Toward testing gravity with LSST using EG

Abstract

EG is a summary statistic that combines cosmological observables to achieve a test of gravity that is relatively model-independent. Here, we consider the power of a measurement of EG using galaxy-galaxy lensing and galaxy clustering with sources from the Rubin Observatory's Legacy Survey of Space and Time (LSST), and lenses from the Dark Energy Spectroscopic Instrument (DESI). We first update the theoretical framework for the covariance of EG to accommodate this Stage IV scenario. We then demonstrate that EG offers in principle a model-agnostic test of gravity using only linear-scale information, with the caveat that a careful treatment of galaxy bias is required. We finally address the persistent issue of EG's theoretical dependence on the measured value of M0. We propose a framework that takes advantage of the posterior predictive test to consistently incorporate uncertainty on M0 in tests of gravity with EG, which should be of general use beyond the LSST+DESI scenario. Our forecasting study using this method shows that the prior information available for M0 is instrumental in determining the power of EG in the LSST+DESI context. For the full survey dataset, with priors on M0 from existing CMB data, we find that for some modified gravity scenarios considered, we are likely to be able to reject the GR null hypothesis.

0

Turn this paper into a full lesson

ArcXiv compiles a staged curriculum from this paper: 8-12 lessons across beginner → advanced, synthesised section guides, visuals, flashcards, a quiz, exercises, and on-demand deep dives per section. Grounded in the abstract, never invented.

Discussion (0)

Sign in to join the discussion.

Loading comments…