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The advent of massive broad-band photometric surveys enabled photometric redshift estimates for unprecedented numbers of galaxies and quasars. These estimates can be improved using better algorithms or by obtaining complementary data such…

We present a catalog of 100,563 unresolved, UV-excess (UVX) quasar candidates to g=21 from 2099 deg^2 of the Sloan Digital Sky Survey (SDSS) Data Release One (DR1) imaging data. Existing spectra of 22,737 sources reveals that 22,191 (97.6%)…

In our second paper on long-term quasar variability, we employ a much larger database of quasars than in de Vries, Becker & White. This expanded sample, containing 35165 quasars from the Sloan Digital Sky Survey Data Release 2, and 6413…

Astrophysics · Physics 2009-11-10 W. H. de Vries , R. H. Becker , R. L. White , C. Loomis

We present a new catalogue of ~2,400 optically selected quasars with spectroscopic redshifts and X-ray observations from either Chandra or XMM-Newton. The sample can be used to investigate the non-linear relation between the UV and X-ray…

We observed six strongly lensed, radio-loud quasars (MG 0414+0534, CLASS B0712+472, JVAS B1030+074, CLASS B1127+385, CLASS B1152+199, and JVAS B1938+666) in order to identify systems suitable for measuring cosmological parameters using time…

Cosmology and Nongalactic Astrophysics · Physics 2015-06-23 N. Rumbaugh , C. D. Fassnacht , J. P. McKean , L. V. E. Koopmans , M. W. Auger , S. H. Suyu

We conduct a systematic search for quasars with periodic variations from the archival photometric data of the Zwicky Transient Facility by cross-matching with the quasar catalogs of the Sloan Digital Sky Survey and V{\'e}ron-Cetty \&…

Astrophysics of Galaxies · Physics 2023-12-25 Yong-Jie Chen , Shuo Zhai , Jun-Rong Liu , Wei-Jian Guo , Yue-Chang Peng , Yan-Rong Li , Yu-Yang SongSheng , Pu Du , Chen Hu , Jian-Min Wang

We provide a quantitative description and statistical interpretation of the optical continuum variability of quasars. The Sloan Digital Sky Survey (SDSS) has obtained repeated imaging in five UV-to-IR photometric bands for 33,881…

Context. We present the light curves of six BL Lac objects, PKS 0537-441, PKS 0735+17, OJ 287, PKS 2005-489, PKS 2155-304, W Comae, and of the flat spectrum radio quasar PKS 1510-089, as a part of a photometric monitoring program in the…

High Energy Astrophysical Phenomena · Physics 2015-06-16 Angela Sandrinelli , Stefano Covino , Aldo Treves

We aim to select quasar candidates based on the two large survey databases, Pan-STARRS and AllWISE. Exploring the distribution of quasars and stars in the color spaces, we find that the combination of infrared and optical photometry is more…

Instrumentation and Methods for Astrophysics · Physics 2019-03-20 Xin Jin , Yanxia Zhang , Jingyi Zhang , Yongheng Zhao , Xue-bing Wu , Dongwei Fan

The identification and analysis of different variable sources is a hot issue in astrophysical research. The Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) spectroscopic survey has accumulated massive spectral data but…

Solar and Stellar Astrophysics · Physics 2022-03-02 Tingting Xu , Chao Liu , Feng Wang , Weirong Huang , Hui Deng , Ying Mei , Zhong Cao

We present preliminary results of the CIDA Equatorial Variability Survey (CEVS), looking for quasar (hereafter QSO) candidates near the Galactic plane. The CEVS contains photometric data from extended and adjacent regions of the Milky Way…

A key science goal of large sky surveys such as those conducted by the Vera C. Rubin Observatory and precursors to the Square Kilometre Array is the identification of variable and transient objects. One approach is the statistical analysis…

Quasar microlensing analyses implicitly generate a model of the variability of the source quasar. The implied source variability may be unrealistic yet its likelihood is generally not evaluated. We used the damped random walk (DRW) model…

Instrumentation and Methods for Astrophysics · Physics 2017-11-01 S. S. Tie , C. S. Kochanek

We present the results of a systematic search for quasars in the Catalina Real-time Transient Survey exhibiting both strong photometric and spectroscopic variability over a decadal baseline. We identify 73 sources with specific patterns of…

Context. Large, high-dimensional astronomical surveys require efficient data analysis. Automatic fitting of lightcurve variability and machine learning may assist in identification of sources including candidate quasars. Aims. We aim to…

Astrophysics of Galaxies · Physics 2023-04-21 S. H. Bruun , J. Hjorth , A. Agnello

The long-term variability of a sample of 149 optically selected QSOs in the field of the Selected Area 94 has been studied in the R-band. The relations between variability and luminosity and between variability and redshift have been…

Astrophysics · Physics 2007-05-23 S. Cristiani , S. Trentini , F. La Franca , P. Andreani

To go into the details about the variability of the double quasar SBS 0909+532, we designed a monitoring programme with the 2 m Liverpool Robotic Telescope in the r Sloan filter, spanning 1.5 years from 2005 January to 2006 June. The r-band…

In this paper we review the basic Poissonian formulation of quasar variability, using it as a mathematical tool to extract relevant parameters such as the energy, rate and lifetimes of the flares through the analysis of observed light…

Astrophysics · Physics 2019-08-17 R. Cid Fernandes , L. Sodre, , L. Vieira da Silva , jr

We report the first results of a study of variable point sources identified using multi-color time-series photometry from Sloan Digital Sky Survey (SDSS) Stripe 82 over a span of nearly 10 years (1998-2007). We construct a light-curve…

Solar and Stellar Astrophysics · Physics 2014-11-20 Waqas A. Bhatti , Michael W. Richmond , Holland C. Ford , Larry D. Petro

We present results from a monitoring program of 42 quasars from the Palomar Green sample. The objects were observed for 7 years at the Wise Observatory, as part of a long term effort to monitor AGN of various types. This is the most…

Astrophysics · Physics 2014-10-13 Uriel Giveon , Dan Maoz , Shai Kaspi , Hagai Netzer , Paul S. Smith
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