Large-Scale Galaxy Bias
Vincent Desjacques, Donghui Jeong, Fabian Schmidt

TL;DR
This review comprehensively discusses the theoretical framework of galaxy bias on large scales, including derivations, physical interpretations, and extensions to various cosmological scenarios, linking theory to observations.
Contribution
It provides a detailed derivation of the perturbative bias expansion, expands local bias to include tidal fields, and connects bias parameters with galaxy statistics and cosmological physics.
Findings
Derivation of the bias expansion under General Relativity and Gaussian initial conditions.
Connection between bias parameters and galaxy clustering statistics.
Extensions of galaxy bias modeling to include non-Gaussianity, neutrinos, and modified gravity.
Abstract
This review presents a comprehensive overview of galaxy bias, that is, the statistical relation between the distribution of galaxies and matter. We focus on large scales where cosmic density fields are quasi-linear. On these scales, the clustering of galaxies can be described by a perturbative bias expansion, and the complicated physics of galaxy formation is absorbed by a finite set of coefficients of the expansion, called bias parameters. The review begins with a detailed derivation of this very important result, which forms the basis of the rigorous perturbative description of galaxy clustering, under the assumptions of General Relativity and Gaussian, adiabatic initial conditions. Key components of the bias expansion are all leading local gravitational observables, which include the matter density but also tidal fields and their time derivatives. We hence expand the definition of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
