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Related papers: Classifying Radio-Loud and Radio-Quiet Quasars Wit…

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Quasars are objects of high interest in extragalactic astrophysics, cosmology, and astrometry. One of their useful qualities is their potential radio loudness. However, the fraction of radio-loud vs. radio-quiet quasars is subject to…

Astrophysics of Galaxies · Physics 2025-08-26 Nestor Arsenov , Sandor Frey , András Kovács , Lyuba Slavcheva-Mihova

We use new 144 MHz observations over 5634 deg$^2$ from the LOFAR Two-metre Sky Survey (LoTSS) to compile the largest sample of uniformly-selected, spectroscopically-confirmed quasars from the 14th data release of the Sloan Digital Sky…

Aims. Construction of a new quasar candidate catalog from the Red-Sequence Cluster Survey 2 (RCS-2), identified solely from photometric information using an automated algorithm suitable for large surveys. The algorithm performance is tested…

We present analysis of a homogeneous, optically selected, volume-limited ($0.2<z<0.3$) sample of 128 radio-quiet quasi-stellar objects (QSOs) recently observed at 6 GHz with the Very Large Array (VLA) in A-configuration ($\sim0.33''$…

Astrophysics of Galaxies · Physics 2022-09-14 Trevor V McCaffrey , Amy E Kimball , Emmanuel Momjian , Gordon T Richards

We have used the VLA FIRST survey and the APM catalog of the POSS-I plates as the basis for constructing a new radio-selected sample of optically bright quasars. This is the first radio-selected sample that is competitive in size with…

Surveys have shown radio-loud (RL) quasars constitute 10%-15% of the total quasar population and rest are radio-quiet (RQ). However, it is unknown if this radio-loud fraction (RLF) remains consistent among different parameter spaces. This…

Astrophysics of Galaxies · Physics 2021-02-03 Avinanda Chakraborty , Anirban Bhattacharjee

Context: Given the current big data era in Astronomy, machine learning based methods have being applied over the last years to identify or classify objects like quasars, galaxies and stars from full sky photometric surveys. Aims: Here we…

We present the results of Chandra ACIS-S snapshot observations of six radio-loud quasars (RLQs) at z=3.5-4.7. These observations sample luminous RLQs with moderate-to-high radio-loudness (R=200-9600) and aim to connect the X-ray properties…

Astrophysics · Physics 2008-11-26 L. A. Lopez , W. N. Brandt , C. Vignali , D. P. Schneider , G. Chartas , G. P. Garmire

We develop and demonstrate a probabilistic method for classifying rare objects in surveys with the particular goal of building very pure samples. It works by modifying the output probabilities from a classifier so as to accommodate our…

Astrophysics · Physics 2012-08-30 C. A. L. Bailer-Jones , K. W. Smith , C. Tiede , R. Sordo , A. Vallenari

We investigate the variety in quasar UV spectra (1020-1600A) with emphasis on the weak emission lines in the Ly alpha forest region using principal component analysis (PCA). This paper is a continuation of Suzuki et al. (2005, Paper I), but…

Astrophysics · Physics 2007-05-23 Nao Suzuki

Results are presented on the X-ray properties of 9 high-redshift (1.2 < z < 3.4) radio-loud quasars (RLQs) observed by ASCA (10 observations) and ROSAT (11 observations, for a subset of 6 quasars). New ASCA observations of S5 0014+81 (z =…

Astrophysics · Physics 2016-08-30 M. Cappi , M. Matsuoka , A. Comastri , W. Brinkmann , M. Elvis , G. G. C. Palumbo , C. Vignali

We have performed quasi-simultaneous radio flux density measurements at 2.7 and 10 GHz for all PG quasars with radio flux densities between 4-200 mJy. We find that a large fraction of these sources are variable, flat-spectrum quasars. This…

Astrophysics · Physics 2009-10-28 Heino Falcke , William Sherwood , Alok Patnaik

Class imbalance, where certain classes have insufficient data, poses a critical challenge for robust classification, often biasing models toward majority classes. Distribution calibration offers a promising avenue to address this by…

Machine Learning · Computer Science 2025-10-23 Priyobrata Mondal , Faizanuddin Ansari , Swagatam Das

We investigate the clustering properties of 45441 radio-quiet quasars (RQQs) and 3493 radio-loud quasars (RLQs) drawn from a joint use of the Sloan Digital Sky Survey (SDSS) and Faint Images of the Radio Sky at 20 cm (FIRST) surveys in the…

Astrophysics of Galaxies · Physics 2017-04-12 E. Retana-Montenegro , H. J. A. Röttgering

An important task in the study of fast radio bursts (FRBs) remains the automatic classification of repeating and non-repeating sources based on their morphological properties. We propose a statistical model that considers a modified…

We performed a study of high redshift ($z>2$) quasars, looking for the main differences between Radio Loud Quasars (RLQ) and Radio Quiet Quasars (RQQ) in the X-ray band. Our sample of 472 RQQ and 81 RLQ was selected by cross-matching the…

High Energy Astrophysical Phenomena · Physics 2023-01-10 F. Shaban , A. Siemiginowska , R. M. Suleiman , M. El-Nawawy , A. Ali

We present a detailed analysis of a sample of radio-detected quasars, obtained by matching together objects from the FIRST and 2dF Quasar Redshift Surveys. The dataset consists of 113 sources, spanning a redshift range 0.3 < z < 2.2, with…

Astrophysics · Physics 2009-11-07 M. Cirasuolo , M. Magliocchetti , A. Celotti , L. Danese

The results from an X-ray spectral analysis of a large sample of quasars, observed with ASCA, are presented. Data reduction leaves 62 quasars, 35 radio-loud and 27 radio-quiet, suitable for spectral analysis. Differences are found between…

Astrophysics · Physics 2009-10-31 James Reeves , Martin Turner

(Abridged) We present a systematic study of the X-ray and multiwavelength properties of a sample of 17 highly radio-loud quasars (HRLQs) at z > 4 with sensitive X-ray coverage from new Chandra and archival Chandra, XMM-Newton, and Swift…

Cosmology and Nongalactic Astrophysics · Physics 2015-03-31 Jianfeng Wu , W. N. Brandt , Brendan P. Miller , Gordon P. Garmire , Donald P. Schneider , Cristian Vignali

We describe the selection of candidate radio-loud quasars obtained by cross-matching radio source positions from the low-frequency (151 MHz) 7C survey with optical positions from five pairs of EO POSS-I plates scanned with the Cambridge…

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