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We present a supervised neural network approach to the determination of photometric redshifts. The method was tuned to match the characteristics of the Sloan Digital Sky Survey and it exploits the spectroscopic redshifts provided by this…

The redshifts of galaxies are a key attribute that is needed for nearly all extragalactic studies. Since spectroscopic redshifts require additional telescope and human resources, millions of galaxies are known without spectroscopic…

星系天体物理 · 物理学 2021-07-21 S. Schuldt , S. H. Suyu , R. Cañameras , S. Taubenberger , T. Meinhardt , L. Leal-Taixé , B. C. Hsieh

We present redshifts for 2753 low-redshift galaxies between $0.03 \lesssim z_{\rm spec}\lesssim0.5$ with 18 $\leq$ $r$ $\leq$ 22 obtained with Hectospec at the Multi-Mirror Telescope (MMT). The observations targeted the XMM-LSS, ELAIS-N1…

We present deep near-infrared JHK imaging of four 10'x10' fields. The observations were carried out as part of the Multiwavelength Survey by Yale-Chile (MUSYC) with ISPI on the CTIO 4m telescope. The typical point source limiting depths are…

We present a machine learning search for high-redshift ($5.0 < z < 6.5$) quasars using the combined photometric data from the DESI Imaging Legacy Surveys and the WISE survey. We explore the imputation of missing values for high-redshift…

星系天体物理 · 物理学 2024-09-05 Guangping Ye , Huanian Zhang , Qingwen Wu

We describe the algorithm used to select the Luminous Red Galaxy (LRG) sample for the extended Baryon Oscillation Spectroscopic Survey (eBOSS) of the Sloan Digital Sky Survey IV (SDSS-IV) using photometric data from both the SDSS and the…

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 Dark Energy Spectroscopic Instrument (DESI) has embarked on an ambitious five-year survey to explore the nature of dark energy with spectroscopy of 40 million galaxies and quasars. DESI will determine precise redshifts and employ the…

天体物理仪器与方法 · 物理学 2023-03-15 B. Abareshi , J. Aguilar , S. Ahlen , Shadab Alam , David M. Alexander , R. Alfarsy , L. Allen , C. Allende Prieto , O. Alves , J. Ameel , E. Armengaud , J. Asorey , Alejandro Aviles , S. Bailey , A. Balaguera-Antolínez , O. Ballester , C. Baltay , A. Bault , S. F. Beltran , B. Benavides , S. BenZvi , A. Berti , R. Besuner , Florian Beutler , D. Bianchi , C. Blake , P. Blanc , R. Blum , A. Bolton , S. Bose , D. Bramall , S. Brieden , A. Brodzeller , D. Brooks , C. Brownewell , E. Buckley-Geer , R. N. Cahn , Z. Cai , R. Canning , A. Carnero Rosell , P. Carton , R. Casas , F. J. Castander , J. L. Cervantes-Cota , S. Chabanier , E. Chaussidon , C. Chuang , C. Circosta , S. Cole , A. P. Cooper , L. da Costa , M. -C. Cousinou , A. Cuceu , T. M. Davis , K. Dawson , R. de la Cruz-Noriega , A. de la Macorra , A. de Mattia , J. Della Costa , P. Demmer , M. Derwent , A. Dey , B. Dey , G. Dhungana , Z. Ding , C. Dobson , P. Doel , J. Donald-McCann , J. Donaldson , K. Douglass , Y. Duan , P. Dunlop , J. Edelstein , S. Eftekharzadeh , D. J. Eisenstein , M. Enriquez-Vargas , S. Escoffier , M. Evatt , P. Fagrelius , X. Fan , K. Fanning , V. A. Fawcett , S. Ferraro , J. Ereza , B. Flaugher , A. Font-Ribera , J. E. Forero-Romero , C. S. Frenk , S. Fromenteau , B. T. Gänsicke , C. Garcia-Quintero , L. Garrison , E. Gaztañaga , F. Gerardi , H. Gil-Marín , S. Gontcho A Gontcho , Alma X. Gonzalez-Morales , G. Gonzalez-de-Rivera , V. Gonzalez-Perez , C. Gordon , O. Graur , D. Green , C. Grove , D. Gruen , G. Gutierrez , J. Guy , C. Hahn , S. Harris , D. Herrera , Hiram K. Herrera-Alcantar , K. Honscheid , C. Howlett , D. Huterer , V. Iršič , M. Ishak , P. Jelinsky , L. Jiang , J. Jimenez , Y. P. Jing , R. Joyce , E. Jullo , S. Juneau , N. G. Karaçaylı , M. Karamanis , A. Karcher , T. Karim , R. Kehoe , S. Kent , D. Kirkby , T. Kisner , F. Kitaura , S. E. Koposov , A. Kovács , A. Kremin , Alex Krolewski , B. L'Huillier , O. Lahav , A. Lambert , C. Lamman , Ting-Wen Lan , M. Landriau , S. Lane , D. Lang , J. U. Lange , J. Lasker , L. Le Guillou , A. Leauthaud , A. Le Van Suu , Michael E. Levi , T. S. Li , C. Magneville , M. Manera , Christopher J. Manser , B. Marshall , W. McCollam , P. McDonald , Aaron M. Meisner , J. Mena-Fernández M. Mezcua , T. Miller , R. Miquel , P. Montero-Camacho , J. Moon , J. Paul Martini , J. Meneses-Rizo , J. Moustakas , E. Mueller , Andrea Muñoz-Gutiérrez , Adam D. Myers , S. Nadathur , J. Najita , L. Napolitano , E. Neilsen , Jeffrey A. Newman , J. D. Nie , Y. Ning , G. Niz , P. Norberg , Hernán E. Noriega , T. O'Brien , A. Obuljen , N. Palanque-Delabrouille , A. Palmese , P. Zhiwei , D. Pappalardo , X. Peng , W. J. Percival , S. Perruchot , R. Pogge , C. Poppett , A. Porredon , F. Prada , J. Prochaska , R. Pucha , A. Pérez-Fernández , I. Pérez-Ráfols , D. Rabinowitz , A. Raichoor , S. Ramirez-Solano , César Ramírez-Pérez , C. Ravoux , K. Reil , M. Rezaie , A. Rocher , C. Rockosi , N. A. Roe , A. Roodman , A. J. Ross , G. Rossi , R. Ruggeri , V. Ruhlmann-Kleider , C. G. Sabiu , S. Safonova , K. Said , A. Saintonge , Javier Salas Catonga , L. Samushia , E. Sanchez , C. Saulder , E. Schaan , E. Schlafly , D. Schlegel , J. Schmoll , D. Scholte , M. Schubnell , A. Secroun , H. Seo , S. Serrano , Ray M. Sharples , Michael J. Sholl , Joseph Harry Silber , D. R. Silva , M. Sirk , M. Siudek , A. Smith , D. Sprayberry , R. Staten , B. Stupak , T. Tan , Gregory Tarlé , Suk Sien Tie , R. Tojeiro , L. A. Ureña-López , F. Valdes , O. Valenzuela , M. Valluri , M. Vargas-Magaña , L. Verde , M. Walther , B. Wang , M. S. Wang , B. A. Weaver , C. Weaverdyck , R. Wechsler , Michael J. Wilson , J. Yang , Y. Yu , S. Yuan , Christophe Yèche , H. Zhang , K. Zhang , Cheng Zhao , Rongpu Zhou , Zhimin Zhou , H. Zou , J. Zou , S. Zou , Y. Zu

We have conducted a search for new strong gravitational lensing systems in the Dark Energy Spectroscopic Instrument Legacy Imaging Surveys' Data Release 8. We use deep residual neural networks, building on previous work presented in Huang…

We conduct a detailed analysis of the photometric redshift requirements for the proposed Dark Energy Survey (DES) using two sets of mock galaxy simulations and an artificial neural network code - ANNz. In particular, we examine how optical…

天体物理学 · 物理学 2010-03-26 Manda Banerji , Filipe B. Abdalla , Ofer Lahav , Huan Lin

We present the SDSS-XDQSO quasar targeting catalog for efficient flux-based quasar target selection down to the faint limit of the Sloan Digital Sky Survey (SDSS) catalog, even at medium redshifts (2.5 <~ z <~ 3) where the stellar…

As a new generation of large-sky spectroscopic surveys comes online, the enormous data volume poses unprecedented challenges in classifying spectra. Modern unsupervised techniques have the power to group spectra based on their dominant…

天体物理仪器与方法 · 物理学 2024-10-30 Xander Byrne , Amy Bonsor , Laura K. Rogers , Christopher J. Manser

The Cosmology Redshift Survey of the 4-metre Multi-Object Spectroscopic Telescope (4MOST-CRS) will provide redshift measurements of galaxies and quasars over 5700{\degsq} in the southern hemisphere. As targets for the 4MOST-CRS, we present…

In a recent study, we developed a method to model the impact of photometric redshift uncertainty on the two-point correlation function (2PCF). In this method, we can obtain both the intrinsic clustering strength and the photometric redshift…

星系天体物理 · 物理学 2021-06-29 Zhaoyu Wang , Haojie Xu , Xiaohu Yang , Yipeng Jing , Kai Wang , Hong Guo , Fuyu Dong , Min He

Emission Line Galaxies (ELGs) are crucial for cosmological studies, particularly in understanding the large-scale structure of the Universe and the role of dark energy. ELGs form an essential component of the target catalogue for the Dark…

In the next decade, the LSST will become a major facility for the astronomical community. However accurately determining the redshifts of the observed galaxies without using spectroscopy is a major challenge. Reconstruction of the redshifts…

宇宙学与河外天体物理 · 物理学 2015-06-12 Alexia Gorecki , Alexandra Abate , Réza Ansari , Aurélien Barrau , Sylvain Baumont , Marc Moniez , Jean-Stéphane Ricol