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| 2FGL J0737.5-8246 , the SIMBAD biblio (33 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.16CEST16:43:20 |
| 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. | ||
|
2012ApJ...752...61M |
15 | D | 2 | 370 | 39 | Unidentified γ-ray sources: hunting γ-ray blazars. | MASSARO F., D'ABRUSCO R., TOSTI G., 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 | 2 | 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 | 2 | 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. | ||
|
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. | ||
|
2019MNRAS.485...88P |
16 | D | 1 | 1101 | 5 | The Second LBA Calibrator Survey of southern compact extragalactic radio sources - LCS2. | PETROV L., DE WITT A., SADLER E.M., 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. | ||
|
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. | ||
| 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. | ||
| 2021MNRAS.505.5853G | 17 | D | 2 | 5834 | ~ | Artificial Neural Network classification of 4FGL sources. | GERMANI S., TOSTI G., LUBRANO P., et al. | ||
|
2021ApJS..254...26R |
142 | D | X | 4 | 29 | ~ | Identifying the 3FHL Catalog. V. Results of the CTIO-COSMOS optical spectroscopy campaign 2019. | RAJAGOPAL M., MARCHESI S., KAUR A., 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. | ||
| 2023MNRAS.523.4120D | 17 | D | 1 | 420 | ~ | Hybrid deep learning for blazar classification and correlation search with neutrinos. | DING J., HUANG Y., LI X.-D., et al. | ||
| 2024MNRAS.527.4763D | 18 | D | 2 | 353 | ~ | Constraints on redshifts of blazars from extragalactic background light attenuation using Fermi-LAT data. | DOMINGUEZ A., LAINEZ M., PALIYA V.S., et al. | ||
| 2024MNRAS.530.2282D | 1940 | ~ | Predicting conditional probability distributions of redshifts of Active Galactic Nuclei using Hierarchical Correlation Reconstruction. | DUDA J. and BHATTA G. | |||||
| 2025PASP..137f4105D | 19 | D | 1 | 290 | ~ | Improved Fermi Blazar Candidate Classifications with SRG/eROSITA X-Ray Counterparts Using Machine Learning. | DING J. and RODRIGUEZ A.C. | ||
|
2025A&A...700A.229L |
19 | D | 1 | 126 | ~ | Exploring the most extreme gamma-ray blazars using broadband spectral energy distributions. | LAINEZ M., NIEVAS-ROSILLO M., DOMINGUEZ A., et al. |