From the 3 of 88 linked papers with an AI index.
3 citations · 6 across the 14 of their papers we have counts for
88 papers
Lyman Break Galaxy selection and redshift measurement with supervised contrastive learning
J. Choppin de Janvry, C. Yèche, Arjun Dey +55
Some of the next steps for high-precision cosmology lie within the high-redshift, high-density universe. Spectroscopic survey experiments such as the Dark Energy Spectroscopic Inst…
CoLoRe-2LPT: Lyman- mock catalogues for the validation of DESI cosmological analyses
M. F. Ruiz-Herrera Bernal, S. Avila, A. Font-Ribera +90
The paper presents fast Lyman‑α forest mock catalogues generated with second‑order Lagrangian perturbation theory (2LPT) that accurately reproduce small‑scale clustering, BAO broad…
Validation of the DESI DR2 Ly forest full-shape analysis
M. Herbold, A. Cuceu, P. Martini +107
The paper validates the Dark Energy Spectroscopic Instrument (DESI) Data Release 2 analysis of the Lyman‑α forest, focusing on extracting the Alcock‑Paczynski (AP) measurement from…
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…
Probing the matter-dominated expansion with multi-redshift Lyman- BAO from DESI DR2
Hiram K. Herrera-Alcantar, Julien Guy, Alma X. Gonzalez-Morales +60
We present a multi-redshift Baryon Acoustic Oscillations (BAO) analysis of the DESI Data Release 2 (DR2) Lyman- (Ly) forest, splitting the forest auto-correlation and its c…
Alleviating prior dependencies for DESI DR1 clustering fits through reparameterization
Marco Bonici, Simone Paradiso, Glenn McGee +48
Bayesian analyses of the full-shape clustering of Dark Energy Spectroscopic Instrument (DESI) Data Release 1 (DR1) exhibit prior-volume projection effects, whereby weakly constrain…