Measuring cosmic bulk flow with kinetic Sunyaev-Zel'dovich velocity reconstruction

TL;DR

This paper uses kinetic Sunyaev-Zel'dovich velocity reconstruction with galaxy and CMB data to measure cosmic bulk flow on Gpc scales, providing new constraints consistent with Lambda-CDM and addressing astrophysical degeneracies.

Contribution

It presents the first large-scale bulk flow constraints using kSZ velocity reconstruction over 2000 Mpc, extending measurements to Gpc scales and introducing a novel method to map optical depth bias.

Findings

Placed tight upper limits on bulk velocity at 200-2000 Mpc scales.

Results are consistent with Lambda-CDM predictions.

Strongly tensioned with the quasar number-count dipole if due to bulk flow.

Abstract

Cosmic bulk flow--the volume-averaged peculiar velocity of matter--serves as a fundamental test of the Cosmological Principle when probed on gigaparsec (Gpc) scales. Historically, however, measurements of cosmic bulk flow have been limited to $R\lesssim 100\ h^{-1}{\rm Mpc}$. We present an application of kinetic Sunyaev-Zel'dovich (kSZ) velocity reconstruction to constrain the bulk flow on cosmological scales, over a volume of effective radius $R\sim2000\ h^{-1} {\rm Mpc}$. We use the WISE$\times$SuperCOSMOS and unWISE galaxy catalogs, combined with CMB temperature maps from Planck to reconstruct large-scale velocities in six tomographic bins spanning $0.1\lesssim z \lesssim 1.5$. We place some of the tightest upper limits to date on bulk velocity at $200 \lesssim R\,[h^{-1}{\rm Mpc}]\lesssim 2000$, finding results fully consistent with the $\Lambda$CDM bulk flow expectation. Our unWISE constraints are in strong tension with the CatWISE quasar number-count dipole measurement if that dipole is due to a coherent bulk flow $\sim 370\ {\rm km\,s^{-1}}$ at $R\sim1000\ h^{-1}{\rm Mpc}$. We also derive constraints on the matter power spectrum at low-$k$ ($k\lesssim10^{-3}\, {\rm Mpc}^{-1}$) with low-$z$ ($z\sim 1$) galaxy samples. Alongside these cosmological constraints, we introduce a novel approach to map the optical depth bias--an inherent astrophysical degeneracy in kSZ velocity reconstruction--across different data combinations. Our work bridges the theoretical gap between bulk flow and kSZ-reconstructed velocities, and expands the horizon of bulk velocity measurements out to Gpc scales.