12 papers
DESI DR2 Results IV: Alcock-Paczyński Measurements from the Lyman Alpha Forest and Cosmological Constraints
DESI Collaboration, A. G. Adame, J. Aguilar +164
The DESI DR2 analysis measures the Alcock‑Paczynski effect using the full shape of Lyman‑α forest auto‑ and cross‑correlations, achieving 1% precision at redshift 2.33 and providin…
Peering down the barrel with DESI DR2: 10 000+ inflows at < 0.6 reveal how galaxies accrete cold gas
S. Weng, A. Saintonge, M. Pieri +39
Direct observational constraints on how galaxies acquire their gas remain remarkably limited, hindering our understanding of the baryon cycle. We present a search for down-the-barr…
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 2024 V: Full-Shape Galaxy Clustering from Galaxies and Quasars
A. G. Adame, J. Aguilar, S. Ahlen +195
We present the measurements and cosmological implications of the galaxy two-point clustering using over 4.7 million unique galaxy and quasar redshifts in the range divi…
DESI DR2 Results II: Measurements of Baryon Acoustic Oscillations and Cosmological Constraints
DESI Collaboration, M. Abdul-Karim, J. Aguilar +184
We present baryon acoustic oscillation (BAO) measurements from more than 14 million galaxies and quasars drawn from the Dark Energy Spectroscopic Instrument (DESI) Data Release 2 (…
Using Active Learning to Improve Quasar Identification for the DESI Spectra Processing Pipeline
Dylan Green, David Kirkby, J. Aguilar +51
The Dark Energy Spectroscopic Instrument (DESI) survey uses an automatic spectral classification pipeline to classify spectra. QuasarNET is a convolutional neural network used as p…