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Related papers: Spectroscopic QUasar Extractor and redshift (z) Es…

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Accurately characterizing the true redshift (true-$z$) distribution of a photometric redshift (photo-$z$) sample is critical for cosmological analyses in imaging surveys. Clustering-based techniques, which include clustering-redshift (CZ)…

Cosmology and Nongalactic Astrophysics · Physics 2024-12-18 Weilun Zheng , Kwan Chuen Chan , Haojie Xu , Le Zhang , Ruiyu Song

Aims. We analyse the relative performance of different photo-z codes in blind applications to ground-based data. Methods. We tested the codes on imaging datasets with different depths and filter coverages and compared the results to large…

Astrophysics · Physics 2009-11-13 H. Hildebrandt , C. Wolf , N. Benitez

Galaxy cross-correlations with high-fidelity redshift samples hold the potential to precisely calibrate systematic photometric redshift uncertainties arising from the unavailability of complete and representative training and validation…

We present simulations of quasar colors, magnitudes, and numbers at redshifts 5<z<10 based on our discovery of ten new high-redshift quasars and the cloning of lower redshift Sloan Digital Sky Survey (SDSS) quasars. The ten quasars have…

The FIRST Radio Survey provides a new resource for constructing a large quasar sample. With source positions accurate to better than 1\arcsec\ and a point source sensitivity limit of 1 mJy, it reaches 50 times deeper than previous radio…

We obtain a sample of 87 radio-loud QSOs in the redshift range 3.6<z<4.4 by cross-correlating sources in the FIRST radio survey S{1.4GHz} > 1 mJy with star-like objects having r <20.2 in SDSS Data Release 7. Of these 87 QSOs, 80 are…

Astrophysics of Galaxies · Physics 2015-06-23 D. Tuccillo , J. I. Gonzalez-Serrano , C. R. Benn

We present a computationally efficient galaxy archetype-based redshift estimation and spectral classification method for the Dark Energy Survey Instrument (DESI) survey. The DESI survey currently relies on a redshift fitter and spectral…

The Chinese Space Station Telescope (CSST) slitless spectroscopic survey will observe objects to a limiting magnitude of ~ 23 mag (5$\sigma$, point sources) in U, V, and I over 17500 deg$^2$. The spectroscopic observations are expected to…

Astrophysics of Galaxies · Physics 2024-01-29 Run Wen , Xian Zhong Zheng , Yunkun Han , Xiaohu Yang , Xin Wang , Hu Zou , Fengshan Liu , Xin Zhang , Ying Zu , Dong Dong Shi , Yizhou Gu , Yirong Wang

We present WISE All-Sky mid-infrared (IR) survey detections of 55% (17/31) of the known QSOs at z>6 from a range of surveys: the SDSS, the CFHT-LS, FIRST, Spitzer and UKIDSS. The WISE catalog thus provides a substantial increase in the…

Cosmology and Nongalactic Astrophysics · Physics 2015-06-17 Andrew Blain , Robert Assef , Daniel Stern , Chao-Wei Tsai , Peter Eisenhardt , Carrie Bridge , Dominic Benford , Tom Jarrett , Roc Cutri , Sara Petty , Jingwen Wu , Ned Wright

We present a simple, efficient and robust approach to improve cosmological redshift measurements. The method is based on the presence of a reference sample for which a precise redshift number distribution (dN/dz) can be obtained for…

Cosmology and Nongalactic Astrophysics · Physics 2017-09-13 Nicolas Tejos , Aldo Rodriguez-Puebla , Joel R. Primack

Quasar photometric redshifts are essential for studying cosmology and large-scale structures. However, their complex spectral energy distributions cause significant redshift-color degeneracy, limiting the accuracy of traditional methods. To…

Astrophysics of Galaxies · Physics 2025-12-19 Jianzhen Chen , Zhijian Luo , Liping Fu , Zhu Chen , Hubing Xiao , Shaohua Zhang , Chenggang Shu

Quasars with a high redshift (z) are important to understand the evolution processes of galaxies in the early universe. However only a few of these distant objects are known to this date. The costs of building and operating a 10-metre class…

Instrumentation and Methods for Astrophysics · Physics 2012-10-29 Kai Lars Polsterer , Peter-Christian Zinn , Fabian Gieseke

Accurate photo-z measurements are important to construct a large-scale structure map of X-ray Universe in the ongoing SRG/eROSITA All-Sky Survey. We present machine learning Random Forest-based models for probabilistic photo-z predictions…

Instrumentation and Methods for Astrophysics · Physics 2021-07-06 Viktor Borisov , Alex Meshcheryakov , Sergey Gerasimov , RU eROSITA catalog group

We introduce ANNz, a freely available software package for photometric redshift estimation using Artificial Neural Networks. ANNz learns the relation between photometry and redshift from an appropriate training set of galaxies for which the…

Astrophysics · Physics 2009-08-21 Adrian A. Collister , Ofer Lahav

We determine the number counts and z=0-5 luminosity function for a well-defined, homogeneous sample of quasars from the Sloan Digital Sky Survey (SDSS). We conservatively define the most uniform statistical sample possible, consisting of…

We present a new redshift survey, the 2dF Quasar Dark Energy Survey pilot (2QDESp), which consists of ${\approx}10000$ quasars from ${\approx}150$ deg$^2$ of the southern sky, based on VST-ATLAS imaging and 2dF/AAOmega spectroscopy.…

The China Space Station Telescope (CSST) is a forthcoming space-based optical telescope designed to co-orbit with the Chinese Space Station. With a planned slitless spectroscopic survey spanning a broad wavelength range of $255-1000$nm and…

Obtaining accurate photometric redshift estimations is an important aspect of cosmology, remaining a prerequisite of many analyses. In creating novel methods to produce redshift estimations, there has been a shift towards using machine…

Instrumentation and Methods for Astrophysics · Physics 2021-07-07 Ben Henghes , Connor Pettitt , Jeyan Thiyagalingam , Tony Hey , Ofer Lahav

We use numerical simulations to characterize the performance of a clustering-based method to calibrate photometric redshift biases. In particular, we cross-correlate the weak lensing (WL) source galaxies from the Dark Energy Survey Year 1…

Cosmology and Nongalactic Astrophysics · Physics 2018-03-14 M. Gatti , P. Vielzeuf , C. Davis , R. Cawthon , M. M. Rau , J. DeRose , J. De Vicente , A. Alarcon , E. Rozo , E. Gaztanaga , B. Hoyle , R. Miquel , G. M. Bernstein , C. Bonnett , A. Carnero Rosell , F. J. Castander , C. Chang , L. N. da Costa , D. Gruen , J. Gschwend , W. G. Hartley , H. Lin , N. MacCrann , M. A. G. Maia , R. L. C. Ogando , A. Roodman , I. Sevilla-Noarbe , M. A. Troxel , R. H. Wechsler , J. Asorey , T. M. Davis , K. Glazebrook , S. R. Hinton , G. Lewis , C. Lidman , E. Macaulay , A. Möller , C. R. O'Neill , N. E. Sommer , S. A. Uddin , F. Yuan , B. Zhang , T. M. C. Abbott , S. Allam , J. Annis , K. Bechtol , D. Brooks , D. L. Burke , D. Carollo , M. Carrasco Kind , J. Carretero , C. E. Cunha , C. B. D'Andrea , D. L. DePoy , S. Desai , T. F. Eifler , A. E. Evrard , B. Flaugher , P. Fosalba , J. Frieman , J. García-Bellido , D. W. Gerdes , D. A. Goldstein , R. A. Gruendl , G. Gutierrez , K. Honscheid , J. K. Hoormann , B. Jain , D. J. James , M. Jarvis , T. Jeltema , M. W. G. Johnson , M. D. Johnson , E. Krause , K. Kuehn , S. Kuhlmann , N. Kuropatkin , T. S. Li , M. Lima , J. L. Marshall , P. Melchior , F. Menanteau , R. C. Nichol , B. Nord , A. A. Plazas , K. Reil , E. S. Rykoff , M. Sako , E. Sanchez , V. Scarpine , M. Schubnell , E. Sheldon , M. Smith , R. C. Smith , M. Soares-Santos , F. Sobreira , E. Suchyta , M. E. C. Swanson , G. Tarle , D. Thomas , B. E. Tucker , D. L. Tucker , V. Vikram , A. R. Walker , J. Weller , W. Wester , R. C. Wolf