Published June 1, 2021
| Version v1
Dataset
Open
Deep Learning Assessment of galaxy morphology in S-PLUS DataRelease 1
Authors/Creators
- 1. Centro Brasileiro de Pesquisas F\'isicas, Rua Dr. Xavier Sigaud 150, CEP 22290-180, Rio de Janeiro, RJ, Brazil
- 2. Valongo Observatory, Federal University of Rio de Janeiro, Ladeira Pedro Antonio 43, Saude Rio de Janeiro, RJ, 20080-090, Brazil
- 3. Universidade de S\~ao Paulo, IAG, Rua do Mato 1225, Sao Paulo, SP, Brazil
- 4. Universidade Presbiteriana Mackenzie, R. da Consola\c{c}\~ao, 930 - Consola\c{c}\~ao, S\~ao Paulo, Brazil
- 5. Escola Polit\'ecnica, Universidade de S\~ao Paulo, Av. Prof. Luciano Gualberto, travessa do politécnico, 380
- 6. Facultad de Ciencias Astr\'onomicas y Geof\'isicas, UNLP, Argentina\\ Instituto de Astrof\'sica de La Plata, CONICET–UNLP, Argentina
- 7. Instituto de Matem\'atica, Estat\'istica e F\'isica, Universidade Federal do Rio Grande (IMEF--FURG), Av. It\'alia km 8 , Rio Grande, RS, Brazil
- 8. Instituto de Investigaci\'on Multidisciplinar en Ciencia y Tecnolog\'ia, Universidad de La Serena, Ra\'ul Bitr\'an 1305, La Serena, Chile
- 9. Observat\'orio Nacional, Rua General Jos\'e Cristino, 77, S\~ao Crist\'ov\~ao, 20921-400, Rio de Janeiro, RJ, Brazil \\ Universidade de S\~ao Paulo, IAG, Rua do Mato 1225, Sao Paulo, SP, Brazil
- 10. Departamento de F\'isica, Universidade Federal de Santa Catarina, Florian\'opolis, SC, 88040-900, Brazil
- 11. Departamento de Astronomia, Instituto de F\'isica, Universidade Federal do Rio Grande do Sul (UFRGS), Av. Bento Goncalves 9500.
- 12. NOAO, P.O. Box 26732, Tucson, AZ 85726
Description
Deep Learning models used in the paper “Deep Learning Assessment of galaxy morphology in S-PLUS DataRelease 1 “.
We share the .h5 Deep Learning models trained using S-PLUS.:
EfficientNetB2 (3 Bands – pretrained), EfficientNetB2 (5 Bands), EfficientNetB2 (8 Bands), EfficientNetB2 (12 Bands)
We release the catalog of our three samples: The Train and Validation, Ambiguous and Blind samples.
Files
SplusMorfoAmbiguous.csv
Files
(376.4 MB)
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md5:affa6da6acbba4d64a5c6d0f0728b16e
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93.9 MB | Download |
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md5:e637b7ff7db0bd5e6986f62a5611274c
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93.8 MB | Download |
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md5:856904e2fbd338cb3909e89b32f2eb17
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93.8 MB | Download |
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md5:62eb27a7c68fbdae6edbda42d0d722f5
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93.8 MB | Download |
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md5:ccf601e5f01f4efb77ceb03e8f302068
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383.2 kB | Preview Download |
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md5:babf19d5b7aac2c213c509bf73af6c1b
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268.1 kB | Preview Download |
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md5:35b5f0d38c21f2a176457912f31382ef
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384.4 kB | Preview Download |
Additional details
References
- arXiv:2104.00018