QSO B1326-0516 , the SIMBAD biblio

QSO B1326-0516 , the SIMBAD biblio (55 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.18CEST06:44:13

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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
1992MNRAS.256p..65G 13 ~ The high surface density of bright ultraviolet-excess quasars. GOLDSCHMIDT P., MILLER L., LA FRANCA F., et al.
1993ApJS...87..451H viz 14       D               7278 328 A revised and updated catalog of quasi-stellar objects. HEWITT A. and BURBIDGE G.
1998A&A...330..108Y viz 848 132 Broad band energy distribution of ROSAT detected quasars. II. Radio-quiet objects. YUAN W., BRINKMANN W., SIEBERT J., et al.
2000A&A...358...77W viz 415 273 The Hamburg/ESO survey for bright QSOs. III. A large flux-limited sample of QSOs. WISOTZKI L., CHRISTLIEB N., BADE N., et al.
2000AN....321....1S viz 14       D               2100 219 The ROSAT Bright Survey: II. Catalogue of all high-galactic latitude RASS sources with PSPC countrate CR > 0.2/s. SCHWOPE A.D., HASINGER G., LEHMANN I., et al.
2001AJ....121.2843B viz 6250 77 Quasars in the 2MASS second incremental data release. BARKHOUSE W.A. and HALL P.B.
2002ApJS..141...23E viz 330 5 JHK' imaging photometry of Seyfert 1 active galactic nuclei and quasars. I. Multiaperture photometry. ENYA K., YOSHII Y., KOBAYASHI Y., et al.
2002ApJS..141...31E viz 213 10 JHK' imaging photometry of Seyfert 1 active galactic nuclei and quasars. II. Observation of long-term variability. ENYA K., YOSHII Y., KOBAYASHI Y., et al.
2003AJ....125..444A 33 18 The dusty environment of quasars: far-infrared properties of optical quasars. ANDREANI P., CRISTIANI S., GRAZIAN A., et al.
2003ApJS..146....1W viz 226 185 The Far ultraviolet Spectroscopic Explorer Survey of O VI absorption in and near the galaxy. WAKKER B.P., SAVAGE B.D., SEMBACH K.R., et al.
2003ApJS..146..125S viz 124 197 Distribution and kinematics of O VI in the galactic halo. SAVAGE B.D., SEMBACH K.R., WAKKER B.P., et al.
2004ApJ...615..135S 94 187 A composite extreme-ultraviolet QSO spectrum from FUSE. SCOTT J.E., KRISS G.A., BROTHERTON M., et al.
2006A&A...455..773V viz 108223 628 A catalogue of quasars and active nuclei: 12th edition. VERON-CETTY M.-P. and VERON P.
2007ApJ...664...53A viz 31831 13 Photometric selection of QSO candidates from GALEX sources. ATLEE D.W. and GOULD A.
2009ApJS..184..138H viz 15       D               2 20623 68 XID II: statistical cross-association of ROSAT bright source catalog X-ray sources with 2MASS point source catalog near-infrared sources. HAAKONSEN C.B. and RUTLEDGE R.E.
2009A&A...505..385A viz 15       D               1 99836 35 The large quasar reference frame (LQRF). An optical representation of the ICRS. ANDREI A.H., SOUCHAY J., ZACHARIAS N., et al.
2009MNRAS.399..683J viz 15       D               1 124643 796 The 6dF galaxy survey: final redshift release (DR3) and southern large-scale structures. JONES D.H., READ M.A., SAUNDERS W., et al.
2010MNRAS.401.1151M viz 15       D               1 3443 20 The RASS-6dFGS catalogue: a sample of X-ray selected AGN from the 6dF galaxy survey. MAHONY E.K., CROOM S.M., BOYLE B.J., et al.
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.
2010ApJ...725.2444K 15       D               1 21 10 The XMM-Newton X-ray spectra of the most X-ray luminous radio-quiet ROSAT bright Survey-QSOs: a reference sample for the interpretation of high-redshift QSO spectra. KRUMPE M., LAMER G., MARKOWITZ A., et al.
2011ApJS..193...28P viz 15       D               1 1497 30 Probing the IGM/Galaxy connection. IV. The LCO/WFCCD galaxy survey of 20 fields surrounding UV-bright quasars. PROCHASKA J.X., WEINER B., CHEN H.-W., et al.
2011ApJ...743..171A viz 53       D     X         2 977 589 The second catalog of active galactic nuclei detected by the Fermi large area telescope. ACKERMANN M., AJELLO M., ALLAFORT A., et al.
2012ApJ...751...52E viz 15       D               1 4327 67 Reliable identifications of active galactic nuclei from the WISE, 2MASS, and ROSAT all-sky surveys. EDELSON R. and MALKAN M.
2012ApJS..199...31N viz 15       D               1 2260 1282 Fermi Large Area Telescope second source catalog. NOLAN P.L., ABDO A.A., ACKERMANN M., et al.
2012MNRAS.424.2832L viz 15       D               1 1877 43 Application of the Gaussian mixture model in pulsar astronomy – pulsar classification and candidates ranking for the Fermi 2FGL catalogue. LEE K.J., GUILLEMOT L., YUE Y.L., et al.
2015ApJS..217....2M viz 16       D               2 2199 42 Refining the associations of the Fermi large area telescope source catalogs. MASSARO F., D'ABRUSCO R., LANDONI M., et al.
2015ApJS..218...23A viz 16       D               1 3140 1411 Fermi Large Area Telescope third source catalog. ACERO F., ACKERMANN M., AJELLO M., et al.
2015ApJ...810...14A viz 16       D               3 1890 513 The third catalog of active galactic nuclei detected by the Fermi large area telescope. ACKERMANN M., AJELLO M., ATWOOD W.B., et al.
2016ApJ...820....8S viz 16       D               1 3047 91 Classification and ranking of Fermi LAT gamma-ray sources from the 3FGL catalog using machine learning techniques. SAZ PARKINSON P.M., XU H., YU P.L.H., et al.
2016ApJS..224....2H viz 16       D               1 31769 226 The K2 ecliptic plane input catalog (EPIC) and stellar classifications of 138,600 targets in campaigns 1-8. HUBER D., BRYSON S.T., HAAS M.R., et al.
2016AJ....152...25M viz 16       D               1 1056 32 The UV-bright quasar survey (UVQS): DR1. MONROE T.R., PROCHASKA J.X., TEJOS N., et al.
2017A&A...602A..86L viz 16       D               1 1082 1 Research and characterisation of blazar candidates among the Fermi/LAT 3FGL catalogue using multivariate classifications. LEFAUCHEUR J. and PITA S.
2017MNRAS.470.1291S viz 16       D               1 563 2 3FGLzoo: classifying 3FGL unassociated Fermi-LAT γ-ray sources by artificial neural networks. SALVETTI D., CHIARO G., LA MURA G., et al.
2018ApJS..237...32A viz 16       D               1 2605 130 The search for spatial extension in high-latitude sources detected by the Fermi Large Area Telescope. ACKERMANN M., AJELLO M., BALDINI L., et al.
2019ApJ...877..151W 853     A D     X C       21 21 ~ Measuring the variability in K2 optical light curves of the binary black hole candidate OJ 287 and other Fermi active galactic nuclei in 2014-2015. WEHRLE A.E., CARINI M. and WIITA P.J.
2019ApJ...887..134K viz 16       D               1 1314 ~ Evaluating the classification of Fermi BCUs from the 4FGL catalog using machine learning. KANG S.-J., LI E., OU W., et al.
2020MNRAS.493.1926K viz 16       D               1 1330 ~ Classification of blazar candidates of uncertain type from the Fermi LAT 8-yr source catalogue with an artificial neural network. KOVACEVIC M., CHIARO G., CUTINI S., et al.
2020ApJS..247...33A viz 16       D               1 5175 880 Fermi Large Area Telescope fourth source catalog. ABDOLLAHI S., ACERO F., ACKERMANN M., et al.
2020ApJ...892..105A viz 16       D               1 3421 235 The fourth catalog of active galactic nuclei detected by the Fermi Large Area Telescope. AJELLO M., ANGIONI R., AXELSSON M., et al.
2020ApJ...903..134C 99       D       C       3 27 ~ Measuring the variability in K2 optical light curves of 3C 273 and other Fermi active galactic nuclei in 2015-2017. CARINI M., WEHRLE A.E., WIITA P.J., et al.
2020A&A...643A.103P viz 16       D               1 406 ~ Optical spectroscopic observations of low-energy counterparts of Fermi-LAT γ-ray sources. PENA-HERAZO H.A., AMAYA-ALMAZAN R.A., MASSARO F., et al.
2021ApJ...908..177K 17       D               1 109 ~ Classifying blazar candidates from the 3FGL unassociated catalog into BL Lacertae objects and flat spectrum radio quasars Using Swift and WISE data. KAUR A., FALCONE A.D. and STROH M.C.
2021AJ....161..154K viz 17       D               2 185 ~ X-ray spectra and multiwavelength machine learning classification for likely counterparts to Fermi 3FGL unassociated sources. KERBY S., KAUR A., FALCONE A.D., et al.
2021ApJS..253...46P viz 17       D               1 1078 38 The central engines of Fermi blazars. PALIYA V.S., DOMINGUEZ A., AJELLO M., et al.
2021MNRAS.505.5853G 17       D               2 5834 ~ Artificial Neural Network classification of 4FGL sources. GERMANI S., TOSTI G., LUBRANO P., et al.
2022ApJ...925...40X viz 17       D               1 668 12 The Relativistic Jet and Central Engine of Fermi Blazars. XIAO H., OUYANG Z., ZHANG L., et al.
2022A&A...660A..87B viz 17       D               2 6191 10 Machine learning methods for constructing probabilistic Fermi-LAT catalogs. BHAT A. and MALYSHEV D.
2022ApJS..260...53A viz 17       D               1 6710 133 Incremental Fermi Large Area Telescope Fourth Source Catalog. ABDOLLAHI S., ACERO F., BALDINI L., et al.
2022PASP..134h4102H viz 17       D               1 620 ~ Constraining the γ-Ray Emission Region for Fermi-detected FSRQs by the Seed Photon Approach. HUANG D., LI Z., LIAO J., et al.
2022ApJ...936..146X viz 17       D               2 661 2 An Extensive Study of Blazar Broad Emission Line: Changing-look Blazars and the Baldwin Effect. XIAO H., FAN J., OUYANG Z., et al.
2022ApJS..263...24A viz 17       D               1 3828 15 The Fourth Catalog of Active Galactic Nuclei Detected by the Fermi Large Area Telescope: Data Release 3. AJELLO M., BALDINI L., BALLET J., et al.
2023AJ....165..127G 17       D               4 39 ~ Optical Spectroscopic Observations of Gamma-Ray Blazar Candidates. XII. Follow-up Observations from SOAR, Blanco, NTT, and OAN-SPM. GARCIA-PEREZ A., PENA-HERAZO H.A., MASSARO F., et al.
2023ApJ...951...58W 1062       D     X C       24 37 ~ K2 Optical Emission from OJ 287 and Other γ-Ray Blazars on Hours-to-weeks Timescales from 2014 to 2018. WEHRLE A.E., CARINI M., WIITA P.J., et al.
2024ApJ...961..204S 18       D               2 104 ~ Variations of Interstellar Gas-to-dust Ratios at High Galactic Latitudes. SHULL J.M. and PANOPOULOU G.V.
2025PASP..137f4105D 19       D               1 290 ~ Improved Fermi Blazar Candidate Classifications with SRG/eROSITA X-Ray Counterparts Using Machine Learning. DING J. and RODRIGUEZ A.C.

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