SDSS J093834.72+515452.3 , the SIMBAD biblio

SDSS J093834.72+515452.3 , the SIMBAD biblio (19 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.18CEST11:34:32

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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
2018A&A...613A..51P viz 16       D               1 525784 350 The Sloan Digital Sky Survey Quasar Catalog: Fourteenth data release. PARIS I., PETITJEAN P., AUBOURG E., et al.
2019ApJS..244...36C viz 16       D               1 173935 ~ Quasar properties from the Sloan Digital Sky Survey. II. The quasars obtained by the SDSS-IV in the first two years. CHEN Z.-F., YI S.-X., PANG T.-T., 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.
2020ApJS..249...17R viz 16       D               1 525797 112 Spectral properties of quasars from Sloan Digital Sky Survey data release 14: the catalog. RAKSHIT S., STALIN C.S. and KOTILAINEN J.
2020ApJS..250....8L viz 16       D               1 750061 219 The Sloan Digital Sky Survey quasar catalog: Sixteenth Data Release. LYKE B.W., HIGLEY A.N., McLANE J.N., et al.
2021ApJ...912...91T viz 17       D               1 37181 25 How does the polar dust affect the correlation between dust covering factor and Eddington ratio in type 1 quasars selected from the Sloan Digital Sky Survey Data Release 16? TOBA Y., UEDA Y., GANDHI P., et al.
2021ApJ...914...42B viz 17       D               28 896 ~ Radio counterpart candidates to unassociated 4FGL-DR2 sources. BRUZEWSKI S., SCHINZEL F.K., TAYLOR G.B., et al.
2021MNRAS.505.5853G 17       D               2 5834 ~ Artificial Neural Network classification of 4FGL sources. GERMANI S., TOSTI G., LUBRANO P., et al.
2021ApJ...923...75K viz 17       D               1 236 9 Multiwavelength spectral analysis and neural network classification of counterparts to 4FGL unassociated sources. KERBY S., KAUR A., FALCONE A.D., 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.
2023ApJ...943..167K viz 17       D               2 116 4 Using Neural Networks to Differentiate Newly Discovered BL Lacertae Objects and FSRQs among the 4FGL Unassociated Sources Employing Gamma-Ray, X-Ray, UV/Optical, and IR Data. KAUR A., KERBY S. and FALCONE A.D.
2023ApJS..264...52H viz 17       D               1 90559 ~ Quasar Properties from the Sloan Digital Sky Survey. III. The Quasars Obtained by the SDSS-IV. HUANG W.-R., CHEN Z.-G., CHEN Z.-F., et al.
2023MNRAS.523.5341T 17       D               1 104 ~ Classification of the Fermi-LAT blazar candidates of uncertain type using extreme gradient boosting. TOLAMATTI A., SINGH K.K. and YADAV K.K.
2023ApJ...951..133K viz 17       D               2 120 ~ Testing the Blazar Sequence with Spectra of Recently Discovered Dim Blazars from the Fermi Unassociated Catalog. KERBY S. and FALCONE A.D.
2024MNRAS.530.4626U 287       D     X         7 42 ~ Spectroscopy of a sample of unidentified gamma-ray Fermi sources. ULGIATI A., PAIANO S., TREVES A., et al.
2025A&A...694A.176U viz 19       D               2 328 ~ Search for the multi-wavelength counterparts to extragalactic unassociated Fermi γ-ray sources. ULGIATI A., PAIANO S., PINTORE F., et al.
2025MNRAS.543..326U 439       D     X   F     9 78 ~ Characterization of a sample of γ-ray active galactic nuclei. ULGIATI A., PADOVANI P., GIOMMI P., et al.
2026ApJ...999..244N 20       D               4 293 ~ Classification of a New X-Ray Catalog of Likely Counterparts to 4FGL-DR4 Unassociated Gamma-Ray Sources Using a Neural Network. NEUMANN K.D., FALCONE A.D., DIKERBY S., et al.

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