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| 1RXS J101620.6-424733 , the SIMBAD biblio (28 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.18CEST13:25:32 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
|
2012ApJS..199...31N |
15 | D | 1 | 2260 | 1282 | Fermi Large Area Telescope second source catalog. | NOLAN P.L., ABDO A.A., ACKERMANN M., et al. | ||
|
2012MNRAS.424.2832L |
15 | D | 1 | 1877 | 43 | Application of the Gaussian mixture model in pulsar astronomy – pulsar classification and candidates ranking for the Fermi 2FGL catalogue. | LEE K.J., GUILLEMOT L., YUE Y.L., et al. | ||
|
2013MNRAS.428..220H |
15 | D | 1 | 473 | 19 | Gamma-ray active galactic nucleus type through machine-learning algorithms. | HASSAN T., MIRABAL N., CONTRERAS J.L., et al. | ||
|
2013MNRAS.432.1294P |
15 | D | 1 | 283 | 32 | Australia telescope compact array observations of Fermi unassociated sources. | PETROV L., MAHONY E.K., EDWARDS P.G., et al. | ||
|
2014ApJ...782...41D |
15 | D | 1 | 235 | 15 | Search for gamma-ray-emitting active galactic nuclei in the Fermi-LAT unassociated sample using machine learning. | DOERT M. and ERRANDO M. | ||
|
2015ApJS..217....2M |
94 | D | C | 2 | 2199 | 42 | Refining the associations of the Fermi large area telescope source catalogs. | MASSARO F., D'ABRUSCO R., LANDONI M., et al. | |
|
2015ApJS..217....4S |
16 | D | 1 | 589 | 38 | New associations of gamma-ray sources from the Fermi second source catalog. | SCHINZEL F.K., PETROV L., TAYLOR G.B., et al. | ||
|
2015ApJS..218...23A |
16 | D | 1 | 3140 | 1411 | Fermi Large Area Telescope third source catalog. | ACERO F., ACKERMANN M., AJELLO M., et al. | ||
|
2015ApJ...810...14A |
16 | D | 3 | 1890 | 513 | The third catalog of active galactic nuclei detected by the Fermi large area telescope. | ACKERMANN M., AJELLO M., ATWOOD W.B., 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. | ||
|
2017ApJS..232...18A |
16 | D | 1584 | 263 | 3FHL: the Third Catalog of Hard Fermi-LAT Sources. | AJELLO M., ATWOOD W.B., BALDINI L., et al. | |||
|
2018ApJS..237...32A |
16 | D | 1 | 2605 | 130 | The search for spatial extension in high-latitude sources detected by the Fermi Large Area Telescope. | ACKERMANN M., AJELLO M., BALDINI L., et al. | ||
| 2019ApJ...871...94K | 16 | D | 1 | 53 | 4 | Identifying the 3FHL catalog. I. Archival Swift observations and source classification. | KAUR A., AJELLO M., MARCHESI S., 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. | ||
|
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. | ||
|
2021ApJ...923...75K |
17 | D | 1 | 236 | 9 | Multiwavelength spectral analysis and neural network classification of counterparts to 4FGL unassociated sources. | KERBY S., KAUR A., FALCONE A.D., 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. | ||
| 2023AJ....165...42R | 148 | D | X | 4 | 5 | ~ | Identifying the 3FHL Catalog. VI. Results of the 2019 Gemini Optical Spectroscopy. | RAJAGOPAL M., MARCOTULLI L., LABRIE K., et al. | |
|
2023ApJ...943..167K |
17 | D | 2 | 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. | ||
| 2024MNRAS.530.4626U | 18 | D | 2 | 42 | ~ | Spectroscopy of a sample of unidentified gamma-ray Fermi sources. | ULGIATI A., PAIANO S., TREVES A., 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. | ||
| 2025MNRAS.543..326U | 19 | D | 2 | 78 | ~ | Characterization of a sample of γ-ray active galactic nuclei. | ULGIATI A., PADOVANI P., GIOMMI P., et al. |