PMN J0527-6225 , the SIMBAD biblio

PMN J0527-6225 , the SIMBAD biblio (19 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.17CEST17:29:18

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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
2003A&A...412...45P viz 15       D               1 956189 750 HYPERLEDA. I. Identification and designation of galaxies. PATUREL G., PETIT C., PRUGNIEL P., 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.
2012ApJS..199...26H viz 15       D               1 48926 517 The 2MASS Redshift Survey - Description and data release. HUCHRA J.P., MACRI L.M., MASTERS K.L., 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.
2016A&A...588A..14T viz 16       D               2 84079 35 Friends-of-friends galaxy group finder with membership refinement. TEMPEL E., KIPPER R., TAMM A., et al.
2018A&A...618A..81T viz 16       D               1 50420 14 Bayesian group finder based on marked point processes. Method and feasibility study using the 2MRS data set. TEMPEL E., KRUUSE M., KIPPER R., et al.
2020MNRAS.494..923C viz 16       D               1 3612 ~ WISE mid-infrared properties of compact active galactic nuclei selected from the high radio frequency AT20G survey. CHHETRI R., KIMBALL A., EKERS R.D., et al.
2021ApJ...914..121A viz 17       D               1 43541 20 The NANOGrav 11 yr data set: limits on supermassive black hole binaries in galaxies within 500 Mpc. ARZOUMANIAN Z., BAKER P.T., BRAZIER A., et al.
2021MNRAS.505.5853G 17       D               1 5834 ~ Artificial Neural Network classification of 4FGL sources. GERMANI S., TOSTI G., LUBRANO P., et al.
2021AJ....162..177P 17       D               6 64 5 Optical spectroscopic observations of gamma-ray blazar Candidates. XI. Optical observations from SOAR, blanco, NTT and OAN-SPM. The story so far. PENA-HERAZO H.A., PAGGI A., GARCIA-PEREZ A., 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..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.
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.
2023ApJS..268...23F viz 17       D               1 2708 ~ Characterizing the Emission Region Properties of Blazars. FAN J., XIAO H., YANG W., et al.
2023ApJS..269....3M viz 17       D               1 356397 ~ Siena Galaxy Atlas 2020. MOUSTAKAS J., LANG D., DEY A., et al.
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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