2FGL J1324.0-4330e , the SIMBAD biblio

2FGL J1324.0-4330e , the SIMBAD biblio (11 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.16CEST18:42:52

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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
2012A&A...542A..19Y 1205 T   A     X C F     29 15 22 Deep observation of the giant radio lobes of
Centaurus A with the Fermi Large Area Telescope. 		YANG R.-Z., SAHAKYAN N., DE ONA WILHELMI E., et al.
2012MNRAS.424.2832L viz 15       D               2 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.
2015ApJS..217....2M viz 16       D               5 2199 42 Refining the associations of the Fermi large area telescope source catalogs. MASSARO F., D'ABRUSCO R., LANDONI M., et al.
2015ApJ...810...14A viz 562       D     X C       14 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.
2017ApJ...850...33K 1128       D S   X C       27 32 ~ Constraints on physical conditions for the acceleration on ultra-high-energy cosmic rays in nearby active galactic nuclei (AGNs) observed with the Fermi Large Area Telescope. KAGAYA M., KATAGIRI H., YOSHIDA T., et al.
2018ApJS..237...32A viz 883           X C       21 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.
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               2 6191 10 Machine learning methods for constructing probabilistic Fermi-LAT catalogs. BHAT A. and MALYSHEV D.
2024MNRAS.530.2282D 1940 ~ Predicting conditional probability distributions of redshifts of Active Galactic Nuclei using Hierarchical Correlation Reconstruction. DUDA J. and BHATTA G.
2024ApJ...971..180Y 45           X         1 76 ~ A Multiwavelength Machine-learning Approach to Classifying X-Ray Sources in the Fields of Unidentified 4FGL-DR4 Sources. YANG H., HARE J. and KARGALTSEV O.
2025ApJS..281...53G 47           X         1 38 ~ 1FLAT: A Firmamento-based Catalog of Active Galactic Nuclei in Fermi-LAT High-Galactic-latitude γ-Ray Sources. GIOMMI P., DORO M., GOUVEA M., et al.

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