LEDA 3088553 , the SIMBAD biblio

LEDA 3088553 , the SIMBAD biblio (12 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.15CEST04:20:23


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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.
2003ApJ...598..260P viz 5078 196 Observing the dark matter density profile of isolated galaxies. PRADA F., VITVITSKA M., KLYPIN A., et al.
2008MNRAS.390.1133B viz 15       D               1 1597 48 The anisotropic distribution of satellite galaxies. BAILIN J., POWER C., NORBERG P., et al.
2011MNRAS.416.2840L viz 15       D               1 72558 178 The 2M++ galaxy redshift catalogue. LAVAUX G. and HUDSON M.J.
2013ApJ...778..188T viz 15       D               1 618 17 Empirical links between XRB and AGN accretion using the complete z < 0.4 spectroscopic CSC/SDSS catalog. TRICHAS M., GREEN P.J., CONSTANTIN A., et al.
2016A&A...588A..14T viz 16       D               1 84079 35 Friends-of-friends galaxy group finder with membership refinement. TEMPEL E., KIPPER R., TAMM A., et al.
2022MNRAS.509.3966W viz 17       D               1 89291 61 Galaxy Zoo DECaLS: Detailed visual morphology measurements from volunteers and deep learning for 314 000 galaxies. WALMSLEY M., LINTOTT C., GERON T., 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.
2023ApJ...945..127N 104       D     X         3 72 1 A Catalog of 71 Coronal Line Galaxies in MaNGA: [Ne V] Is an Effective AGN Tracer. NEGUS J., COMERFORD J.M., SANCHEZ F.M., et al.
2023A&A...673A.100C viz 17       D               1 189 1 A UNIONS view of the brightest central galaxies of candidate fossil groups. CHU A., DURRET F., ELLIEN A., 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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