500 citations · 4.3k across the 170 of their papers we have counts for
20 papers · 1 filter
Target Selection and Sample Characterization for the DESI LOW-Z Secondary Target Program
Elise Darragh-Ford, John F. Wu, Yao-Yuan Mao +39
We introduce the DESI LOW-Z Secondary Target Survey, which combines the wide-area capabilities of the Dark Energy Spectroscopic Instrument (DESI) with an efficient, low-redshift ta…
DESI Survey Validation Spectra Reveal an Increasing Fraction of Recently Quenched Galaxies at
David J. Setton, Biprateep Dey, Gourav Khullar +24
We utilize bright Luminous Red Galaxies (LRGs) from the novel Dark Energy Spectroscopic Instrument Survey Validation spectroscopic sample, leveraging its deep ($\sim2.5…
The VST ATLAS Quasar Survey I: Catalogue
Alice Eltvedt, T. Shanks, N. Metcalfe +22
We present the VST ATLAS Quasar Survey, consisting of quasar (QSO) candidates with over deg. The catalogue is based on VST ATLASNEOWIS…
DESI Mock Challenge: Halo and galaxy catalogs with the bias assignment method
Andrés Balaguera-Antolínez, Francisco-Shu Kitaura, Shadab Alam +16
We present a novel approach to the construction of mock galaxy catalogues for large-scale structure analysis based on the distribution of dark matter halos obtained with effective…
The MegaMapper: A Stage-5 Spectroscopic Instrument Concept for the Study of Inflation and Dark Energy
David J. Schlegel, Juna A. Kollmeier, Greg Aldering +86
In this white paper, we present the MegaMapper concept. The MegaMapper is a proposed ground-based experiment to measure Inflation parameters and Dark Energy from galaxy redshifts a…
A Spectroscopic Road Map for Cosmic Frontier: DESI, DESI-II, Stage-5
David J. Schlegel, Simone Ferraro, Greg Aldering +62
In this white paper, we present an experimental road map for spectroscopic experiments beyond DESI. DESI will be a transformative cosmological survey in the 2020s, mapping 40 milli…
The Spectroscopic Data Processing Pipeline for the Dark Energy Spectroscopic Instrument
J. Guy, S. Bailey, A. Kremin +55
We describe the spectroscopic data processing pipeline of the Dark Energy Spectroscopic Instrument (DESI), which is conducting a redshift survey of about 40 million galaxies and qu…
Intrinsic Alignment as an RSD Contaminant in the DESI Survey
Claire Lamman, Daniel Eisenstein, Jessica Nicole Aguilar +17
We measure the tidal alignment of the major axes of Luminous Red Galaxies (LRGs) from the Legacy Imaging Survey and use it to infer the artificial redshift-space distortion signatu…
Target Selection and Validation of DESI Emission Line Galaxies
A. Raichoor, J. Moustakas, Jeffrey A. Newman +48
The Dark Energy Spectroscopic Instrument (DESI) will precisely constrain cosmic expansion and the growth of structure by collecting 40 million extra-galactic redshifts across…
Target Selection and Validation of DESI Quasars
Edmond Chaussidon, Christophe Yèche, Nathalie Palanque-Delabrouille +54
The Dark Energy Spectroscopic Instrument (DESI) survey will measure large-scale structures using quasars as direct tracers of dark matter in the redshift range 0.9<z<2.1 and using…
DESI Bright Galaxy Survey: Final Target Selection, Design, and Validation
ChangHoon Hahn, Michael J. Wilson, Omar Ruiz-Macias +57
Over the next five years, the Dark Energy Spectroscopic Instrument (DESI) will use 10 spectrographs with 5000 fibers on the 4m Mayall Telescope at Kitt Peak National Observatory to…
The Target-selection Pipeline for the Dark Energy Spectroscopic Instrument
Adam D. Myers, John Moustakas, Stephen Bailey +51
In 2021 May, the Dark Energy Spectroscopic Instrument (DESI) began a 5 yr survey of approximately 50 million total extragalactic and Galactic targets. The primary DESI dark-time ta…
The DESI Survey Validation: Results from Visual Inspection of the Quasar Survey Spectra
David M. Alexander, Tamara M. Davis, E. Chaussidon +69
A key component of the Dark Energy Spectroscopic Instrument (DESI) survey validation (SV) is a detailed visual inspection (VI) of the optical spectroscopic data to quantify key sur…
Overview of the DESI Milky Way Survey
Andrew P. Cooper, Sergey E. Koposov, Carlos Allende Prieto +62
We describe the Milky Way Survey (MWS) that will be undertaken with the Dark Energy Spectroscopic Instrument (DESI) on the Mayall 4m telescope at the Kitt Peak National Observatory…
The Robotic Multi-Object Focal Plane System of the Dark Energy Spectroscopic Instrument (DESI)
Joseph Harry Silber, Parker Fagrelius, Kevin Fanning +97
A system of 5,020 robotic fiber positioners was installed in 2019 on the Mayall Telescope, at Kitt Peak National Observatory. The robots automatically re-target their optical fiber…
The effect of quasar redshift errors on Lyman- forest correlation functions
Samantha Youles, Julian E. Bautista, Andreu Font-Ribera +30
Using synthetic Lyman- forests from the Dark Energy Spectroscopic Instrument (DESI) survey, we present a study of the impact of errors in the estimation of quasar redshift on th…
Constraining galaxy-halo connection with high-order statistics
Hanyu Zhang, Lado Samushia, David Brooks +13
We investigate using three-point statistics in constraining the galaxy-halo connection. We show that for some galaxy samples, the constraints on the halo occupation distribution pa…
The DESI PRObabilistic Value-Added Bright Galaxy Survey (PROVABGS) Mock Challenge
ChangHoon Hahn, K. J. Kwon, Rita Tojeiro +16
The PRObabilistic Value-Added Bright Galaxy Survey (PROVABGS) catalog will provide measurements of galaxy properties, such as stellar mass (), star formation rate (…
The DESI -body Simulation Project -- II. Suppressing sample variance with fast simulations
Zhejie Ding, Chia-Hsun Chuang, Yu Yu +19
Dark Energy Spectroscopic Instrument (DESI) will construct a large and precise three-dimensional map of our Universe. The survey effective volume reaches $\sim20\Gpchcube$. It is a…
Deep Learning of DESI Mock Spectra to Find Damped Lyα Systems
Ben Wang, Jiaqi Zou, Zheng Cai +14
We have updated and applied a convolutional neural network (CNN) machine learning model to discover and characterize damped Ly systems (DLAs) based on Dark Energy Spectroscopic…