LEDA 2568088 , the SIMBAD biblio

LEDA 2568088 , the SIMBAD biblio (20 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.14CEST12:58:51


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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.
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.
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.
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...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.
2020ApJS..246....2A viz 16       D               1 36251 ~ GalWeight application: a publicly available catalog of dynamical parameters of 1800 galaxy clusters from SDSS-DR13, (GalWCat19). ABDULLAH M.H., WILSON G., KLYPIN A., 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.
2021ApJ...908..165P viz 17       D               1 631 ~ SDSS-IV/MaNGA: can impulsive gaseous inflows explain steep oxygen abundance profiles and anomalously low-metallicity regions? PACE Z.J., TREMONTI C., SCHAEFER A.L., et al.
2021A&A...650A.111R 17       D               1 127 31 LoTSS jellyfish galaxies. I. Radio tails in low redshift clusters. ROBERTS I.D., VAN WEEREN R.J., McGEE S.L., et al.
2021MNRAS.506..727K 84               F     2 32 2 A study of the central stellar populations of galaxies in SDSS-IV MaNGA: identification of a subsample with unusually young and massive stars. KAUFFMANN G.
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.
2022ApJ...941...77R 17       D               2 38 7 LoTSS Jellyfish Galaxies. IV. Enhanced Star Formation on the Leading Half of Cluster Galaxies and Gas Compression in IC3949. ROBERTS I.D., LANG M., TROTSENKO D., 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.
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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