5C 2.189 , the SIMBAD biblio

5C 2.189 , the SIMBAD biblio (19 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.15CEST06:14:25


Sort references on where and how often the object is cited
trying to find the most relevant references on this object.
More on score
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
1968MNRAS.139..529P 212 59 The 5C2 Survey of radio-sources POOLEY G.G. and KENDERDINE S.
1984A&A...139...85M 115 12 A deep survey of the 5C2 area at 4850 MHz. MASLOWSKI J., PAULINY-TOTH I.I.K., WITZEL A., et al.
2002ApJ...566..181C 55 29 On the cosmological evolution of BL Lacertae objects. CACCIANIGA A., MACCACARO T., WOLTER A., et al.
2006A&A...455..773V viz 108223 628 A catalogue of quasars and active nuclei: 12th edition. VERON-CETTY M.-P. and VERON P.
2010A&A...518A..10V viz 15       D               1 168913 597 A catalogue of quasars and active nuclei: 13th edition. VERON-CETTY M.-P. and VERON P.
2017A&A...598A..17C viz 16       D               1 1692 30 2WHSP: A multi-frequency selected catalogue of high energy and very high energy γ-ray blazars and blazar candidates. CHANG Y.-L., ARSIOLI B., GIOMMI P., et al.
2019A&A...632A..77C viz 16       D               1 2017 54 The 3HSP catalogue of extreme and high-synchrotron peaked blazars. CHANG Y.-L., ARSIOLI B., GIOMMI P., 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.
2020PASP..132k4102P viz 16       D               1 585 ~ Beamed and unbeamed emission of γ-ray blazars. PEI Z., FAN J., YANG J., 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.
2023MNRAS.523.4120D 17       D               1 420 ~ Hybrid deep learning for blazar classification and correlation search with neutrinos. DING J., HUANG Y., LI X.-D., 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.

goto View the references in ADS