MCG+09-19-105 , the SIMBAD biblio

MCG+09-19-105 , the SIMBAD biblio (21 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.17CEST01:10:16

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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
1999A&AS..140...89P viz 14       D               1 16703 9 Galaxy coordinates. II. Accurate equatorial coordinates for 17298 galaxies. PATUREL G., PETIT C., PRUGNIEL P., 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.
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.
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.
2016A&A...587L...7T viz 16       D               1 78 6 Metallicity from Type II supernovae from the (i)PTF. TADDIA F., MOQUIST P., SOLLERMAN J., 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.
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.
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.
2020MNRAS.495.4158F viz 16       D               1 682 26 SDSS-IV MaNGA: spatially resolved star formation in barred galaxies. FRASER-MCKELVIE A., ARAGON-SALAMANCA A., MERRIFIELD M., 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.
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.
2021MNRAS.505.1742R 17       D               1 264 9 The iron yield of normal Type II supernovae. RODRIGUEZ O., MEZA N., PINEDA-GARCIA J., et al.
2021RAA....21..306Z viz 17       D               1 264 ~ Spatially resolved properties of supernova host galaxies in SDSS-IV MaNGA. ZHANG H.-X., CHEN Y.-M., SHI Y., 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.
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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