LEDA 3561014 , the SIMBAD biblio

LEDA 3561014 , the SIMBAD biblio (12 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.14CEST19:48:31

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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
2005AJ....130.2571J viz 412 12 The KPNO International Spectroscopic Survey. V. Hα-selected survey list 3. JANGREN A., SALZER J.J., SARAJEDINI V.L., et al.
2005AJ....130.2584S viz 613 20 Spectroscopy of KISS emission-line galaxy candidates. IV. KPNO and WIYN observations. SALZER J.J., JANGREN A., GRONWALL C., et al.
2005AJ....130.2647V viz 3 35 386 The recent and continuing assembly of field elliptical galaxies by red mergers. VAN DOKKUM P.G.
2009MNRAS.400.1264S 90       D         F     4 34 19 Are dry mergers dry, moist or wet ? SANCHEZ-BLAZQUEZ P., GIBSON B.K., KAWATA D., et al.
2011ApJ...730..130D 15       D               2 55 3 The dirt on dry mergers. DESAI V., DEY A., COHEN E., et al.
2012ApJS..200....8K viz 15       D               1 21798 154 AGES: the AGN and Galaxy Evolution Survey. KOCHANEK C.S., EISENSTEIN D.J., COOL R.J., et al.
2012ApJS..201...31G viz 15       D               1 15563 75 Double-peaked narrow emission-line galaxies from the Sloan Digital Sky Survey. I. Sample and basic properties. GE J.-Q., HU C., WANG J.-M., 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.
2014MNRAS.443.2711Y 15       D               1 94 2 Comparing infrared star formation rate indicators with optically derived quantities. YOUNG J.E., GRONWALL C., SALZER J.J., et al.
2021A&A...655A..17S viz 17       D               1 338578 3 The SPECFIND V3.0 catalog of radio continuum cross-identifications and spectra: Reaching lower frequencies. STEIN Y., VOLLMER B., BOCH T., et al.
2022MNRAS.509.3966W viz 17       D               1 89291 61 Galaxy Zoo DECaLS: Detailed visual morphology measurements from volunteers and deep learning for 314 000 galaxies. WALMSLEY M., LINTOTT C., GERON T., et al.
2023ApJS..269....3M viz 17       D               1 356397 ~ Siena Galaxy Atlas 2020. MOUSTAKAS J., LANG D., DEY A., et al.

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