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| 4FGL J1513.0-3118 , the SIMBAD biblio (9 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.17CEST13:33:41 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
|
2020ApJS..247...33A |
16 | D | 1 | 5175 | 880 | Fermi Large Area Telescope fourth source catalog. | ABDOLLAHI S., ACERO F., ACKERMANN M., et al. | ||
| 2021MNRAS.505.5853G | 17 | D | 2 | 5834 | ~ | Artificial Neural Network classification of 4FGL sources. | GERMANI S., TOSTI G., LUBRANO P., 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. | ||
|
2023ApJ...943..167K |
104 | D | X | 3 | 116 | 4 | Using Neural Networks to Differentiate Newly Discovered BL Lacertae Objects and FSRQs among the 4FGL Unassociated Sources Employing Gamma-Ray, X-Ray, UV/Optical, and IR Data. | KAUR A., KERBY S. and FALCONE A.D. | |
| 2023MNRAS.523.5341T | 17 | D | 1 | 104 | ~ | Classification of the Fermi-LAT blazar candidates of uncertain type using extreme gradient boosting. | TOLAMATTI A., SINGH K.K. and YADAV K.K. | ||
|
2023ApJ...951..133K |
17 | D | 2 | 120 | ~ | Testing the Blazar Sequence with Spectra of Recently Discovered Dim Blazars from the Fermi Unassociated Catalog. | KERBY S. and FALCONE A.D. | ||
|
2024A&A...684A.208M |
18 | D | 2 | 535 | ~ | Searching for X-ray counterparts of unassociated Fermi-LAT sources and rotation-powered pulsars with SRG/eROSITA. | MAYER M.G.F. and BECKER W. | ||
|
2025A&A...694A.176U |
19 | D | 2 | 328 | ~ | Search for the multi-wavelength counterparts to extragalactic unassociated Fermi γ-ray sources. | ULGIATI A., PAIANO S., PINTORE F., et al. |