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| SUMSS J033202-703952 , the SIMBAD biblio (11 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.17CEST04:47:13 |
| Bibcode/DOI | Score |
in Title|Abstract| Keywords |
in a table | in teXt, Caption, ... | Nb occurence | Nb objects in ref |
Citations (from ADS) |
Title | First 3 Authors |
|---|---|---|---|---|---|---|---|---|---|
|
2017A&A...598A..17C |
16 | D | 1 | 1692 | 30 | 2WHSP: A multi-frequency selected catalogue of high energy and very high energy γ-ray blazars and blazar candidates. | CHANG Y.-L., ARSIOLI B., GIOMMI P., et al. | ||
|
2018A&A...619A..23C |
16 | D | 1 | 1351 | ~ | A MST catalogue of γ-ray source candidates above 10 GeV and at Galactic latitudes higher than 20°. | CAMPANA R., MASSARO E. and BERNIERI E. | ||
|
2019A&A...632A..77C |
16 | D | 1 | 2017 | 54 | The 3HSP catalogue of extreme and high-synchrotron peaked blazars. | CHANG Y.-L., ARSIOLI B., GIOMMI P., et al. | ||
| 2021MNRAS.505.5853G | 17 | D | 1 | 5834 | ~ | Artificial Neural Network classification of 4FGL sources. | GERMANI S., TOSTI G., LUBRANO P., et al. | ||
| 2021AJ....162..177P | 17 | D | 6 | 64 | 5 | Optical spectroscopic observations of gamma-ray blazar Candidates. XI. Optical observations from SOAR, blanco, NTT and OAN-SPM. The story so far. | PENA-HERAZO H.A., PAGGI A., GARCIA-PEREZ A., et al. | ||
|
2022A&A...660A..87B |
17 | D | 1 | 6191 | 10 | Machine learning methods for constructing probabilistic Fermi-LAT catalogs. | BHAT A. and MALYSHEV D. | ||
|
2022ApJS..260...53A |
17 | D | 1 | 6710 | 133 | Incremental Fermi Large Area Telescope Fourth Source Catalog. | ABDOLLAHI S., ACERO F., BALDINI L., et al. | ||
|
2022ApJS..263...24A |
17 | D | 1 | 3828 | 15 | The Fourth Catalog of Active Galactic Nuclei Detected by the Fermi Large Area Telescope: Data Release 3. | AJELLO M., BALDINI L., BALLET J., et al. | ||
| 2023MNRAS.523.4120D | 17 | D | 1 | 420 | ~ | Hybrid deep learning for blazar classification and correlation search with neutrinos. | DING J., HUANG Y., LI X.-D., et al. | ||
| 2024ApJ...967..104Z | 18 | D | 3 | 372 | ~ | The Energy Budget in the Jet of High-frequency Peaked BL Lacertae Objects. | ZHAO X.Z., YANG H.Y., ZHENG Y.G., et al. | ||
| 2025PASP..137f4105D | 19 | D | 1 | 290 | ~ | Improved Fermi Blazar Candidate Classifications with SRG/eROSITA X-Ray Counterparts Using Machine Learning. | DING J. and RODRIGUEZ A.C. |