LEDA 1708554 , the SIMBAD biblio

LEDA 1708554 , the SIMBAD biblio (12 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.14CEST20:20:35

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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.
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.
2012MNRAS.421.1043S viz 15       D               2 3198 151 Strongly star forming galaxies in the local Universe with nebular He II λ4686 emission. SHIRAZI M. and BRINCHMANN J.
2012MNRAS.423..600S viz 15       D               1 3593 93 Type 1 AGN at low z. I. Emission properties. STERN J. and LAOR A.
2013ApJ...763..133T viz 15       D               1 561 25 A census of broad-line active galactic nuclei in nearby galaxies: coeval star formation and rapid black hole growth. TRUMP J.R., HSU A.D., FANG J.J., et al.
2013MNRAS.431..836S viz 15       D               1 3175 39 Type 1 AGN at low z - III. The optical narrow-line ratios. STERN J. and LAOR A.
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.
2015ApJ...804L..15S viz 16       D               1 7921 26 Dissecting the quasar main sequence: insight from host galaxy properties. SUN J. and SHEN Y.
2015ApJS..219....1O viz 16       D               1 5555 88 A new catalog of type 1 AGNs and its implications on the AGN unified model. OH K., YI S.K., SCHAWINSKI K., et al.
2019ApJS..243...21L viz 16       D               1 14589 47 A comprehensive and uniform sample of broad-line active galactic nuclei from the SDSS DR7. LIU H.-Y., LIU W.-J., DONG X.-B., et al.
2021ApJS..256...34C viz 17       D               1 1297 ~ Classifying Seyfert galaxies with deep learning. CHEN Y.C.
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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