LEDA 1811645 , the SIMBAD biblio

LEDA 1811645 , the SIMBAD biblio (11 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.14CEST19:08:21


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Title First 3 Authors
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.
2016ApJS..224....1R viz 16       D               1 670875 246 The redMaPPer galaxy cluster catalog from DES science verification data. RYKOFF E.S., ROZO E., HOLLOWOOD D., 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.
2021MNRAS.507..300S viz 17       D               1 207 5 The puzzling origin of massive compact galaxies in MaNGA. SCHNORR-MULLER A., TREVISAN M., RIFFEL R., et al.
2022MNRAS.514.3626C viz 17       D               1 284 1 SDSS-IV MaNGA: Identification and multiwavelength properties of Type-1 AGN in the DR15 sample. CORTES-SUAREZ E., NEGRETE C.A., HERNANDEZ-TOLEDO H.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..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.
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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