343 citations · 481 across the 7 of their papers we have counts for
7 papers
DESI DR2 Results IV: Alcock-Paczyński Measurements from the Lyman Alpha Forest and Cosmological Constraints
DESI Collaboration, A. G. Adame, J. Aguilar +152
We present Alcock-Paczyński (AP) measurements from the full shape of Lyman- (Ly) forest correlation functions measured from the second data release (DR2) of the Dark Energy S…
Measuring and unbiasing the BAO shift in the Lyman-Alpha forest with AbacusSummit
Boryana Hadzhiyska, Roger de Belsunce, Andrei Cuceu +4
The currently observing Dark Energy Spectroscopic Instrument (DESI) places sub-percent constraints on the Baryon Acoustic Oscillations (BAO) scaling parameters from the Lyman- (…
Data Release 1 of the Dark Energy Spectroscopic Instrument
DESI Collaboration, M. Abdul Karim, A. G. Adame +306
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 s…
DESI DR2 Results I: Baryon Acoustic Oscillations from the Lyman Alpha Forest
DESI Collaboration, M. Abdul-Karim, J. Aguilar +147
We present the Baryon Acoustic Oscillation (BAO) measurements with the Lyman-alpha (LyA) forest from the second data release (DR2) of the Dark Energy Spectroscopic Instrument (DESI…
The Early Data Release of the Dark Energy Spectroscopic Instrument
DESI Collaboration, A. G. Adame, J. Aguilar +266
The Dark Energy Spectroscopic Instrument (DESI) completed its five-month Survey Validation in May 2021. Spectra of stellar and extragalactic targets from Survey Validation constitu…
Validation of the Scientific Program for the Dark Energy Spectroscopic Instrument
DESI Collaboration, A. G. Adame, J. Aguilar +261
The Dark Energy Spectroscopic Instrument (DESI) was designed to conduct a survey covering 14,000 deg over five years to constrain the cosmic expansion history through precise m…
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…