NERV: Neural-network Enhanced Reconstruction of the UniVerse with Application to Baryon Acoustic Oscillations in the BOSS DR12 Galaxy Sample

arXiv:2609.15943 · astro-ph.CO · Submitted 2026-09-14 · Read on arXiv

astro-ph.CO

Submitted: 2026-09-14

Updated: 2026-09-14

Code: https://github.com/cosmodesi/pyrecon

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Empirical Coverage — 5× in this paper · explained in 2 episodes
• Reconstruction Error — 3× in this paper · explained in 2 episodes
• Calibration — 2× in this paper · explained in 7 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Convolutional Neural Networks (CNNs) — 1× in this paper · explained in 2 episodes
• Degeneracy — 1× in this paper · explained in 3 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Hybrid Approach — 1× in this paper · explained in 4 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• N-body simulations — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes

Sources

• Field-Level Inference from Galaxies: BAO Reconstruction
• Evidence for evolving dark energy from DESI DR2 BAO and Pantheon$^+$, DES-Dovekie, and Union3

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