Z 235-28 , the SIMBAD biblio

Z 235-28 , the SIMBAD biblio (21 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.16CEST05:03:01


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Title First 3 Authors
1996A&AS..117..467G viz 22339 19 An image database. II. Catalogue between δ=-0deg and δ=70deg. GARNIER R., PATUREL G., PETIT C., 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.
2011A&A...532A..74B viz 15       D               1 4469 118 The EFIGI catalogue of 4458 nearby galaxies with detailed morphology. BAILLARD A., BERTIN E., DE LAPPARENT V., 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.
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.
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.
2018MNRAS.473.4731K viz 16       D               1 3462 68 Galaxy Zoo: secular evolution of barred galaxies from structural decomposition of multiband images. KRUK S.J., LINTOTT C.J., BAMFORD S.P., 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.
2019MNRAS.488..590B viz 16       D               1 4467 ~ The systematics of galaxy morphology in the comprehensive de Vaucouleurs revised Hubble-Sandage classification system: application to the EFIGI sample. BUTA R.J.
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.
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.499.1406L viz 16       D               1 265 19 SDSS-IV MaNGA: the indispensable role of bars in enhancing the central star formation of low-z galaxies. LIN L., LI C., DU 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.
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.528.5377C 18       D               2 43 ~ SDSS-IV MaNGA: calibration of astrophysical line-widths in the Hα region using HexPak observations. CHATTOPADHYAY S., BERSHADY M.A., LAW D.R., 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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