ICRF J151440.8-361704 , the SIMBAD biblio

ICRF J151440.8-361704 , the SIMBAD biblio (33 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.18CEST04:55:20


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Title First 3 Authors
2008ApJS..175...97H viz 15       D               1 1626 244 CGRaBS: an all-sky survey of gamma-ray blazar candidates. HEALEY S.E., ROMANI R.W., COTTER G., 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.
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..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.
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.
2019ApJ...873..132M viz 16       D               1 2125 2 The precious set of radio-optical reference frame objects in the light of Gaia DR2 data. MAKAROV V.V., BERGHEA C.T., FROUARD J., et al.
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.
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.
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.
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.
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....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.
2023AJ....165..139D viz 17       D               1 734 5 The Celestial Reference Frame at K Band: Imaging. I. The First 28 Epochs. DE WITT A., JACOBS C.S., GORDON 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.
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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