REVIEW 3 cited by
Streaming velocities as a dynamical estimator of Omega
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
read the original abstract
It is well known that estimating the pairwise velocity of galaxies, v_{12}, from the redshift space galaxy correlation function is difficult because this method is highly sensitive to the assumed model of the pairwise velocity dispersion. Here we propose an alternative method to estimate v_{12} directly from peculiar velocity samples, which contain redshift-independent distances as well as galaxy redshifts. In contrast to other dynamical measures which determine beta = sigma_8 x Omega^{0.6}, our method can provide an estimate of (sigma_8)^2 x Omega^{0.6} for a range of sigma_8 (here Omega is the cosmological mass density parameter while sigma_8 is the standard normalization parameter for the spectrum of matter density fluctuations). We demonstrate how to measure this quantity from realistic catalogues.
Forward citations
Cited by 3 Pith papers
-
Interpreting the stacked kinetic SZ effect I: velocity reconstruction and non-linear velocity effects
Non-linear velocity terms cancel in real-space linear reconstruction, but redshift-space distortions reintroduce a 10–20% small-scale suppression of the stacked kSZ signal.
-
Anomaly detection with spiking neural networks for LHC physics
Claims spiking neural network autoencoders are competitive with conventional autoencoders for LHC anomaly detection across all signal models tested.
-
Impact of light sterile neutrinos on cosmological large scale structure
Sterile neutrinos suppress the matter power spectrum and halo mass and velocity functions while increasing halo pairwise infall velocities, with effects up to tens of percent for the most massive cases studied.
Discussion (0). Continue with ORCID to comment.