English
Related papers

Related papers: Archetype-Based Redshift Estimation for the Dark E…

200 papers

The Dark Energy Spectroscopic Instrument (DESI), a multiplexed fiber-fed spectrograph, is a Stage-IV ground-based dark energy experiment aiming to measure redshifts for 29 million Emission-Line Galaxies (ELG), 4 million Luminous Red…

Cosmology and Nongalactic Astrophysics · Physics 2017-04-12 Lucas Pinol , Robert N. Cahn , Nick Hand , Uros Seljak , Martin White

The Dark Energy Spectroscopic Instrument (DESI) is a massively multiplexed fiber-fed spectrograph that will make the next major advance in dark energy in the timeframe 2018-2022. On the Mayall telescope, DESI will obtain spectra and…

The Dark Energy Spectroscopic Instrument (DESI) survey will measure spectroscopic redshifts for millions of galaxies across roughly $14,000 \, \mathrm{deg}^2$ of the sky. Cross-correlating targets in the DESI survey with complementary…

The Dark Energy Survey (DES) will be unprecedented in its ability to probe exceptionally large cosmic volumes to relatively faint optical limits. Primarily designed for the study of comparatively low redshift (z<2) galaxies with the aim of…

A space-based galaxy redshift survey would have enormous power in constraining dark energy and testing general relativity, provided that its parameters are suitably optimized. We study viable space-based galaxy redshift surveys, exploring…

In 2021 May the Dark Energy Spectroscopic Instrument (DESI) collaboration began a 5-year spectroscopic redshift survey to produce a detailed map of the evolving three-dimensional structure of the universe between $z=0$ and $z\approx4$.…

Cosmology and Nongalactic Astrophysics · Physics 2026-03-06 DESI Collaboration , M. Abdul Karim , A. G. Adame , D. Aguado , J. Aguilar , S. Ahlen , S. Alam , G. Aldering , D. M. Alexander , R. Alfarsy , L. Allen , C. Allende Prieto , O. Alves , A. Anand , U. Andrade , E. Armengaud , S. Avila , A. Aviles , H. Awan , S. Bailey , A. Baleato Lizancos , O. Ballester , A. Bault , J. Bautista , R. Bean , J. Behera , S. BenZvi , L. Beraldo e Silva , J. R. Bermejo-Climent , F. Beutler , D. Bianchi , C. Blake , R. Blum , A. S. Bolton , M. Bonici , S. Brieden , A. Brodzeller , D. Brooks , E. Buckley-Geer , E. Burtin , A. Byström , R. Canning , A. Carnero Rosell , A. Carr , P. Carrilho , L. Casas , F. J. Castander , R. Cereskaite , J. L. Cervantes-Cota , E. Chaussidon , J. Chaves-Montero , S. Chen , X. Chen , C. Circosta , T. Claybaugh , S. Cole , A. P. Cooper , M. -C. Cousinou , A. Cuceu , T. M. Davis , K. S. Dawson , R. de Belsunce , R. de la Cruz , A. de la Macorra , A. de Mattia , N. Deiosso , J. Della Costa , R. Demina , U. Demirbozan , J. DeRose , A. Dey , B. Dey , J. Ding , Z. Ding , P. Doel , K. Douglass , M. Dowicz , H. Ebina , J. Edelstein , D. J. Eisenstein , W. Elbers , N. Emas , S. Escoffier , P. Fagrelius , X. Fan , K. Fanning , G. Favole , V. A. Fawcett , E. Fernández-García , S. Ferraro , N. Findlay , A. Font-Ribera , J. E. Forero-Romero , D. Forero-Sánchez , C. S. Frenk , B. T. Gänsicke , L. Galbany , J. García-Bellido , C. Garcia-Quintero , L. H. Garrison , E. Gaztañaga , H. Gil-Marín , A. Gloudemans , O. Y. Gnedin , S. Gontcho A Gontcho , D. Gonzalez , A. X. Gonzalez-Morales , V. Gonzalez-Perez , C. Gordon , O. Graur , D. Green , D. Gruen , R. Gsponer , C. Guandalin , G. Gutierrez , J. Guy , C. Hahn , J. J. Han , J. Han , S. He , H. K. Herrera-Alcantar , S. Heydenreich , K. Honscheid , J. Hou , C. Howlett , D. Huterer , V. Iršič , M. Ishak , A. Jacques , L. Jiang , J. Jimenez , Y. P. Jing , B. Joachimi , S. Joudaki , R. Joyce , E. Jullo , S. Juneau , N. G. Karaçaylı , T. Karim , R. Kehoe , S. Kent , A. Khederlarian , D. Kirkby , T. Kisner , F. -S. Kitaura , N. Kizhuprakkat , H. Kong , S. E. Koposov , A. Kremin , A. Krolewski , O. Lahav , Y. Lai , C. Lamman , T. -W. Lan , M. Landriau , D. Lang , J. U. Lange , J. Lasker , J. M. Le Goff , L. Le Guillou , A. Leauthaud , M. E. Levi , S. Li , T. S. Li , W. Liu , K. Lodha , M. Lokken , Y. Luo , Y. Luo , C. Magneville , M. Manera , C. J. Manser , D. Margala , P. Martini , M. Maus , J. McCullough , P. McDonald , G. E. Medina , L. Medina-Varela , A. Meisner , J. Mena-Fernández , A. Menegas , J. Meneses-Rizo , M. Mezcua , R. Miquel , P. Montero-Camacho , J. Moon , J. Moustakas , A. Muñoz-Gutiérrez , D. Muñoz-Santos , A. D. Myers , J. Myles , S. Nadathur , J. Najita , L. Napolitano , J. A. Newman , F. Nikakhtar , R. Nikutta , G. Niz , H. E. Noriega , P. Nugent , N. Padmanabhan , E. Paillas , N. Palanque-Delabrouille , A. Palmese , J. Pan , Z. Pan , D. Parkinson , J. A. Peacock , M. P. Ibanez , W. J. Percival , A. Pérez-Fernández , I. Pérez-Ràfols , P. Peterson , J. Piat , M. M. Pieri , M. Pinon , C. Poppett , A. Porredon , F. Prada , R. Pucha , F. Qin , D. Rabinowitz , A. Raichoor , C. Ramírez-Pérez , S. Ramirez-Solano , M. Rashkovetskyi , C. Ravoux , B. Ried Guachalla , A. H. Riley , A. Rocher , C. Rockosi , J. Rohlf , A. J. Rosado-Marín , A. J. Ross , C. Ross , G. Rossi , R. Ruggeri , V. Ruhlmann-Kleider , C. G. Sabiu , K. Said , N. Sailer , A. Saintonge , Y. Salcedo Hernandez , L. Samushia , E. Sanchez , N. Sanders , N. Sandford , S. Satyavolu , C. Saulder , A. K. Saydjari , E. F. Schlafly , D. Schlegel , D. Scholte , M. Schubnell , A. Semenaite , H. Seo , A. Shafieloo , R. Sharples , J. Silber , F. Sinigaglia , M. Siudek , Z. Slepian , A. Smith , M. Soumagnac , D. Sprayberry , J. Suárez-Pérez , J. Swanson , T. Tan , G. Tarlé , P. Taylor , G. Thomas , R. Tojeiro , R. J. Turner , W. Turner , L. A. Ureña-López , R. Vaisakh , M. Valluri , G. Valogiannis , M. Vargas-Magaña , L. Verde , P. Vielzeuf , M. Walther , B. Wang , M. S. Wang , W. Wang , B. A. Weaver , N. Weaverdyck , R. H. Wechsler , D. H. Weinberg , M. White , A. Whitford , M. Wolfson , J. Yang , C. Yèche , S. Youles , J. Yu , S. Yuan , E. A. Zaborowski , P. Zarrouk , H. Zhang , C. Zhao , R. Zhao , Z. Zheng , C. Zhou , R. Zhou , Y. Zhou , H. Zou , S. Zou , Y. Zu

The accurate estimation of photometric redshifts plays a crucial role in accomplishing science objectives of the large survey projects. The template-fitting and machine learning are the two main types of methods applied currently. Based on…

We measure the redshift evolution of galaxy bias for a magnitude-limited galaxy sample by combining the galaxy density maps and weak lensing shear maps for a $\sim$116 deg$^{2}$ area of the Dark Energy Survey (DES) Science Verification…

Large direct-imaging surveys usually use a template-fitting technique to estimate photometric redshifts for galaxies, which are then applied to derive important galaxy properties such as luminosities and stellar masses. These estimates can…

Astrophysics of Galaxies · Physics 2015-06-22 B. C. Hsieh , H. K. C. Yee

We explore the science prospects of a 14,000 deg$^2$ Kinematic Lensing (KL) survey with the Dark Energy Spectroscopic Instrument (DESI) and overlapping imaging surveys. KL infers the cosmic shear signal by jointly forward modeling the…

Cosmology and Nongalactic Astrophysics · Physics 2024-07-31 Jiachuan Xu , Tim Eifler , Eason Wang , Elisabeth Krause , Spencer Everett , Eric Huff , Pranjal R. S. , Yu-Hsiu Huang

Accurate redshift estimates are a critical requirement for weak lensing surveys and one of the main uncertainties in constraints on dark energy and large-scale cosmic structure. In this paper, we study the potential to calibrate photometric…

Accurate redshift measurements are essential for studying the evolution of quasi-stellar objects (QSOs) and their role in cosmic structure formation. While spectroscopic redshifts provide high precision, they are impractical for the vast…

Astrophysics of Galaxies · Physics 2025-07-08 Jeremy P. Moss , Stephen J. Curran , Yvette C. Perrott