LEDA 1776938 , the SIMBAD biblio

LEDA 1776938 , the SIMBAD biblio (20 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.14CEST20:58:44

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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
1995AJ....110.2009O viz 32173 32 Galaxy properties at the North Galactic Pole. I. Photometric properties on large spatial scales. ODEWAHN S.C. and ALDERING 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.
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.
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.
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.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.
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.
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.489.4389L 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.
2020MNRAS.496.3668D viz 16       D               1 421 31 JINGLE - IV. Dust, H I gas, and metal scaling laws in the local Universe. DE LOOZE I., LAMPERTI I., SAINTONGE A., 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.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.
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..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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