Probing Gravity at Large Scales with kSZ-Reconstructed Velocities and CMB Lensing
Raagini Patki, Nicholas Battaglia, Rachel Bean

TL;DR
This paper introduces a novel method combining kSZ effect and CMB lensing to measure the $E_G$ statistic, enabling robust tests of gravity theories on large scales with upcoming CMB and galaxy survey data.
Contribution
It develops a new $oxed{V}_G$ estimator using kSZ-reconstructed velocities and CMB lensing, improving large-scale gravity tests beyond traditional RSD methods.
Findings
Forecasts show high detection significance ($S/N ext{ up to } 55$) with ACT and SO data.
The method can distinguish GR from modified gravity models like $f(R)$ and Chameleon theories.
It provides a new approach for testing gravity at the largest observable scales.
Abstract
We present a new method for measuring the statistic that combines two CMB secondaries -- the kinematic Sunyaev-Zeldovich (kSZ) effect and CMB lensing -- for the first time to probe gravity on linear scales. The statistic is a discriminating tool for modified gravity theories, which leave imprints in lensing observables and peculiar velocities. Existing measurements rely on redshift space distortions (RSD) to infer the velocity field. Here, we employ kSZ velocity-reconstruction instead of RSD, a complementary technique that constrains the largest-scale modes better than the galaxy survey it uses. We construct a novel estimator that involves a ratio between cross-correlations of a galaxy sample with a CMB convergence map and that with a 3D kSZ-reconstructed velocity field. We forecast for current and upcoming CMB maps from the Atacama Cosmology Telescope…
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Taxonomy
TopicsCosmology and Gravitation Theories · Galaxies: Formation, Evolution, Phenomena · Computational Physics and Python Applications
