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| 9Y-MST J1943-3512 , the SIMBAD biblio (31 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.18CEST03:11:44 |
| 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 |
16 | D | 1 | 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 | 2 | 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 | 1 | 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. | ||
|
2016ApJS..226...20F |
16 | D | 1 | 1394 | 122 | The spectral energy distributions of Fermi blazars. | FAN J.H., YANG J.H., LIU Y., et al. | ||
|
2018ApJS..235...39C |
16 | D | 1 | 1395 | 63 | On the jet properties of γ-ray-loud active galactic nuclei. | CHEN L. | ||
|
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. | ||
|
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. | ||
|
2018RAA....18...56K |
16 | D | 1 | 1421 | 3 | On the intrinsic shape of the gamma-ray spectrum for Fermi blazars. | KANG S.-J., WU Q., ZHENG Y.-G., 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. | ||
|
2020ApJ...892..105A |
16 | D | 1 | 3421 | 235 | The fourth catalog of active galactic nuclei detected by the Fermi Large Area Telescope. | AJELLO M., ANGIONI R., AXELSSON M., 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. | ||
|
2021ApJ...913..120Z |
17 | D | 1 | 1126 | ~ | Cosmological evolution of Fermi Large Area Telescope gamma-ray blazars using novel nonparametric methods. | ZENG H., PETROSIAN V. and YI T. | ||
| 2021MNRAS.505.5853G | 17 | D | 2 | 5834 | ~ | Artificial Neural Network classification of 4FGL sources. | GERMANI S., TOSTI G., LUBRANO P., et al. | ||
|
2021A&A...655A..17S |
17 | D | 1 | 338578 | 3 | The SPECFIND V3.0 catalog of radio continuum cross-identifications and spectra: Reaching lower frequencies. | STEIN Y., VOLLMER B., BOCH T., et al. | ||
|
2022ApJ...925...97P |
17 | D | 1 | 809 | 5 | The Estimation of Fundamental Physics Parameters for Fermi-LAT Blazars. | PEI Z., FAN J., YANG J., 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. | ||
|
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. | ||
|
2023ApJ...944..157C |
17 | D | 1 | 836 | 1 | Curvature of the Spectral Energy Distribution, Compton Dominance, and Synchrotron Peak Frequency in Jetted Active Galactic Nuclei. | CHEN Y., GU Q., FAN J., et al. | ||
| 2023MNRAS.525.3201K | 44 | X | 1 | 134 | ~ | Hunting for the candidates of misclassified sources in LSP BL Lacs using machine learning. | KANG S.-J., ZHENG Y.-G. and WU Q. | ||
| 2023MNRAS.526.4079C | 17 | D | 1 | 276 | ~ | Jet power extracted from ADAFs and the application to Fermi BL Lacertae objects. | CHEN Y., GU Q., FAN J., et al. | ||
| 2024ApJS..275...11Z | 18 | D | 1 | 235 | ~ | Chasing the Neutrino Blazar Candidates. | ZHU J., CAO H., XIAO H., et al. | ||
| 2025ApJS..278...11L | 19 | D | 1 | 1265 | ~ | Discerning Misclassified Flat-spectrum Radio Quasars from Low-frequency-peaked BL Lacertae Objects. | LIANG S., YANG W.G., ZHENG Y.G., et al. | ||
|
2025A&A...697A.176Y |
19 | D | 1 | 507 | ~ | Accretion properties and jet mechanisms for the low-excitation radio galaxies. | YE X.-H., BALDI R.D., CHEN Y.-Y., et al. |