LEDA 1901903 , the SIMBAD biblio

LEDA 1901903 , the SIMBAD biblio (19 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.14CEST20:59:03


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Title First 3 Authors
1988A&AS...74...83S viz 7596 9 Study of a field in the Coma supercluster. I. Automated galaxies count. SLEZAK E., MARS G., BIJAOUI A., 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.
2012ApJ...746L..22K viz 15       D               2 166 189 Understanding dual active galactic nucleus activation in the nearby Universe. KOSS M., MUSHOTZKY R., TREISTER 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.
2016ApJS..225...23S viz 16       D               1 6768 9 Catalogs of compact groups of galaxies from the enhanced SDSS DR12. SOHN J., GELLER M.J., HWANG H.S., et al.
2017A&A...599A..71D viz 16       D               1 209271 41 Aperture-free star formation rate of SDSS star-forming galaxies. DUARTE PUERTAS S., VILCHEZ J.M., IGLESIAS-PARAMO J., et al.
2018MNRAS.481.3497S viz 16       D               1 198 31 JINGLE, a JCMT legacy survey of dust and gas for galaxy evolution studies - I. Survey overview and first results. SAINTONGE A., WILSON C.D., XIAO T., et al.
2019MNRAS.486.4166S viz 16       D               1 199 3 JINGLE, a JCMT legacy survey of dust and gas for galaxy evolution studies: II. SCUBA-2 850 µm data reduction and dust flux density catalogues. SMITH M.W.L., CLARK C.J.R., DE LOOZE I., et al.
2019MNRAS.489.4389L viz 16       D               1 195 21 JINGLE - V. Dust properties of nearby galaxies derived from hierarchical Bayesian SED fitting. LAMPERTI I., SAINTONGE A., DE LOOZE I., et al.
2020ApJS..246...12Z viz 16       D               1 25546 12 Compact groups of galaxies in Sloan Digital Sky Survey and LAMOST spectral Survey. I. The catalogs. ZHENG Y.-L. and SHEN S.-Y.
2022MNRAS.514.3294B viz 17       D               1 311 8 Star formation characteristics of CNN-identified post-mergers in the Ultraviolet Near Infrared Optical Northern Survey (UNIONS). BICKLEY R.W., ELLISON S.L., PATTON D.R., 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.
2022A&A...666A.186D viz 17       D               1 194359 6 Mass-metallicity and star formation rate in galaxies: A complex relation tuned to stellar age. DUARTE PUERTAS S., VILCHEZ J.M., IGLESIAS-PARAMO J., 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..268...63M viz 17       D               1 562 ~ The New Swift/UVOT+MaNGA (SwiM) Value-added Catalog. MOLINA M., DUFFY L., ERACLEOUS M., et al.
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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