2FGL J0737.5-8246 , the SIMBAD biblio

2FGL J0737.5-8246 , the SIMBAD biblio (33 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.16CEST16:43:20


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Title First 3 Authors
2012ApJS..199...31N viz 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 viz 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 viz 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 viz 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 viz 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 viz 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 viz 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 viz 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 viz 16       D               1 3140 1411 Fermi Large Area Telescope third source catalog. ACERO F., ACKERMANN M., AJELLO M., et al.
2015ApJ...810...14A viz 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 viz 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 viz 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 viz 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 viz 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 viz 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 viz 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 viz 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 viz 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 viz 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 viz 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 viz 16       D               1 5175 880 Fermi Large Area Telescope fourth source catalog. ABDOLLAHI S., ACERO F., ACKERMANN M., et al.
2020ApJ...892..105A viz 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 viz 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 viz 17       D               2 6191 10 Machine learning methods for constructing probabilistic Fermi-LAT catalogs. BHAT A. and MALYSHEV D.
2022ApJS..260...53A viz 17       D               1 6710 133 Incremental Fermi Large Area Telescope Fourth Source Catalog. ABDOLLAHI S., ACERO F., BALDINI L., et al.
2022ApJS..263...24A viz 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 viz 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.

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