LEDA 11125 , the SIMBAD biblio

LEDA 11125 , the SIMBAD biblio (23 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.14CEST19:48:24


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Title First 3 Authors
1980AnTok..18...55N viz 587 63 A search for ultraviolet-excess objects. NOGUCHI T., MAEHARA H. and KONDO M.
1988AnTok..22...41T viz 310 5 Kiso survey for ultraviolet-excess galaxies. VIII. TAKASE B. and MIYAUCHI-ISOBE N.
1996A&AS..117..467G viz 22339 19 An image database. II. Catalogue between δ=-0deg and δ=70deg. GARNIER R., PATUREL G., PETIT C., et al.
1996AJ....111..865D 156 9 Spectral types for objects in the Kiso survey. X. Data for 156 objects. DARLING G.W. and WEGNER G.
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.
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.
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.
2015ApJS..220....3K viz 16       D               1 6072 10 Demographics of isolated galaxies along the Hubble sequence. KHIM H.-G., PARK J., SEO S.-W., 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.
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.
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.493...87T viz 16       D               1 988 46 A physically motivated definition for the size of galaxies in an era of ultradeep imaging. TRUJILLO I., CHAMBA N. and KNAPEN J.H.
2020MNRAS.494.4751M viz 16       D               1 30 ~ A cautionary tale of attenuation in star-forming regions. MOLINA M., AJGAONKAR N., YAN R., 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.
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.
2023MNRAS.521.1264T 87               F     2 43 2 Unveiling hidden active nuclei in MaNGA star-forming galaxies with He II λ4686 line emission. TOZZI G., MAIOLINO R., CRESCI G., 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.
2023MNRAS.526..904D 17       D               2 29 ~ The IRX-β relation in kpc-sized star-forming regions in nearby galaxies. DUFFY L., MOLINA M., ERACLEOUS M., et al.
2023ApJS..269....3M viz 17       D               1 356397 ~ Siena Galaxy Atlas 2020. MOUSTAKAS J., LANG D., DEY 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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