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In this paper we present the first results of a deep spectroscopic survey of faint quasars in the Sloan Digital Sky Survey (SDSS) Southern Survey, a deep survey carried out by repeatedly imaging a 270 deg^2 area. Quasar candidates were…

We present the second edition of the Sloan Digital Sky Survey (SDSS) Quasar Catalog. The catalog consists of 16713 objects in the SDSS First Data Release (DR1) that have luminosities larger than M_i=-22 (H_0=70 km/s, Omega_M=0.3,…

We here report an identification of SDSSJ141324+530527.0 (SBS1411+533) at $z=0.456344$ as a new "changing-look" quasar with a "turn-on" spectral type transition from Type-1.9/2 to Type-1 within a rest frame time scale of 1-10 yr by a…

Astrophysics of Galaxies · Physics 2018-05-16 J. Wang , D. W. Xu , J. Y. Wei

Searches for optical transients are usually performed with a cadence of days to weeks, optimised for supernova discovery. The optical fast transient sky is still largely unexplored, with only a few surveys to date having placed meaningful…

This is the third paper in a series aimed at finding high-redshift quasars from five-color (u'g'r'i'z') imaging data taken along the Celestial Equator by the SDSS during its commissioning phase. In this paper, we first present the…

We present the discovery of eight quasars at z~6 identified in the Sloan Digital Sky Survey (SDSS) overlap regions. Individual SDSS imaging runs have some overlap with each other, leading to repeat observations over an area spanning >4000…

Astrophysics of Galaxies · Physics 2015-05-27 Linhua Jiang , Ian D. McGreer , Xiaohui Fan , Fuyan Bian , Zheng Cai , Benjamin Clement , Ran Wang , Zhou Fan

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%)…

We analyze a $\Delta V\sim-9$ magnitude flare on the newly identified M8 dwarf SDSS J022116.84+194020.4 (hereafter SDSSJ0221) detected as part of the All-Sky Automated Survey for Supernovae (ASAS-SN). Using infrared and optical spectra, we…

The ESA Herschel Spectral and Photometric Imaging Receiver (SPIRE) Fourier Transform Spectrometer (FTS) Spectral Feature Finder (FF) project is an automated spectral feature fitting routine developed within the SPIRE instrument team to…

Instrumentation and Methods for Astrophysics · Physics 2020-09-29 Chris S. Benson , N. Hladczuk , Locke D. Spencer , A. Robb , J. P. Scott , I. Valtchanov , R. Hopwood , David A. Naylor

Long-term \textit{Fermi}-LAT monitoring makes it possible to ask whether a blazar light curve shows signs of an upcoming flare before the flare becomes obvious in the $\gamma$-ray emission. We present a strictly causal machine-learning…

High Energy Astrophysical Phenomena · Physics 2026-05-11 Zahir Shah , Sikandar Akbar

We explore methods for the identification of stellar flare events in irregularly sampled data of ground-based time domain surveys. In particular, we describe a new technique for identifying flaring stars, which we have implemented in a…

Solar and Stellar Astrophysics · Physics 2019-09-04 Kellen D. Lawson , John P. Wisniewski , Eric C. Bellm , Adam F. Kowalski , David L. Shupe

We report the result of a faint quasar survey in a one square degree field. The aim is to test the Y-K/g-z and J-K/i-Y color selection criteria for quasars at faint magnitude, to obtain a complete sample of quasars based on deep optical and…

Astrophysics of Galaxies · Physics 2018-02-21 Jinyi Yang , Xue-Bing Wu , Dezi Liu , Xiaohui Fan , Qian Yang , Feige Wang , Ian D. McGreer , Zuhui Fan , Shuo Yuan , Huanyuan Shan

Due to their short timescale, stellar flares are a challenging target for the most modern synoptic sky surveys. The upcoming Vera C. Rubin Legacy Survey of Space and Time (LSST), a project designed to collect more data than any precursor…

We investigated the optical/ultraviolet (UV) color variations for a sample of 2169 quasars based on multi-epoch spectroscopy in the Sloan Digital Sky Survey (SDSS) data release seven (DR7) and data release nine (DR9). To correct the…

Astrophysics of Galaxies · Physics 2016-05-25 Hengxiao Guo , Minfeng Gu

Over the past years, thousands of stellar flares have been detected by harvesting data from large photometric surveys. These detections, however, do not account for potential sources of contamination such as background stars appearing in…

We present a well-designed sample of more than 1000 type 1 quasars at $3.5<z<5$ and derive UV quasar luminosity functions (QLFs) in this redshift range. These quasars were selected using the Sloan Digital Sky Survey (SDSS) imaging data in…

Astrophysics of Galaxies · Physics 2022-04-13 Zhiwei Pan , Linhua Jiang , Xiaohui Fan , Jin Wu , Jinyi Yang

We present a detailed characterization of the 849 broad-line quasars from the Sloan Digital Sky Survey Reverberation Mapping (SDSS-RM) project. Our quasar sample covers a redshift range of 0.1<z<4.5 and is flux-limited to i_PSF<21.7 without…

We present the results from a time domain study of absorption lines detected in quasar spectra with repeat observations from the Sloan Digital Sky Survey Data Release 7 (SDSS DR7). Beginning with over 4500 unique time separation baselines…

Cosmology and Nongalactic Astrophysics · Physics 2013-07-31 Troy L. Hacker , Robert J. Brunner , Britt F. Lundgren , Donald G. York

We develop an automated technique for detecting damped Lyman-$\alpha$ absorbers (DLAs) along spectroscopic lines of sight to quasi-stellar objects (QSOs or quasars). The detection of DLAs in large-scale spectroscopic surveys such as…

Cosmology and Nongalactic Astrophysics · Physics 2018-05-17 Roman Garnett , Shirley Ho , Simeon Bird , Jeff Schneider

We present a sample of 12 quasar candidates with highly variable soft X-ray emission from the 4th XMM-newton Serendipitous Source Catalog (4XMM-DR13) using random forest. We obtained optical to mid-IR photometric data for the 4XMM-DR13…

Astrophysics of Galaxies · Physics 2025-05-16 Heng Wang , Yanli Ai , Yanxia Zhang , Yuming Fu , Wenfeng Wen , Liming Dou , Xue-Bing Wu , Xiangru Li , Zhiying Huo