Pith. sign in

REVIEW 2 cited by

Peculiar velocities in redshift space: formalism, N-body simulations and perturbation theory

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 1312.4214 v2 pith:7KLAKFRR submitted 2013-12-16 astro-ph.CO

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

Direct measurements of peculiar velocities of galaxies and clusters of galaxies can in principle provide explicit information on the three dimensional mass distribution, but this information is modulated by the fact that velocity field is sampled at galaxy positions, and is thus probing galaxy momentum. We derive expressions for the cross power spectrum between the density and momentum field and the auto spectrum of the momentum field in redshift space, by extending the distribution function method to these statistics. The resulting momentum cross and auto power spectra in redshift space are expressed as infinite sums over velocity moment correlators in real space, as is the case for the density power spectrum in redshift space. We compute each correlator using Eulerian perturbation theory (PT) and halo biasing model and compare the resulting redshift-space velocity statistics to those measured from N-body simulations for both dark matter and halos. We find that in redshift space linear theory predictions for the density-momentum cross power spectrum as well as for the momentum auto spectrum fail to predict the N-body results at very large scales. On the other hand, our nonlinear PT prediction for these velocity statistics, together with real-space power spectrum for dark matter from simulations, improves the accuracy for both dark matter and halos. We also present the same analysis in configuration space, computing the redshift-space pairwise mean infall velocities and velocity correlation function and compare to nonlinear PT.

Discussion (0). Sign in to comment.

Forward citations

Cited by 2 Pith papers

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

  1. Gravitational redshift from large-scale structure: nonlinearities, antisymmetries, and the dipole

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

    A wide-angle streaming model including gravitational redshift, lightcone and kinematic effects explains the dipole turnover at ~20 h^-1 Mpc as an advection-like shift driven by the density-weighted pairwise potential ...

  2. Anomaly detection with spiking neural networks for LHC physics

    hep-ph 2025-07 unverdicted novelty 4.0 of 10

    Claims spiking neural network autoencoders are competitive with conventional autoencoders for LHC anomaly detection across all signal models tested.

Pith tools