PMN J1612+0520 , the SIMBAD biblio

PMN J1612+0520 , the SIMBAD biblio (9 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.18CEST04:00:58

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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
2010ApJ...723.1119L viz 15       D               1 1041 41 On the populations of radio galaxies with extended morphology at z < 0.3. LIN Y.-T., SHEN Y., STRAUSS M.A., et al.
2011ApJ...736...21S viz 15       D               1 195565 104 An optical catalog of galaxy clusters obtained from an adaptive matched filter finder applied to Sloan Digital Sky Survey Data Release 6. SZABO T., PIERPAOLI E., DONG F., et al.
2012MNRAS.421.1569B viz 15       D               3 18458 511 On the fundamental dichotomy in the local radio-AGN population: accretion, evolution and host galaxy properties. BEST P.N. and HECKMAN T.M.
2014ApJS..212...15F viz 15       D               1 24788 60 A broadband polarization catalog of extragalactic radio sources. FARNES J.S., GAENSLER B.M. and CARRETTI E.
2017MNRAS.466.4346M viz 16       D               1 1437 66 The nuclear properties and extended morphologies of powerful radio galaxies: the roles of host galaxy and environment. MIRAGHAEI H. and BEST P.N.
2018AJ....155..188L viz 16       D               1 13497 1 An analysis framework for understanding the origin of nuclear activity in low-power radio galaxies. LIN Y.-T., HUANG H.-J. and CHEN Y.-C.
2020ApJS..247...53K viz 16       D               1 23378 20 Radio sources associated with Optical Galaxies and having Unresolved or Extended morphologies (ROGUE). I. A catalog of SDSS galaxies with FIRST core identifications. KOZIEL-WIERZBOWSKA D., GOYAL A. and ZYWUCKA N.
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.
2022MNRAS.509.3966W viz 17       D               1 89291 61 Galaxy Zoo DECaLS: Detailed visual morphology measurements from volunteers and deep learning for 314 000 galaxies. WALMSLEY M., LINTOTT C., GERON T., et al.

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