4FGL J1003.4+0205 , the SIMBAD biblio

4FGL J1003.4+0205 , the SIMBAD biblio (28 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.16CEST12:09:44

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Bibcode/DOI Score in Title|Abstract|
Keywords 		in a table in teXt, Caption, ... Nb occurence Nb objects in ref Citations
(from ADS) 		Title First 3 Authors
2006A&A...455..773V viz 108223 628 A catalogue of quasars and active nuclei: 12th edition. VERON-CETTY M.-P. and VERON P.
2007ApJ...664...53A viz 31831 13 Photometric selection of QSO candidates from GALEX sources. ATLEE D.W. and GOULD A.
2008AJ....135.2453P viz 15       D               1 508 44 A large sample of BL Lac objects from the SDSS and FIRST. PLOTKIN R.M., ANDERSON S.F., HALL P.B., et al.
2010AJ....139..390P viz 15       D               1 732 98 Optically selected BL Lacertae candidates from the Sloan Digital Sky Survey data release seven. PLOTKIN R.M., ANDERSON S.F., BRANDT W.N., et al.
2010A&A...518A..10V viz 15       D               1 168913 597 A catalogue of quasars and active nuclei: 13th edition. VERON-CETTY M.-P. and VERON P.
2011A&A...529A.162H viz 15       D               1 194 22 Polarimetry of optically selected BL Lacertae candidates from the SDSS. HEIDT J. and NILSSON K.
2016ApJ...817...34M viz 16       D               1 4057 237 The Chandra COSMOS legacy survey: optical/IR identifications. MARCHESI S., CIVANO F., ELVIS M., et al.
2016ApJ...819...62C viz 16       D               1 4017 337 The Chandra Cosmos Legacy survey: overview and point source catalog. CIVANO F., MARCHESI S., COMASTRI A., 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.
2021MNRAS.504.3338P 17       D               2 99 ~ The spectra of IceCube neutrino candidate sources - I. Optical spectroscopy of blazars. PAIANO S., FALOMO R., TREVES A., 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               1 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.521.2270P 453       D S   X   F     9 62 ~ The spectra of IceCube Neutrino (SIN) candidate sources - III. Optical spectroscopy and source characterization of the full sample. PAIANO S., FALOMO R., TREVES A., 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.
2023MNRAS.526..661K 322       D     X         8 55 ~ The spectra of IceCube Neutrino (SIN) candidate sources - IV. Spectral energy distributions and multiwavelength variability. KARL M., PADOVANI P. and GIOMMI P.
2024MNRAS.528.5990S 376       D     X         9 117 ~ Broad-band study of gamma-ray blazars at redshifts z = 2.0-2.5. SAHAKYAN N., HARUTYUNYAN G., GASPARYAN S., et al.
2024A&A...689A.147R 18       D               3 54 ~ The Spectra of IceCube Neutrino (SIN) candidate sources V. Modeling and interpretation of multiwavelength and neutrino data. RODRIGUES X., KARL M., PADOVANI P., et al.
2024ApJS..275...11Z 18       D               1 235 ~ Chasing the Neutrino Blazar Candidates. ZHU J., CAO H., XIAO H., et al.
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.
2025ApJ...994..136K 19       D               1 37 ~ Impact of Multimessenger Spectral Modeling on Blazar-Neutrino Associations. KUHLMANN J. and CAPEL F.

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