arXiv (All)
open access
Modelling kNN-CDFs of biased tracers in redshift space using hybrid Lagrangian bias expansion
Higher-order statistics are becoming increasingly useful in clustering studies of the large-scale structure (LSS) of the universe. The kNN-CDFs are one such higher-order statistic, sensitive to all N-point correlations and easy to compute on data. Utilising their statistical gains for cosmological i
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
- DESI 2024 II: sample definitions, characteristics, and two-point clustering statistics#983412
- Optimal cosmological cross-correlation analysis with U-Net-based processing#1423086
- Connecting the Dots: Prospects for Detecting Multi-Source Inflation through Scale-Dependent and Stochastic Bias of Little Red Dots#1130844
- Constraining Reionization with Persistent Homology: a Novel Summary Statistic for Wide-Field Lyman-$α$ Emitter Observations#1130934
- Possible detection of Baryon Acoustic Oscillations imprinted in the HI sources from the FASHI catalog#1387830
Record · ID 1448353
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