SDSS J021131.44+141202.4 , the SIMBAD biblio

SDSS J021131.44+141202.4 , the SIMBAD biblio (17 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.19CEST07:22:15

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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
2003AJ....125.1817B viz 8657 242 Early-type galaxies in the Sloan Digital Sky Survey. I. The sample. BERNARDI M., SHETH R.K., ANNIS J., 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.
2011MNRAS.415...32S viz 15       D               1 312 435 COLD GASS, an IRAM legacy survey of molecular gas in massive galaxies – I. Relations between H2, H I, stellar content and structural properties. SAINTONGE A., KAUFFMANN G., KRAMER C., et al.
2011AJ....142..170H viz 15       D               1 15886 568 The Arecibo Legacy Fast ALFA survey: the α.40 H I source catalog, its characteristics and their impact on the derivation of the H I mass function. HAYNES M.P., GIOVANELLI R., MARTIN A.M., et al.
2012A&A...544A..65C viz 15       D               1 257 71 The GALEX Arecibo SDSS survey. VI. Second data release and updated gas fraction scaling relations. CATINELLA B., SCHIMINOVICH D., KAUFFMANN G., et al.
2017ApJS..233...22S viz 16       D               1 533 334 xCOLD GASS: the complete IRAM 30 m legacy survey of molecular gas for galaxy evolution studies. SAINTONGE A., CATINELLA B., TACCONI L.J., et al.
2017MNRAS.471.2687B viz 16       D               1 7831 45 On the interdependence of galaxy morphology, star formation and environment in massive galaxies in the nearby Universe. BAIT O., BARWAY S. and WADADEKAR Y.
2018ApJ...861...49H viz 16       D               1 31270 293 The Arecibo Legacy Fast ALFA survey: the ALFALFA extragalactic H I source catalog. HAYNES M.P., GIOVANELLI R., KENT B.R., et al.
2019ApJS..244....3D viz 16       D               1 23803 ~ Circumventing the effects of projection and dust using inclination-independent infrared galaxy structure measurements: method, error analysis, and a new public catalog of near-infrared galaxy structures. DEVOUR B.M. and BELL E.F.
2019MNRAS.487.5572M viz 16       D               1 4573 ~ Connecting galaxy structure and star formation: the role of environment in formation of S0 galaxies. MISHRA P.K., WADADEKAR Y. and BARWAY S.
2021RAA....21..123L 17       D               2 172 ~ The HI gas and star formation in star-forming galaxies selected from ALFALFA. LEI F.-J., WU H., ZHU Y.-N., et al.
2022ApJS..261...21Y viz 17       D               1 29963 6 Statistical Analysis of H I Profile Asymmetry and Shape for Nearby Galaxies. YU N., HO L.C., WANG J., 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..267...41K viz 17       D               1 2026 ~ Minor Mergers Are Not Enough: The Importance of Major Mergers during Brightest Cluster Galaxy Assembly. KLUGE M. and BENDER R.
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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