ATPMN J213913.3-673208 , the SIMBAD biblio

ATPMN J213913.3-673208 , the SIMBAD biblio (23 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.16CEST18:01:54

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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
1994ApJS...91..111W viz 4374 324 The Parkes-MIT-NRAO (PMN) Surveys: II. Source catalog for the Southern Survey (-87deg.5 < delta < -37deg). WRIGHT A.E., GRIFFITH M.R., BURKE B.F., et al.
2010ApJS..188..405A viz 15       D               1 1513 938 Fermi Large Area Telescope First Source Catalog. ABDO A.A., ACKERMANN M., AJELLO M., et al.
2012ApJS..199...31N viz 15       D               1 2260 1282 Fermi Large Area Telescope second source catalog. NOLAN P.L., ABDO A.A., ACKERMANN M., et al.
2012MNRAS.422.1527M viz 15       D               2 6426 22 ATPMN: accurate positions and flux densities at 5 and 8 GHz for 8385 sources from the PMN survey. McCONNELL D., SADLER E.M., MURPHY T., et al.
2012ApJ...753...83A viz 15       D               1 669 88 A statistical approach to recognizing source classes for unassociated sources in the first Fermi-LAT catalog. ACKERMANN M., AJELLO M., ALLAFORT A., et al.
2014Natur.515..376G viz 15       D               1 208 316 The power of relativistic jets is larger than the luminosity of their accretion disks. GHISELLINI G., TAVECCHIO F., MARASCHI L., et al.
2015ApJS..217....2M viz 16       D               1 2199 42 Refining the associations of the Fermi large area telescope source catalogs. MASSARO F., D'ABRUSCO R., LANDONI M., 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.
2020ApJ...897...10Z viz 16       D               1 333 ~ Doppler factor estimation for Fermi blazars. ZHANG L., CHEN S., XIAO H., et al.
2021ApJS..253...46P viz 17       D               1 1078 38 The central engines of Fermi blazars. PALIYA V.S., DOMINGUEZ A., AJELLO M., 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.
2022ApJ...925...40X viz 17       D               1 668 12 The Relativistic Jet and Central Engine of Fermi Blazars. XIAO H., OUYANG Z., ZHANG L., 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.
2022PASP..134h4102H viz 17       D               1 620 ~ Constraining the γ-Ray Emission Region for Fermi-detected FSRQs by the Seed Photon Approach. HUANG D., LI Z., LIAO J., et al.
2022ApJ...936..146X viz 17       D               2 661 2 An Extensive Study of Blazar Broad Emission Line: Changing-look Blazars and the Baldwin Effect. XIAO H., FAN J., OUYANG Z., 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.
2024MNRAS.530.2282D 1940 ~ Predicting conditional probability distributions of redshifts of Active Galactic Nuclei using Hierarchical Correlation Reconstruction. DUDA J. and BHATTA G.
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.

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