The Atacama Cosmology Telescope: DR6 Gravitational Lensing and SDSS BOSS cross-correlation measurement and constraints on gravity with the $E_G$ statistic
Lukas Wenzl, Rui An, Nick Battaglia, Rachel Bean, Erminia Calabrese,, Shi-Fan Chen, Steve K. Choi, Omar Darwish, Jo Dunkley, Gerrit S. Farren,, Simone Ferraro, Yilun Guan, Ian Harrison, Joshua Kim, Thibaut Louis, Niall, MacCrann, Mathew S. Madhavacheril, Gabriela A. Marques

TL;DR
This paper measures the $E_G$ statistic using CMB lensing from ACT DR6 and SDSS BOSS galaxy data to test gravity models, finding results consistent with general relativity and demonstrating a robust analysis pipeline.
Contribution
The study introduces a new pipeline for measuring the $E_G$ statistic combining ACT DR6 CMB lensing with SDSS BOSS data, and applies it to test gravity theories.
Findings
$E_G$ measurements are consistent with $ m extbf{ extit{ extbf{Lambda}}}$CDM predictions.
The analysis confirms scale independence of $E_G$ as predicted by GR.
Systematic errors are estimated at 3-4\%.
Abstract
We derive new constraints on the statistic as a test of gravity, combining the CMB lensing map estimated from Data Release 6 (DR6) of the Atacama Cosmology Telescope with SDSS BOSS CMASS and LOWZ galaxy data. We develop an analysis pipeline to measure the cross-correlation between CMB lensing maps and galaxy data, following a blinding policy and testing the approach through null and consistency checks. By testing the equivalence of the spatial and temporal gravitational potentials, the statistic can distinguish CDM from alternative models of gravity. We find for ACT and CMASS data at 68.28\% confidence level, and for ACT and LOWZ. Systematic errors are estimated to be 3\% and 4\% respectively. Including CMB lensing information from Planck PR4 results in with CMASS and $E_G=…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
