SDSS J022537.16-042132.9 , the SIMBAD biblio

SDSS J022537.16-042132.9 , the SIMBAD biblio (21 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.18CEST09:30:54


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Title First 3 Authors
2005A&A...439..413C viz 286 40 The XMM-LSS survey. The XMDS/VVDS 4σ catalogue. CHIAPPETTI L., TAJER M., TRINCHIERI G., et al.
2007A&A...467...73T viz 15       D   O           139 29 Obscured and unobscured AGN populations in a hard-X-ray selected sample of the XMDS survey. TAJER M., POLLETTA M., CHIAPPETTI L., et al.
2007ApJ...663...81P viz 16       D               148 703 Spectral energy distributions of hard X-ray selected active galactic nuclei in the XMM-Newton Medium Deep Survey. POLLETTA M., TAJER M., MARASCHI L., et al.
2009A&A...494..579N 15       D               2 51 6 A multi-wavelength survey of AGN in the XMM-LSS field. I. Quasar selection via the KX technique. NAKOS T., WILLIS J.P., ANDREON S., et al.
2010MNRAS.401..294S viz 15       D               1 471 28 Optical identification of XMM sources in the Canada-France-Hawaii telescope legacy survey. STALIN C.S., PETITJEAN P., SRIANAND R., et al.
2013MNRAS.428.1281J viz 15       D               1 209883 256 The VISTA Deep Extragalactic Observations (VIDEO) survey. JARVIS M.J., BONFIELD D.G., BRUCE V.A., et al.
2015MNRAS.448.2665W 16       D               1 79 27 Radio-quiet quasars in the VIDEO survey: evidence for AGN-powered radio emission at S1.4GHz<1mJy. WHITE S.V., JARVIS M.J., HAUSSLER B., et al.
2016MNRAS.457..110M viz 16       D               1 5299 75 A spectroscopic survey of X-ray-selected AGNs in the northern XMM-XXL field. MENZEL M.-L., MERLONI A., GEORGAKAKIS A., et al.
2016A&A...593A..55V viz 16       D               1 2283 44 Ensemble X-ray variability of active galactic nuclei. II. Excess variance and updated structure function. VAGNETTI F., MIDDEI R., ANTONUCCI M., et al.
2017A&A...597A..79P viz 16       D               1 302147 367 The Sloan Digital Sky Survey Quasar Catalog: Twelfth data release. PARIS I., PETITJEAN P., ROSS N.P., et al.
2017AJ....153..107T viz 16       D               1 1263 12 A study of quasar selection in the supernova fields of the Dark Energy Survey. TIE S.S., MARTINI P., MUDD D., et al.
2018ApJS..235...11C viz 16       D               2 190674 1 The associated absorption features in quasar spectra of the Sloan Digital Sky Survey. I. Mg II absorption doublets. CHEN Z.-F., HUANG W.-R., PANG T.-T., et al.
2018A&A...613A..51P viz 16       D               1 525784 350 The Sloan Digital Sky Survey Quasar Catalog: Fourteenth data release. PARIS I., PETITJEAN P., AUBOURG E., et al.
2018PASJ...70S..31O 16       D               1 79 9 Enhancement of galaxy overdensity around quasar pairs at z < 3.6 based on the Hyper Suprime-Cam Subaru Strategic Program Survey. ONOUE M., KASHIKAWA N., UCHIYAMA H., et al.
2020ApJS..249...17R viz 16       D               1 525797 112 Spectral properties of quasars from Sloan Digital Sky Survey data release 14: the catalog. RAKSHIT S., STALIN C.S. and KOTILAINEN J.
2020ApJS..250....8L viz 16       D               1 750061 219 The Sloan Digital Sky Survey quasar catalog: Sixteenth Data Release. LYKE B.W., HIGLEY A.N., McLANE J.N., et al.
2020A&A...642A.150L viz 16       D               1 2429 92 Quasars as standard candles. III. Validation of a new sample for cosmological studies. LUSSO E., RISALITI G., NARDINI E., et al.
2020MNRAS.499.6053L viz 16       D               1 793 ~ Individual optical variability of active galactic nuclei from the MEXSAS2 sample. LAURENTI M., VAGNETTI F., MIDDEI R., et al.
2021A&A...654A..93B viz 17       D               1 1214 21 Polar dust obscuration in broad-line active galaxies from the XMM-XXL field. BUAT V., MOUNTRICHAS G., YANG G., et al.
2022MNRAS.516.2736B viz 17       D               1 715 13 Dwarf AGNs from Optical Variability for the Origins of Seeds (DAVOS): insights from the dark energy survey deep fields. BURKE C.J., LIU X., SHEN Y., et al.
2023ApJS..265...46C viz 17       D               1 19631 ~ The Study of the Circumgalactic Medium with Quasar Pairs. CHEN Z.-F., QIN H.-C., CAI J.-T., et al.

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