MCG+00-60-041 , the SIMBAD biblio

MCG+00-60-041 , the SIMBAD biblio (31 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.17CEST02:56:51

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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
1998PASP..110..779C viz 4310 3 Accurate positions for MCG galaxies. CORWIN H.G.Jr, PESENSON I., SCHMITZ M., et al.
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.
2005ApJ...633..844P viz 15       D               1 76 86 Dark matter and stellar mass in the luminous regions of disk galaxies. PIZAGNO J., PRADA F., WEINBERG D.H., et al.
2006A&A...445..765K viz 3173 67 A catalog of edge-on disk galaxies. From galaxies with a bulge to superthin galaxies. KAUTSCH S.J., GREBEL E.K., BARAZZA F.D., et al.
2004BSAO...57....5M viz 17999 28 The 2MASS-selected flat galaxy catalog. MITRONOVA S.N., KARACHENTSEV I.D., KARACHENTSEVA V.E., et al.
2009MNRAS.399..683J viz 15       D               1 124643 796 The 6dF galaxy survey: final redshift release (DR3) and southern large-scale structures. JONES D.H., READ M.A., SAUNDERS W., 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.
2011MNRAS.417.2347R viz 15       D               1 195 94 Calibrated Tully–Fisher relations for improved estimates of disc rotation velocities. REYES R., MANDELBAUM R., GUNN J.E., 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.
2015AstBu..70...24M viz 16       D               1 16520 1 Visual survey of 18020 objects from the 2MFGC catalog. MITRONOVA S.N. and KOROTKOVA G.G.
2015ApJ...810..166E viz 16       D               1 2287 10 RESOLVE survey photometry and volume-limited calibration of the photometric gas fractions technique. ECKERT K.D., KANNAPPAN S.J., STARK D.V., et al.
2016ApJ...832..126S viz 16       D               1 2164 18 The RESOLVE survey atomic gas census and environmental influences on galaxy gas reservoirs. STARK D.V., KANNAPPAN S.J., ECKERT K.D., et al.
2016A&A...595A.118V viz 16       D               1 2632 30 NIBLES: an H I census of stellar mass selected SDSS galaxies. I. The Nancay H I survey. VAN DRIEL W., BUTCHER Z., SCHNEIDER S., 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.
2018ApJ...857..144H viz 16       D               1 2288 40 The origin of faint tidal features around galaxies in the RESOLVE survey. HOOD C.E., KANNAPPAN S.J., STARK D.V., et al.
2018MNRAS.476.1765L viz 16       D               1 2080 86 SDSS-IV MaNGA: global stellar population and gradients for about 2000 early-type and spiral galaxies on the mass-size plane. LI H., MAO S., CAPPELLARI M., 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.
2019ApJS..244....3D viz 16       D               1 23803 ~ Circumventing the effects of projection and dust using inclination-independent infrared galaxy structure measurements: method, error analysis, and a new public catalog of near-infrared galaxy structures. DEVOUR B.M. and BELL E.F.
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.495.4820L viz 16       D               1 1340 ~ SDSS-IV MaNGA: stellar population correlates with stellar root-mean-square velocity Vrms gradients or total-density-profile slopes at fixed effective velocity dispersion σe. LU S., CAPPELLARI M., MAO S., et al.
2021A&A...646A.113D viz 17       D               1 1411 ~ Toward Cosmicflows-4: The HI data catalog. DUPUY A., COURTOIS H.M., GUINET D., 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..258...29C viz 17       D               1 101251 ~ A Uniformly Selected, Southern-sky 6dF, Optical AGN Catalog. CHEN Y.-P., ZAW I., FARRAR G.R., et al.
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.
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.
2024ApJ...970...83B 18       D               1 2480 ~ Structure and Kinematics of Star-forming Elliptical Galaxies in SDSS-MaNGA. BISWAS P. and WADADEKAR Y.
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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