| Full text | |
| Author(s): Show less - |
Nakazono, L.
;
Valenca, R. R.
;
Soares, G.
;
Izbicki, R.
;
Ivezic, Z.
;
R Lima, E., V
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Hirata, N. S. T.
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Sodre Jr, L.
;
Overzier, R.
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Almeida-Fernandes, F.
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Oliveira Schwarz, G. B.
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Schoenell, W.
;
Kanaan, A.
;
Ribeiro, T.
;
de Oliveira, C. Mendes
Total Authors: 15
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| Document type: | Journal article |
| Source: | Monthly Notices of the Royal Astronomical Society; v. 531, n. 1, p. 13-pg., 2024-05-14. |
| Abstract | |
The advent of massive broad-band photometric surveys enabled photometric redshift estimates for unprecedented numbers of galaxies and quasars. These estimates can be improved using better algorithms or by obtaining complementary data such as narrow-band photometry, and broad-band photometry over an extended wavelength range. We investigate the impact of both approaches on photometric redshifts for quasars using data from Southern Photometric Local Universe Survey (S-PLUS) DR4, Galaxy Evolution Explorer (GALEX) DR6/7, and the unWISE catalog for the Wide-field Infrared Survey Explorer (WISE) in three machine learning methods: Random Forest, Flexible Conditional Density Estimation (FlexCoDE), and Bayesian Mixture Density Network (BMDN). Including narrow-band photometry improves the root-mean-square error by 11 per cent in comparison to a model trained with only broad-band photometry. Narrow-band information only provided an improvement of 3.8 per cent when GALEX and WISE colours were included. Thus, narrow bands play a more important role for objects that do not have GALEX or WISE counterparts, which respectively makes 92 per cent and 25 per cent of S-PLUS data considered here. Nevertheless, the inclusion of narrow-band information provided better estimates of the probability density functions obtained with FlexCoDE and BMDN. We publicly release a value-added catalogue of photometrically selected quasars with the photo-z predictions from all methods studied here. The catalogue provided with this work covers the S-PLUS DR4 area (similar to 3000 square degrees), containing 645 980, 244 912, 144 991 sources with the probability of being a quasar higher than, 80 per cent, 90 per cent, 95 per cent up to r < 21.3 and good photometry quality in the detection image. More quasar candidates can be retrieved from the S-PLUS data base by considering less restrictive selection criteria. (AU) | |
| FAPESP's process: | 19/26492-3 - Science with the Brazilian robotic telescope |
| Grantee: | Claudia Lucia Mendes de Oliveira |
| Support Opportunities: | Special Projects |
| FAPESP's process: | 23/07068-1 - Statistical machine learning: toward better uncertainty quantification |
| Grantee: | Rafael Izbicki |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 21/12744-0 - Assessing the importance of narrow-band filters in large-sky surveys |
| Grantee: | Lilianne Mariko Izuti Nakazono |
| Support Opportunities: | Scholarships abroad - Research Internship - Doctorate (Direct) |
| FAPESP's process: | 21/08983-0 - Determining distances of quasars in S-PLUS using deep learning |
| Grantee: | Raquel Ruiz Valença |
| Support Opportunities: | Scholarships in Brazil - Scientific Initiation |
| FAPESP's process: | 18/20977-2 - Identification of giant stars for mapping our Galaxy in the S-PLUS survey |
| Grantee: | Felipe de Almeida Fernandes |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |
| FAPESP's process: | 19/11321-9 - Neural networks in statistical inference problems |
| Grantee: | Rafael Izbicki |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 11/51680-6 - Exploring the universe: from the galaxies formation to Earth-like planets with the Giant Magellan Telescope |
| Grantee: | Laerte Sodré Junior |
| Support Opportunities: | Special Projects |
| FAPESP's process: | 21/09468-1 - Study of stellar populations in the S-PLUS survey |
| Grantee: | Felipe de Almeida Fernandes |
| Support Opportunities: | Scholarships abroad - Research Internship - Post-doctor |
| FAPESP's process: | 23/05003-0 - Detection of anomalous objects in S-PLUS |
| Grantee: | Raquel Ruiz Valença |
| Support Opportunities: | Scholarships in Brazil - Doctorate (Direct) |
| FAPESP's process: | 19/01312-2 - Stellar populations of galaxies in the Hydra cluster: an IFU-like approach |
| Grantee: | Lilianne Mariko Izuti Nakazono |
| Support Opportunities: | Scholarships in Brazil - Doctorate (Direct) |
| FAPESP's process: | 15/22308-2 - Intermediate representations in Computational Science for knowledge discovery |
| Grantee: | Roberto Marcondes Cesar Junior |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 22/15304-4 - Learning context rich representations for computer vision |
| Grantee: | Nina Sumiko Tomita Hirata |
| Support Opportunities: | Research Projects - Thematic Grants |