From the 4 of 100 linked papers with an AI index.
2 citations · 2 across the 19 of their papers we have counts for
100 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…
Lyman- forest holography: 3D predictions from 1D measurements
J. Chaves-Montero, A. Font-Ribera, J. Aguilar +68
The paper introduces ForestFlow, an emulator that connects one‑dimensional Lyman‑α forest flux power spectrum measurements to three‑dimensional clustering predictions, enabling com…
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…
1000 cataclysmic variables identified from DESI spectroscopy
K. Inight, B. T. Gänsicke, A. Aungwerojwit +41
Most cataclysmic variables (CVs) are discovered when they have an outburst generating an inherent selection bias against CVs that rarely, or never, outburst. CVs discovered by virt…