2MASS J14345466+3349199 , the SIMBAD biblio

2MASS J14345466+3349199 , the SIMBAD biblio (10 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.18CEST17:02:24

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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
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.
2008ApJ...685..235P viz 15       D               2 950 110 The luminosity dependence of the galaxy merger rate. PATTON D.R. and ATFIELD J.E.
2011ApJ...737..101L viz 15       D               1 2621 118 Active galactic nucleus pairs from the Sloan Digital Sky Survey. I. The frequency on ∼5-100 kpc scales. LIU X., SHEN Y., STRAUSS M.A., 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.
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.
2017MNRAS.464.3882W viz 16       D               1 1162 63 Incidence of WISE-selected obscured AGNs in major mergers and interactions from the SDSS. WESTON M.E., McINTOSH D.H., BRODWIN M., et al.
2018ApJ...868...99F viz 16       D               1 19564 4 Identifying tidal disruption events via prior photometric selection of their preferred hosts. FRENCH K.D. and ZABLUDOFF A.I.
2020ApJ...900...79H viz 16       D               1 138 14 A Chandra X-ray Survey of optically selected AGN pairs. HOU M., LI Z. and LIU X.
2020MNRAS.498.4943B viz 16       D               1 4016 15 Are the Milky Way and Andromeda unusual? A comparison with Milky Way and Andromeda analogues. BOARDMAN N., ZASOWSKI G., NEWMAN J.A., 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.

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