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| 4FGL J2351.4-2818 , the SIMBAD biblio (16 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.17CEST02:04:23 |
| 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.504.3338P | 17 | D | 1 | 99 | ~ | The spectra of IceCube neutrino candidate sources - I. Optical spectroscopy of blazars. | PAIANO S., FALOMO R., TREVES A., et al. | ||
|
2021ApJ...914...42B |
17 | D | 7 | 896 | ~ | Radio counterpart candidates to unassociated 4FGL-DR2 sources. | BRUZEWSKI S., SCHINZEL F.K., TAYLOR G.B., et al. | ||
| 2021MNRAS.505.5853G | 17 | D | 2 | 5834 | ~ | Artificial Neural Network classification of 4FGL sources. | GERMANI S., TOSTI G., LUBRANO P., et al. | ||
|
2021ApJ...923...75K |
17 | D | 2 | 236 | 9 | Multiwavelength spectral analysis and neural network classification of counterparts to 4FGL unassociated sources. | KERBY S., KAUR A., FALCONE A.D., et al. | ||
| 2022MNRAS.510.2671P | 17 | D | 1 | 69 | 12 | The spectra of IceCube neutrino (SIN) candidate sources - II. Source characterization. | PADOVANI P., GIOMMI P., FALOMO R., 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. | ||
|
2022ApJ...934..180K |
17 | D | 1 | 80 | 8 | Multiwavelength Search for the Origin of IceCube's Neutrinos. | KUN E., BARTOS I., BECKER TJUS J., 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. | ||
| 2023MNRAS.526..661K | 17 | D | 1 | 55 | ~ | The spectra of IceCube Neutrino (SIN) candidate sources - IV. Spectral energy distributions and multiwavelength variability. | KARL M., PADOVANI P. and GIOMMI P. | ||
| 2023A&A...679A..46K | 17 | D | 1 | 37 | ~ | Searching for temporary gamma-ray dark blazars associated with IceCube neutrinos. | KUN E., BARTOS I., BECKER TJUS J., et al. | ||
|
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. | ||
| 2026ApJ...999..244N | 20 | D | 3 | 293 | ~ | Classification of a New X-Ray Catalog of Likely Counterparts to 4FGL-DR4 Unassociated Gamma-Ray Sources Using a Neural Network. | NEUMANN K.D., FALCONE A.D., DIKERBY S., et al. |