LEDA 1154230 , the SIMBAD biblio

LEDA 1154230 , the SIMBAD biblio (10 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.14CEST21:41:40

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Bibcode/DOI Score in Title|Abstract|
Keywords 		in a table in teXt, Caption, ... Nb occurence Nb objects in ref Citations
(from ADS) 		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.
2003MNRAS.344..307L viz 63299 194 The Millennium Galaxy Catalogue: 16 ≤BMGC< 24 galaxy counts and the calibration of the local galaxy luminosity function. LISKE J., LEMON D.J., DRIVER S.P., et al.
2004AJ....127.1811L viz 15       D               929 65 A catalog of compact groups of galaxies in the SDSS commissioning data. LEE B.C., ALLAM S.S., TUCKER D.L., et al.
2006A&A...455..773V viz 108223 628 A catalogue of quasars and active nuclei: 12th edition. VERON-CETTY M.-P. and VERON P.
2009MNRAS.395..255M viz 15       D               1 397037 82 Compact groups in theory and practice - III. Compact groups of galaxies in the sixth data release of the Sloan Digital Sky Survey. McCONNACHIE A.W., PATTON D.R., ELLISON S.L., et al.
2010A&A...518A..10V viz 15       D               1 168913 597 A catalogue of quasars and active nuclei: 13th edition. VERON-CETTY M.-P. and VERON P.
2011MNRAS.416..727C viz 15       D               1 3386 57 The Padova–Millennium galaxy and group catalogue (PM2GC): the group-finding method and the PM2GC catalogues of group, binary and single field galaxies. CALVI R., POGGIANTI B.M. and VULCANI B.
2013ApJ...762...77P viz 15       D               1 999 152 Superdense galaxies and the mass-size relation at low redshift. POGGIANTI B.M., CALVI R., BINDONI D., et al.
2013MNRAS.432.3141C viz 15       D               1 3210 26 The impact of global environment on galaxy mass functions at low redshift. CALVI R., POGGIANTI B.M., VULCANI B., 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.

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