Pith. sign in

REVIEW 1 cited by

Velocity bias and the nonlinear perturbation theory of peaks

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 1907.13251 v3 pith:VDHKAZIW submitted 2019-07-30 astro-ph.CO

classification astro-ph.CO
keywords biaspeaksvelocitymodeltheorynonlinearperturbationbiasing
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
abstract

The biasing in the large-scale structure of the universe is a crucial problem in cosmological applications. The peaks model of biasing predicts a linear velocity bias of halos, which is not present in a simple model of local bias. We investigate the origin of the velocity bias in the peaks model from the viewpoint of the integrated perturbation theory, which is a nonlinear perturbation theory in the presence of general Lagrangian bias. The presence of the velocity bias in the peaks model is a consequence of the "flat constraint," ${\nabla}\delta = 0$; i.e., all the first spatial derivatives should vanish at the locations of peaks. We show that the velocity bias in the peaks model is systematically derived in the framework of the integrated perturbation theory, and then develop a formal theory to perturbatively trace the nonlinear evolution of biased objects with the flat constraint. A formula for the nonlinear velocity dispersion of peaks with the one-loop approximation is also derived.

Discussion (0). Sign in to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Scale-dependent bias and mode coupling in redshift-space clustering near the BAO scale

    astro-ph.CO 2025-06 conditional novelty 6.0 of 10

    A biased-tracer clustering model that adds scale-dependent density/velocity bias and mode coupling accurately describes BAO-scale redshift-space multipoles in simulations, and scale-dependent bias matters more than mo...

Pith tools