LEDA 3947008 , the SIMBAD biblio

LEDA 3947008 , the SIMBAD biblio (30 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.14CEST18:29:36

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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
1999AJ....118.2561G viz 298 63 An imaging and spectroscopic survey of galaxies within prominent nearby voids. I. The sample and luminosity distribution. GROGIN N.A. and GELLER M.J.
2000AJ....119...32G viz 463 68 An imaging and spectroscopic survey of galaxies within prominent nearby voids. II. Morphologies, star formation, and faint companions. GROGIN N.A. and GELLER M.J.
2005ApJ...633..844P viz 15       D               1 76 86 Dark matter and stellar mass in the luminous regions of disk galaxies. PIZAGNO J., PRADA F., WEINBERG D.H., et al.
2004BSAO...57....5M viz 17999 28 The 2MASS-selected flat galaxy catalog. MITRONOVA S.N., KARACHENTSEV I.D., KARACHENTSEVA V.E., 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.
2011MNRAS.417.2347R viz 15       D               1 195 94 Calibrated Tully–Fisher relations for improved estimates of disc rotation velocities. REYES R., MANDELBAUM R., GUNN J.E., 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.
2015AstBu..70...24M viz 16       D               1 16520 1 Visual survey of 18020 objects from the 2MFGC catalog. MITRONOVA S.N. and KOROTKOVA G.G.
2017MNRAS.466.2570B viz 16       D               1 587 84 SDSS-IV MaNGA - the spatially resolved transition from star formation to quiescence. BELFIORE F., MAIOLINO R., MARASTON C., et al.
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.
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.
2018MNRAS.476.1765L viz 16       D               1 2080 86 SDSS-IV MaNGA: global stellar population and gradients for about 2000 early-type and spiral galaxies on the mass-size plane. LI H., MAO S., CAPPELLARI M., et al.
2018MNRAS.477.4711G viz 16       D               1 2755 110 SDSS-IV MaNGA: stellar angular momentum of about 2300 galaxies: unveiling the bimodality of massive galaxy properties. GRAHAM M.T., CAPPELLARI M., LI H., et al.
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.
2019ApJ...872..148C viz 16       D               1 15663 21 Radio sources in the nearby universe. CONDON J.J., MATTHEWS A.M. and BRODERICK J.J.
2019ApJ...882....9S viz 16       D               1 735 32 Characterizing the local relation between star formation rate and gas-phase metallicity in MaNGA spiral galaxies. SANCHEZ-MENGUIANO L., SANCHEZ ALMEIDA J., MUNOZ-TUNON C., et al.
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.492.4680W viz 16       D               1 2726 44 Ionized gas outflow signatures in SDSS-IV MaNGA active galactic nuclei. WYLEZALEK D., FLORES A.M., ZAKAMSKA N.L., et al.
2020ApJ...894...57S viz 16       D               1 388 ~ Environmental influences on star formation in low-mass galaxies observed by the SDSS-IV/MaNGA Survey. SUN J., BARGER K.A., FRINCHABOY P.M., et al.
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.
2020MNRAS.495.4820L viz 16       D               1 1340 ~ SDSS-IV MaNGA: stellar population correlates with stellar root-mean-square velocity Vrms gradients or total-density-profile slopes at fixed effective velocity dispersion σe. LU S., CAPPELLARI M., MAO S., et al.
2020ApJ...903...52S viz 16       D               1 666 ~ Local and global gas metallicity versus stellar age relation in MaNGA galaxies. SANCHEZ-MENGUIANO L., SANCHEZ ALMEIDA J., MUNOZ-TUNON C., et al.
2022MNRAS.513..389R viz 17       D               1 1816 8 Star-forming S0 Galaxies in SDSS-MaNGA: fading spirals or rejuvenated S0s? RATHORE H., KUMAR K., MISHRA P.K., 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.
2023MNRAS.522.6326Z 87               F     1 102 4 MaNGA DynPop - I. Quality-assessed stellar dynamical modelling from integral-field spectroscopy of 10K nearby galaxies: a catalogue of masses, mass-to-light ratios, density profiles, and dark matter. ZHU K., LU S., CAPPELLARI M., 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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