RX J0420.8-0751 , the SIMBAD biblio

RX J0420.8-0751 , the SIMBAD biblio (16 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.18CEST02:27:28

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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
1970AJ.....75..351E 4207 76 The Ohio Survey between 0 and -36 degrees. EHMAN J.R., DIXON R.S. and KRAUS J.D.
1994A&A...281..355B viz 342 112 The X-ray AGN content of the Molonglo 408 MHz survey : bulk properties of previously optically identified sources. BRINKMANN W., SIEBERT J. and BOLLER T.
2010A&A...511A..53V viz 15       D               1 107473 39 The SPECFIND V2.0 catalogue of radio cross-identifications and spectra. SPECFIND meets the Virtual Observatory. VOLLMER B., GASSMANN B., DERRIERE S., et al.
2011MNRAS.417.2651M viz 15       D               1 5893 47 Optical properties of high-frequency radio sources from the Australia Telescope 20 GHz (AT20G) Survey. MAHONY E.K., SADLER E.M., CROOM S.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.
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.
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..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.
2022MNRAS.516.5702O 187       D     X         5 28 2 Optical spectroscopic characterization of Fermi blazar candidates of uncertain type with TNG and DOT: first results. OLMO-GARCIA A., PALIYA V.S., ALVAREZ CRESPO N., 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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