NVSS J150422+474110 , the SIMBAD biblio

NVSS J150422+474110 , the SIMBAD biblio (20 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.18CEST08:55:24

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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.
2006MNRAS.367.1017G 37 19 Mining for normal galaxies in the first XMM-Newton Serendipitous Source Catalog. GEORGAKAKIS A.E., CHAVUSHYAN V., PLIONIS M., et al.
2010ApJS..186..427N viz 15       D               1 14033 346 A catalog of detailed visual morphological classifications for 14,034 galaxies in the Sloan Digital Sky Survey. NAIR P.B. and ABRAHAM R.G.
2011A&A...527A.126P viz 15       D               1 16772 65 Cross-correlation of the 2XMMi catalogue with Data Release 7 of the Sloan Digital Sky Survey. PINEAU F.-X., MOTCH C., CARRERA 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.
2012ApJS..201...31G viz 15       D               1 15563 75 Double-peaked narrow emission-line galaxies from the Sloan Digital Sky Survey. I. Sample and basic properties. GE J.-Q., HU C., WANG J.-M., et al.
2014ApJ...788...45T viz 15       D               1 224166 54 Luminosity and redshift dependence of the covering factor of active galactic nuclei viewed with WISE and Sloan Digital Sky Survey. TOBA Y., OYABU S., MATSUHARA H., et al.
2015A&A...580A..73C 5 5 Looking for the least luminous BL Lacertae objects. CAPETTI A. and RAITERI C.M.
2017AJ....154...86W viz 16       D               2 4614 272 The SDSS-IV MaNGA sample: design, optimization, and usage considerations. WAKE D.A., BUNDY K., DIAMOND-STANIC A.M., et al.
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.
2019MNRAS.483.2057F viz 16       D               1 4600 64 SDSS-IV MaNGA PyMorph Photometric and Deep Learning Morphological Catalogues and implications for bulge properties and stellar angular momentum. FISCHER J.-L., DOMINGUEZ SANCHEZ H. and BERNARDI M.
2019MNRAS.484.4933R 260       D     X         7 88 28 Searching for dual AGN in galaxies with double-peaked emission line spectra using radio observations. RUBINUR K., DAS M. and KHARB P.
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.
2020ApJ...901..159C viz 16       D               1 407 26 A catalog of 406 AGNs in MaNGA: a connection between radio-mode AGNs and star formation quenching. COMERFORD J.M., NEGUS J., MULLER-SANCHEZ F., et al.
2022A&A...665A.144M 17       D               1 534 3 Star formation and AGN feedback in the local Universe: Combining LOFAR and MaNGA. MULCAHEY C.R., LESLIE S.K., JACKSON T.M., et al.
2022ApJS..262...36S viz 17       D               1 10075 23 SDSS-IV MaNGA: pyPipe3D Analysis Release for 10,000 Galaxies. SANCHEZ S.F., BARRERA-BALLESTEROS J.K., LACERDA E., et al.
2023A&A...674A..85A viz 17       D               1 6495 2 Classifying the full SDSS-IV MaNGA Survey using optical diagnostic diagrams: Presentation of AGN catalogs in flexible apertures. ALBAN M. and WYLEZALEK D.
2023ApJS..269....3M viz 17       D               1 356397 ~ Siena Galaxy Atlas 2020. MOUSTAKAS J., LANG D., DEY A., et al.
2024MNRAS.529.1472C 376       D S   X   F     7 63 ~ The nature of compact radio-loud AGN: a systematic look at the LOFAR AGN population. CHILUFYA J., HARDCASTLE M.J., PIERCE J.C.S., et al.
2024NatAs...8.1310A viz 18       D               1 10075 ~ Constraints on the in situ and ex situ stellar masses in nearby galaxies obtained with artificial intelligence. ANGELOUDI E., FALCON-BARROSO J., HUERTAS-COMPANY M., et al.

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