PMN J2321-6438 , the SIMBAD biblio

PMN J2321-6438 , the SIMBAD biblio (33 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.18CEST00:29:15


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Title First 3 Authors
1994ApJS...91..111W viz 4374 324 The Parkes-MIT-NRAO (PMN) Surveys: II. Source catalog for the Southern Survey (-87deg.5 < delta < -37deg). WRIGHT A.E., GRIFFITH M.R., BURKE B.F., et al.
2011MNRAS.417.2651M viz 15       D               1 5893 47 Optical properties of high-frequency radio sources from the Australia Telescope 20 GHz (AT20G) Survey. MAHONY E.K., SADLER E.M., CROOM S.M., et al.
2012MNRAS.422.1527M viz 15       D               2 6426 22 ATPMN: accurate positions and flux densities at 5 and 8 GHz for 8385 sources from the PMN survey. McCONNELL D., SADLER E.M., MURPHY T., 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.
2016ApJS..226...20F viz 16       D               1 1394 122 The spectral energy distributions of Fermi blazars. FAN J.H., YANG J.H., LIU Y., 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...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..235...39C viz 16       D               1 1395 63 On the jet properties of γ-ray-loud active galactic nuclei. CHEN L.
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 16       D               3 29 ~ Identifying the 3FHL catalog. III. Results of the CTIO-COSMOS optical spectroscopy campaign. DESAI A., MARCHESI S., RAJAGOPAL M., et al.
2019ApJS..242....4D viz 16       D               1 9583 45 Two new catalogs of blazar candidates in the WISE Infrared sky. D'ABRUSCO R., ALVAREZ CRESPO N., MASSARO F., 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.
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.
2020ApJS..248...23D viz 16       D               1 283 ~ On the physical association of Fermi-LAT blazars with their low-energy counterparts. DE MENEZES R., D'ABRUSCO R., 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.
2021A&A...655A..17S viz 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.
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..262...18Y viz 17       D               1 2709 8 The Spectral Energy Distributions for 4FGL Blazars. YANG J.H., FAN J.H., LIU Y., 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.518.2675K 583       D S   X         13 37 3 Optical spectroscopy of blazars for the Cherenkov Telescope Array - II. KASAI E., GOLDONI P., PITA S., et al.
2022ApJ...939..117Z viz 17       D               3 282 ~ New Identifications and Multiwavelength Properties of Extragalactic Fermi Gamma-Ray Sources in the SPT-SZ Survey Field. ZHANG L., VIEIRA J.D., AJELLO M., et al.
2023ApJS..268...23F viz 17       D               1 2708 ~ Characterizing the Emission Region Properties of Blazars. FAN J., XIAO H., YANG W., 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.

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