LEDA 2231252 , the SIMBAD biblio

LEDA 2231252 , the SIMBAD biblio (21 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.14CEST22:37:32


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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.
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.
2015MNRAS.446.3749Y viz 16       D               6 3838 12 Box/peanut and bar structures in edge-on and face-on nearby galaxies in the Sloan Digital Sky Survey - I. Catalogue. YOSHINO A. and YAMAUCHI C.
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.
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.
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.
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...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.
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.497.4753Z 82               F     1 8 ~ SDSS-IV MaNGA: Bayesian analysis of the star formation history of low-mass galaxies in the local Universe. ZHOU S., MO H.J., LI C., et al.
2020ApJ...902..145K viz 16       D               1 10723 45 Cosmicflows-4: the catalog of ∼10,000 Tully-Fisher distances. KOURKCHI E., TULLY R.B., EFTEKHARZADEH 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.
2021A&A...646A.113D viz 17       D               2 1411 ~ Toward Cosmicflows-4: The HI data catalog. DUPUY A., COURTOIS H.M., GUINET D., et al.
2022MNRAS.511.6160K viz 17       D               1 10144 10 Cosmicflows-4: the baryonic Tully-Fisher relation providing ∼10 000 distances. KOURKCHI E., TULLY R.B., COURTOIS H.M., 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.
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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