2MASS J16125982+4219405 , the SIMBAD biblio

2MASS J16125982+4219405 , the SIMBAD biblio (24 results) C.D.S. - SIMBAD4 rel 1.8 - 2024.04.24CEST05:01:52


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Title First 3 Authors
2000ApJS..126..133W viz 1239 304 The FIRST bright quasar survey. II. 60 nights and 1200 spectra later. WHITE R.L., BECKER R.H., GREGG M.D., et al.
2005AJ....130..367S 46359 269 The Sloan Digital Sky Survey quasar catalog. III. Third data release. SCHNEIDER D.P., HALL P.B., RICHARDS G.T., et al.
2006AJ....131.1948W viz 61 26 Optical properties of radio-selected narrow-line Seyfert 1 galaxies. WHALEN D.J., LAURENT-MUEHLEISEN S.A., MORAN E.C., et al.
2006AJ....131.2766R viz 15       D               15343 714 The Sloan Digital Sky Survey quasar survey: quasar luminosity function from Data Release 3. RICHARDS G.T., STRAUSS M.A., FAN X., et al.
2007AJ....134..102S viz 77435 419 The Sloan Digital Sky Survey quasar catalog. IV. Fifth data release. SCHNEIDER D.P., HALL P.B., RICHARDS G.T., et al.
2008ApJ...680..169S viz 15       D               1 77431 447 Biases in virial black hole masses: an SDSS perspective. SHEN Y., GREENE J.E., STRAUSS M.A., et al.
2008AJ....136.2373R viz 890 251 Space density of optically selected type 2 quasars. REYES R., ZAKAMSKA N.L., STRAUSS M.A., et al.
2009MNRAS.393.1408C viz 504 3 Infrared photometric study of type II quasars. CHEN P.S. and SHAN H.G.
2010A&A...518A..10V viz 15       D               1 168913 597 A catalogue of quasars and active nuclei: 13th edition. VERON-CETTY M.-P. and VERON P.
2012ApJ...746..137W 77             C       1 15 13 Star formation in self-gravitating disks in active galactic nuclei. II. Episodic formation of broad-line regions. WANG J.-M., DU P., BALDWIN J.A., et al.
2012MNRAS.421.1043S viz 15       D               2 3198 151 Strongly star forming galaxies in the local Universe with nebular He II λ4686 emission. SHIRAZI M. and BRINCHMANN J.
2014ApJ...788...45T viz 16       D               1 224162 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.
2015A&A...575A..13F 335       D     X C       8 52 148 Properties of flat-spectrum radio-loud narrow-line Seyfert 1 galaxies. FOSCHINI L., BERTON M., CACCIANIGA A., et al.
2015MNRAS.448.2260G viz 16       D               1 32939 53 A photometric selection of white dwarf candidates in Sloan Digital Sky Survey Data Release 10. GENTILE FUSILLO N.P., GANSICKE B.T. and GREISS S.
2015MNRAS.451.1795C 16       D               3 44 37 WISE colours and star formation in the host galaxies of radio-loud narrow-line Seyfert 1. CACCIANIGA A., ANTON S., BALLO L., et al.
2016A&A...591A..88B viz 16       D               1 122 20 [O III] line properties in two samples of radio-emitting narrow-line Seyfert 1 galaxies. BERTON M., FOSCHINI L., CIROI S., et al.
2016MNRAS.462.1256C 16       D               1 117 42 A spectroscopic analysis of a sample of narrow-line Seyfert 1 galaxies selected from the Sloan Digital Sky Survey. CRACCO V., CIROI S., BERTON M., et al.
2017A&A...603A.100L viz 284           X C       6 92 22 37 GHz observations of narrow-line Seyfert 1 galaxies. LAHTEENMAKI A., JARVELA E., HOVATTA T., et al.
2018ApJ...859..116K viz 16       D               1 888 24 The black hole masses and Eddington ratios of type 2 quasars. KONG M. and HO L.C.
2018A&A...614A..87B 58       D     X         2 84 65 Radio-emitting narrow-line Seyfert 1 galaxies in the JVLA perspective. BERTON M., CONGIU E., JARVELA E., et al.
2018MNRAS.480.2302S viz 16       D               1 304 13 Imaging extended emission-line regions of obscured AGN with the Subaru Hyper Suprime-Cam Survey. SUN A.-L., GREENE J.E., ZAKAMSKA N.L., et al.
2018A&A...619A..69J 617       S   X C       13 23 9 Near-infrared morphologies of the host galaxies of narrow-line Seyfert 1 galaxies. JARVELA E., LAHTEENMAKI A. and BERTON M.
2020MNRAS.496.1757D 43           X         1 15 ~ The radio-loud narrow-line Seyfert 1 galaxy 1H 0323+342 in a galaxy merger. DOI A., KINO M., KAWAKATU N., et al.
2021AJ....162..206S 17       D               1 77 21 Searching for changing-state AGNs in massive data sets. I. Applying deep learning and anomaly-detection techniques to find AGNs with anomalous variability behaviors. SANCHEZ-SAEZ P., LIRA H., MARTI L., et al.

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