arXiv (All)
open access
ROBIN-PIP: Robust Bayesian Field-Level Inference with Physics-Informed Priors
Accurately extracting information from galaxy surveys, particularly at non-linear scales, requires increasingly complex and flexible forward models of the observed galaxy distribution. A key component is the galaxy bias relation, which connects the underlying matter distribution to observed galaxies
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Reconstructing the Projected Dark Matter Field across 0.1-100 Mpc Scales from the SDSS Survey#1013892
- A complete redshift sample of galaxies#304074
- Dark Matter-Baryon Separability Predicts the Dynamics of an Almost-Dark Galaxy#997657
- CMB constraints on dark matter-proton scattering: investigating prior-volume effects using profile likelihoods#1142652
- A COSMOLOGICAL HIGH-REDSHIFT OBSERVATIONAL SURVEY WITH ATLAST: redshift, BAO, dusty star-forming galaxies, and the Hubble tension in critical-propositional dialogue with the Theory of Objectivity#319516
Record · ID 1155609
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive