Z 16-77 , the SIMBAD biblio

Z 16-77 , the SIMBAD biblio (21 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.14CEST14:51:05


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Title First 3 Authors
1987A&AS...68..427R 411 46 HI observations of galaxies in between the Local and the Hydra/Centaurus superclusters. RICHTER O.-G. and HUCHTMEIER W.K.
1998ApJS..119..277G viz 1085 28 A complete redshift survey to the Zwicky catalog limit in a 2hx15° region around 3C 273. GROGIN N.A., GELLER M.J. and HUCHRA J.P.
1999A&AS..140...89P viz 14       D               1 16703 9 Galaxy coordinates. II. Accurate equatorial coordinates for 17298 galaxies. PATUREL G., PETIT C., PRUGNIEL P., et al.
1999ApJS..125..409C viz 13439 54 Arcsecond positions of UGC galaxies. COTTON W.D., CONDON J.J. and ARBIZZANI E.
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.
2009MNRAS.399..683J viz 15       D               1 124643 796 The 6dF galaxy survey: final redshift release (DR3) and southern large-scale structures. JONES D.H., READ M.A., SAUNDERS W., 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.
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...812...89M viz 16       D               1 12670 7 ECO and RESOLVE: galaxy disk growth in environmental context. MOFFETT A.J., KANNAPPAN S.J., BERLIND A.A., et al.
2017ApJ...837..120G viz 16       D               1 14404 66 LOSS revisited. I. Unraveling correlations between supernova rates and galaxy properties, as measured in a reanalysis of the Lick Observatory Supernova Search. GRAUR O., BIANCO F.B., HUANG S., et al.
2017ApJ...849...20E viz 16       D               2 9926 2 The baryonic collapse efficiency of galaxy groups in the RESOLVE and ECO surveys. ECKERT K.D., KANNAPPAN S.J., LAGOS C.D.P., et al.
2017MNRAS.471.2687B viz 16       D               1 7831 45 On the interdependence of galaxy morphology, star formation and environment in massive galaxies in the nearby Universe. BAIT O., BARWAY S. and WADADEKAR Y.
2019ApJS..244....3D viz 16       D               1 23803 ~ Circumventing the effects of projection and dust using inclination-independent infrared galaxy structure measurements: method, error analysis, and a new public catalog of near-infrared galaxy structures. DEVOUR B.M. and BELL E.F.
2019MNRAS.487.5572M viz 16       D               1 4573 ~ Connecting galaxy structure and star formation: the role of environment in formation of S0 galaxies. MISHRA P.K., WADADEKAR Y. and BARWAY S.
2020MNRAS.494.1784A viz 16       D               1 47437 9 Local AGN survey (LASr): I. Galaxy sample, infrared colour selection, and predictions for AGN within 100 Mpc. ASMUS D., GREENWELL C.L., GANDHI P., 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.527.7438R viz 18       D               1 4215 ~ The Tully-Fisher relation from SDSS-MaNGA: physical causes of scatter and variation at different radii. RISTEA A., CORTESE L., FRASER-MCKELVIE A., et al.
2024ApJ...970...83B 18       D               1 2480 ~ Structure and Kinematics of Star-forming Elliptical Galaxies in SDSS-MaNGA. BISWAS P. and WADADEKAR Y.
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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