6C 194425+834912 , the SIMBAD biblio

6C 194425+834912 , the SIMBAD biblio (53 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.18CEST17:38:43


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Title First 3 Authors
1998MNRAS.300..790W viz 541 128 Interferometer phase calibrations sources - III. The regions +20deg ≤ delB1950 ≤ +35deg and +75deg ≤ delB1950 ≤ +90deg . WILKINSON P.N., BROWNE I.W.A., PATNAIK A.R., et al.
2001A&A...370...78M viz 164 10 Observations of the bright radio sources in the North Celestial Pole region at the RATAN-600 radio telescope. MINGALIEV M.G., STOLYAROV V.A., DAVIES R.D., et al.
2003MNRAS.341....1M viz 15       D               1 10126 328 The Cosmic Lens All-Sky Survey - I. Source selection and observations. MYERS S.T., JACKSON N.J., BROWNE I.W.A., et al.
2009ARep...53..487M 52 3 Spectral characteristics and variability of radio sources near the north celestial pole. MINGALIEV M.G., SOTNIKOVA Y.V., KARDASHEV N.S., et al.
2009A&A...505..385A viz 15       D               1 99836 35 The large quasar reference frame (LQRF). An optical representation of the ICRS. ANDREI A.H., SOUCHAY J., ZACHARIAS N., et al.
2010A&A...511A..53V viz 15       D               1 107473 39 The SPECFIND V2.0 catalogue of radio cross-identifications and spectra. SPECFIND meets the Virtual Observatory. VOLLMER B., GASSMANN B., DERRIERE S., et al.
2011AJ....142...35P viz 15       D               1 328 107 The Very Long Baseline Array Galactic Plane Survey–VGaPS. PETROV L., KOVALEV Y.Y., FOMALONT E.B., et al.
2011ApJ...743..171A viz 15       D               1 977 589 The second catalog of active galactic nuclei detected by the Fermi large area telescope. ACKERMANN M., AJELLO M., ALLAFORT A., et al.
2012ApJ...750..138M 15       D               3 46 86 The WISE gamma-ray strip parameterization: the nature of the gamma-ray active galactic nuclei of uncertain type. MASSARO F., D'ABRUSCO R., TOSTI G., 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.
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.
2013ApJS..206...13M viz 15       D               1 380 49 Unveiling the nature of unidentified gamma-ray sources. II. Radio, infrared, and optical counterparts of the gamma-ray blazar candidates. MASSARO F., D'ABRUSCO R., PAGGI A., et al.
2014ApJS..212...15F viz 15       D               1 24788 60 A broadband polarization catalog of extragalactic radio sources. FARNES J.S., GAENSLER B.M. and CARRETTI E.
2015ApJS..217....2M viz 16       D               2 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...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.
2018ApJS..234...12L viz 16       D               2 437 152 MOJAVE. XV. VLBA 15 GHz total intensity and polarization maps of 437 parsec-scale AGN jets from 1996 to 2017. LISTER M.L., ALLER M.F., ALLER H.D., et al.
2018ApJ...862..151H viz 16       D               1 387 10 MOJAVE XVI: multiepoch linear polarization properties of parsec-scale AGN jet cores. HODGE M.A., LISTER M.L., ALLER M.F., 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.
2018ApJ...866..137L viz 16       D               1 1032 70 Constraining the limiting brightness temperature and Doppler factors for the largest sample of radio-bright blazars. LIODAKIS I., HOVATTA T., HUPPENKOTHEN D., 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.
2019ApJ...874...43L viz 97       D     X         3 435 150 MOJAVE. XVII. Jet kinematics and parent population properties of relativistically beamed radio-loud blazars. LISTER M.L., HOMAN D.C., HOVATTA T., et al.
2019ApJS..242....5X viz 16       D               1 3393 ~ Structure effects for 3417 Celestial Reference Frame radio sources. XU M.H., ANDERSON J.M., HEINKELMANN R., et al.
2019A&A...630A.101K viz 16       D               2 3584 ~ Realization of a multifrequency celestial reference frame through a combination of normal equation systems. KARBON M. and NOTHNAGEL A.
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.
2020A&A...644A.159C viz 16       D               1 4536 184 The third realization of the International Celestial Reference Frame by very long baseline interferometry. CHARLOT P., JACOBS C.S., GORDON D., et al.
2021AJ....162...21B viz 17       D               5 2594 ~ Optical variability of ICRF3 quasars in the Pan-STARRS 3pi survey with Functional Principal Component Analysis. BERGHEA C.T., MAKAROV V.V., QUIGLEY K., 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.
2021ApJ...923...30L viz 17       D               1 464 45 Monitoring of jets in active galactic nuclei with VLBA experiments. XVIII. Kinematics and inner jet evolution of bright radio-loud active galaxies. LISTER M.L., HOMAN D.C., KELLERMANN K.I., et al.
2021ApJ...923...67H viz 17       D               1 448 30 MOJAVE. XIX. Brightness temperatures and intrinsic properties of blazar jets. HOMAN D.C., COHEN M.H., HOVATTA T., et al.
2022MNRAS.510..469K viz 17       D               1 334 11 A decade of joint MOJAVE-Fermi AGN monitoring: localization of the gamma-ray emission region. KRAMARENKO I.G., PUSHKAREV A.B., KOVALEV Y.Y., 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....4P viz 17       D               1 7976 3 Direction of Parsec-scale Jets for 9220 Active Galactic Nuclei. PLAVIN A.V., KOVALEV Y.Y. and PUSHKAREV A.B.
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.520.6053P viz 17       D               1 437 6 MOJAVE - XX. Persistent linear polarization structure in parsec-scale AGN jets. PUSHKAREV A.B., ALLER H.D., ALLER M.F., et al.
2023MNRAS.523.3615Z viz 17       D               1 438 2 MOJAVE - XXI. Decade-long linear polarization variability in AGN jets at parsec scales. ZOBNINA D.I., ALLER H.D., ALLER M.F., 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.
2023ApJS..268...23F viz 17       D               1 2708 ~ Characterizing the Emission Region Properties of Blazars. FAN J., XIAO H., YANG W., et al.
2024A&A...684A.202L viz 18       D               1 422 ~ Identification of the optical emission detected by Gaia with radio structures in parsec-scale active galactic nucleus jets. LAMBERT S., SOL H. and PIERRON A.
2024MNRAS.530.2282D 1940 ~ Predicting conditional probability distributions of redshifts of Active Galactic Nuclei using Hierarchical Correlation Reconstruction. DUDA J. and BHATTA G.
2024ApJS..274...28C viz 18       D               1 4336 ~ Metrics of Astrometric Variability in the International Celestial Reference Frame. I. Statistical Analysis and Selection of the Most Variable Sources. CIGAN P., MAKAROV V.V., SECREST N.J., et al.

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