NVSS J122337-303246 , the SIMBAD biblio

NVSS J122337-303246 , the SIMBAD biblio (31 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.18CEST10:39:41


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Title First 3 Authors
2010ApJS..188..405A viz 15       D               1 1513 938 Fermi Large Area Telescope First Source Catalog. ABDO A.A., ACKERMANN M., AJELLO M., et al.
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...753...83A viz 15       D               1 669 88 A statistical approach to recognizing source classes for unassociated sources in the first Fermi-LAT catalog. ACKERMANN M., AJELLO M., ALLAFORT A., et al.
2012AJ....144..112F 15       D               1 66 3 Polarization and variation of near-infrared light from Fermi/LAT γ-ray sources. FUJIWARA M., MATSUOKA Y. and IENAKA N.
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..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               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 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.
2016MNRAS.462.3180C viz 16       D               1 576 21 Blazar flaring patterns (B-FlaP) classifying blazar candidate of uncertain type in the third Fermi-LAT catalogue by artificial neural networks. CHIARO G., SALVETTI D., LA MURA G., et al.
2017A&A...598A..17C viz 16       D               1 1692 30 2WHSP: A multi-frequency selected catalogue of high energy and very high energy γ-ray blazars and blazar candidates. CHANG Y.-L., ARSIOLI B., GIOMMI P., et al.
2017A&A...602A..86L viz 16       D               1 1082 1 Research and characterisation of blazar candidates among the Fermi/LAT 3FGL catalogue using multivariate classifications. LEFAUCHEUR J. and PITA S.
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.
2018RAA....18...56K viz 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.
2019ApJS..241....5D 179       D     X         5 29 ~ Identifying the 3FHL catalog. III. Results of the CTIO-COSMOS optical spectroscopy campaign. DESAI A., MARCHESI S., RAJAGOPAL M., et al.
2019ApJ...887...18K viz 16       D               2 250 ~ Classification of new X-ray counterparts for Fermi unassociated gamma-ray sources using the Swift X-Ray Telescope. KAUR A., FALCONE A.D., STROH M.D., 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.
2019MNRAS.490.4770K viz 16       D               1 567 ~ Optimizing neural network techniques in classifying Fermi-LAT gamma-ray sources. KOVACEVIC M., CHIARO G., CUTINI S., 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.
2020ApJ...891...87K 16       D               1 120 ~ An empirical "high-confidence" candidate zone for Fermi BL Lacertae objects. KANG S.-J., ZHU K., FENG J., 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.
2021MNRAS.505.5853G 17       D               2 5834 ~ Artificial Neural Network classification of 4FGL sources. GERMANI S., TOSTI G., LUBRANO P., 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.
2024MNRAS.530.2282D 1940 ~ Predicting conditional probability distributions of redshifts of Active Galactic Nuclei using Hierarchical Correlation Reconstruction. DUDA J. and BHATTA G.
2024ApJ...967..104Z 18       D               3 372 ~ The Energy Budget in the Jet of High-frequency Peaked BL Lacertae Objects. ZHAO X.Z., YANG H.Y., ZHENG Y.G., et al.
2024MNRAS.532.4785M 645       D S   X C F     12 14 ~ Optical spectroscopic classification of a selection of Southern Hemisphere 3FHL blazar candidates. MARAIS J.P. and VAN SOELEN B.

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