LEDA 3092152 , the SIMBAD biblio

LEDA 3092152 , the SIMBAD biblio (24 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.14CEST12:40:21


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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.
2013ApJS..208....7J viz 15       D               1 966 27 On the nature of sodium excess objects. I. Data and observed trends. JEONG H., YI S.K., KYEONG J., et al.
2014MNRAS.439.2837D 286       D     X   F     7 12 7 A panchromatic survey of post-starburst mergers: searching for feedback. DE PROPRIS R. and MELNICK J.
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...801....1D 16       D               1 36 ~ Discovery of large molecular gas reservoirs in post-starburst galaxies. DECKER FRENCH K., YANG Y., ZABLUDOFF A., et al.
2015MNRAS.448..221E 16       D               1 93 30 The neutral gas content of post-merger galaxies. ELLISON S.L., FERTIG D., ROSENBERG J.L., et al.
2014Sci...346..905F 4 1 The mystery of the dead galaxies. FINKBEINER A.
2015ApJ...809...91P viz 16       D               1 1816 6 Outflows in sodium excess objects. PARK J., JEONG H. and YI S.K.
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.
2018ApJ...855...51S 16       D               10 45 44 After the fall: the dust- and gas in E+A post-starburst galaxies. SMERCINA A., SMITH J.D.T., DALE D.A., et al.
2018MNRAS.477.1708P viz 16       D               1 163 49 The origins of post-starburst galaxies at z < 0.05. PAWLIK M.M., TAJ ALDEEN L., WILD V., et al.
2018ApJ...868...99F viz 16       D               2 19564 4 Identifying tidal disruption events via prior photometric selection of their preferred hosts. FRENCH K.D. and ZABLUDOFF A.I.
2019ApJ...879..131L viz 16       D               1 57 ~ The evolution of the interstellar medium in post-starburst galaxies. LI Z., FRENCH K.D., ZABLUDOFF A.I., 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.
2022ApJ...929..154S 18       D               4 10 16 After The Fall: Resolving the Molecular Gas in Post-starburst Galaxies. SMERCINA A., SMITH J.-D.T., FRENCH K.D., 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.
2022MNRAS.517L.126S 272       D     X   F     6 9 2 Do post-starburst galaxies host compact molecular gas reservoirs? SUN F. and EGAMI E.
2023ApJ...942...25F 322       D     X         8 9 7 The State of the Molecular Gas in Post-starburst Galaxies. FRENCH K.D., SMERCINA A., ROWLANDS K., 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.
2023MNRAS.523..720L 87               F     1 22 ~ Post-starburst properties of post-merger galaxies. LI W., NAIR P., ROWLANDS K., et al.
2023MNRAS.524.2741B 17       D               1 134 ~ Star formation and molecular gas properties of post-starburst galaxies. BARON D., NETZER H., FRENCH K.D., et al.
2023ApJS..269....3M viz 17       D               1 356397 ~ Siena Galaxy Atlas 2020. MOUSTAKAS J., LANG D., DEY 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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