4FGL J0010.6-3025 , the SIMBAD biblio

4FGL J0010.6-3025 , the SIMBAD biblio (13 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.15CEST19:31:12

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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
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.
2021ApJ...913..120Z viz 17       D               1 1126 ~ Cosmological evolution of Fermi Large Area Telescope gamma-ray blazars using novel nonparametric methods. ZENG H., PETROSIAN V. and YI T.
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.
2022MNRAS.513.6013M 17       D               1 57 2 Selecting a complete sample of blazars in sub-millimetre catalogues. MASSARDI M., BONATO M., LOPEZ-CANIEGO M., et al.
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.
2022MNRAS.517.4202X 17       D               1 10 1 The jet apparent motion and central engine study of Fermi blazars. XIAO H.B., ZHU J.T., FAN J.H., 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.
2023ApJ...943..167K viz 17       D               1 116 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..268...23F viz 17       D               1 2708 ~ Characterizing the Emission Region Properties of Blazars. FAN J., XIAO H., YANG W., et al.
2025ApJS..278...11L 19       D               1 1265 ~ Discerning Misclassified Flat-spectrum Radio Quasars from Low-frequency-peaked BL Lacertae Objects. LIANG S., YANG W.G., ZHENG Y.G., et al.

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