LEDA 84240 , the SIMBAD biblio

LEDA 84240 , the SIMBAD biblio (20 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.14CEST16:13:04

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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
1988IRASP.C......0J viz 14       D               1 245223 ~ Infrared Astronomical Satellite Catalogs, 1988. The Point Source Catalog, version 2.0, NASA RP-1190 JOINT IRAS SCIENCE WORKING GROUP
2000A&AS..144..475P viz 14       D               1 16406 8 Galaxy coordinates. III. Accurate positions for 17124 galaxies including 3301 new companions of UGC galaxies. PATUREL G., PETIT C., GARNIER R., et al.
2000MNRAS.317...55S viz 14       D               1 16424 457 The PSCz catalogue. SAUNDERS W., SUTHERLAND W.J., MADDOX S.J., 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.
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.
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.
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.
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.
2019MNRAS.489.5709C 16       D               1 69 32 Post-starburst galaxies in SDSS-IV MaNGA. CHEN Y.-M., SHI Y., WILD V., 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.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...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.
2022MNRAS.511.4223A viz 17       D               1 370 2 Cool outflows in MaNGA: a systematic study and comparison to the warm phase. AVERY C.R., WUYTS S., FORSTER SCHREIBER N.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.
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.
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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