, R. CID; CARRASCO, E. R.; MATURI, M.; et al. The miniJPAS survey Galaxy populations in the most massive cluster in miniJPAS: mJPC2470-1771. Astronomy & Astrophysics, v. 666, p. 24-pg., 2022-10-21. (18/05392-8, 19/10923-5)

DELGADO, R. M. GONZALEZ; DIAZ-GARCIA, L. A.; DE AMORIM, A.; BRUZUAL, G.; FERNANDES, R. CID; PEREZ, E.; BONOLI, S.; CENARRO, A. J.; COELHO, P. R. T.; CORTESI, A.; et al. The miniJPAS survey: Identification and characterization of galaxy populations with the J-PAS photometric system. Astronomy & Astrophysics, v. 649, MAY 13 2021. (18/05392-8, 19/10923-5)

MARTINEZ-SOLAECHE, G.; GONZALEZ DELGADO, R. M.; GARCIA-BENITO, R.; DE AMORIM, A.; PEREZ, E.; RODRIGUEZ-MARTIN, J. E.; DIAZ-GARCIA, L. A.; CID FERNANDES, R.; LOPEZ-SANJUAN, C.; BONOLI, S.; et al. J-PAS: Measuring emission lines with artificial neural networks. Astronomy & Astrophysics, v. 647, p. 19-pg., 2021-03-26. (19/10923-5)

GONZALEZ DELGADO, R. M.; RODRIGUEZ-MARTIN, J. E.; DIAZ-GARCIA, L. A.; DE AMORIM, A.; GARCIA-BENITO, R.; MARTINEZ-SOLAECHE, G.; LOPES, P. A. A.; MATURI, M.; PEREZ, E.; FERNANDES, R. CID; et al. The miniJPAS survey The role of group environment in quenching star formation. Astronomy & Astrophysics, v. 666, p. 20-pg., 2022-10-10. (19/10923-5)

BOM, C. R.; CORTESI, A.; LUCATELLI, G.; DIAS, L. O.; SCHUBERT, P.; OLIVEIRA SCHWARZ, G. B.; CARDOSO, N. M.; LIMA, E. V. R.; DE OLIVEIRA, C. MENDES; SODRE, L.; et al. Deep Learning assessment of galaxy morphology in S-PLUS Data Release 1. Monthly Notices of the Royal Astronomical Society, v. 507, n. 2, p. 1937-1955, OCT 2021. (19/26492-3, 09/54202-8, 19/10923-5, 19/11910-4)

QUEIROZ, CAROLINA; ABRAMO, L. RAUL; RODRIGUES, NATALIA V. N.; PEREZ-RAFOLS, IGNASI; MARTINEZ-SOLAECHE, GINES; HERNAN-CABALLERO, ANTONIO; HERNANDEZ-MONTEAGUDO, CARLOS; LUMBRERAS-CALLE, ALEJANDRO; PIERI, MATTHEW M.; MORRISON, SEAN S.; et al. The miniJPAS survey quasar selection - I. Mock catalogues for classification. Monthly Notices of the Royal Astronomical Society, v. 520, n. 3, p. 18-pg., 2023-02-15. (15/11442-0, 19/06766-1, 19/10923-5)