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| 3FGL J1809.0+3517 , the SIMBAD biblio (25 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.17CEST06:51:45 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
|
2015ApJS..218...23A |
16 | D | 1 | 3140 | 1411 | Fermi Large Area Telescope third source catalog. | ACERO F., ACKERMANN M., AJELLO M., et al. | ||
|
2016ApJ...820....8S |
16 | D | 1 | 3047 | 91 | Classification and ranking of Fermi LAT gamma-ray sources from the 3FGL catalog using machine learning techniques. | SAZ PARKINSON P.M., XU H., YU P.L.H., et al. | ||
|
2017A&A...602A..86L |
16 | D | 2 | 1082 | 1 | Research and characterisation of blazar candidates among the Fermi/LAT 3FGL catalogue using multivariate classifications. | LEFAUCHEUR J. and PITA S. | ||
|
2017MNRAS.470.1291S |
16 | D | 1 | 563 | 2 | 3FGLzoo: classifying 3FGL unassociated Fermi-LAT γ-ray sources by artificial neural networks. | SALVETTI D., CHIARO G., LA MURA G., et al. | ||
|
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. | ||
|
2019ApJ...887..134K |
16 | D | 1 | 1314 | ~ | Evaluating the classification of Fermi BCUs from the 4FGL catalog using machine learning. | KANG S.-J., LI E., OU W., et al. | ||
|
2020MNRAS.493.1926K |
16 | D | 1 | 1330 | ~ | Classification of blazar candidates of uncertain type from the Fermi LAT 8-yr source catalogue with an artificial neural network. | KOVACEVIC M., CHIARO G., CUTINI S., et al. | ||
|
2020ApJS..247...33A |
16 | D | 1 | 5175 | 880 | Fermi Large Area Telescope fourth source catalog. | ABDOLLAHI S., ACERO F., ACKERMANN M., et al. | ||
| 2020A&A...638A.128M | 16 | D | 1 | 51 | ~ | The γ-ray sky seen at X-ray energies. II. The Swift hunt of Fermi BL Lac objects among unidentified γ-ray sources. | MARCHESINI E.J., PAGGI A., MASSARO F., et al. | ||
|
2020A&A...643A.103P |
16 | D | 1 | 406 | ~ | Optical spectroscopic observations of low-energy counterparts of Fermi-LAT γ-ray sources. | PENA-HERAZO H.A., AMAYA-ALMAZAN R.A., MASSARO F., et al. | ||
|
2021ApJS..253...46P |
17 | D | 1 | 1078 | 38 | The central engines of Fermi blazars. | PALIYA V.S., DOMINGUEZ A., AJELLO 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. | ||
| 2021MNRAS.505.5853G | 17 | D | 2 | 5834 | ~ | Artificial Neural Network classification of 4FGL sources. | GERMANI S., TOSTI G., LUBRANO P., et al. | ||
|
2021ApJS..257...30M |
17 | D | 1 | 100 | 4 | Characterising the extended morphologies of BL Lacertae objects at 144 MHz with LOFAR. | MOONEY S., MASSARO F., QUINN J., et al. | ||
| 2022MNRAS.510.2671P | 187 | D | X | 5 | 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 | 2 | 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. | ||
|
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.526..661K | 17 | D | 3 | 55 | ~ | The spectra of IceCube Neutrino (SIN) candidate sources - IV. Spectral energy distributions and multiwavelength variability. | KARL M., PADOVANI P. and GIOMMI P. | ||
|
2023ApJS..269...25A |
17 | D | 1 | 391 | ~ | IceCat-1: The IceCube Event Catalog of Alert Tracks. | ABBASI R., ACKERMANN M., ADAMS J., et al. | ||
| 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. | ||
| 2024A&A...689A.147R | 18 | D | 1 | 54 | ~ | The Spectra of IceCube Neutrino (SIN) candidate sources V. Modeling and interpretation of multiwavelength and neutrino data. | RODRIGUES X., KARL M., PADOVANI P., et al. | ||
| 2024ApJS..275...11Z | 18 | D | 1 | 235 | ~ | Chasing the Neutrino Blazar Candidates. | ZHU J., CAO H., XIAO H., et al. | ||
| 2025ApJ...994..136K | 252 | D | X | 6 | 37 | ~ | Impact of Multimessenger Spectral Modeling on Blazar-Neutrino Associations. | KUHLMANN J. and CAPEL F. |