Optimising cosmic shear surveys to measure modifications to gravity on cosmic scales
Donnacha Kirk, Istvan Laszlo, Sarah Bridle, Rachel Bean

TL;DR
This paper analyzes how upcoming large-scale structure surveys can be optimized to measure dark energy properties and modifications to gravity, considering systematic uncertainties like intrinsic alignments and photometric redshift errors.
Contribution
It introduces a comprehensive Fisher Matrix framework that incorporates realistic systematics to optimize survey design for dark energy and modified gravity constraints.
Findings
Intrinsic alignments reduce the benefit of larger survey areas.
Optimal survey area for a Stage IV survey is around 5,000-10,000 deg².
Including intrinsic alignments and galaxy positions significantly relaxes photometric redshift calibration requirements.
Abstract
We consider how upcoming photometric large scale structure surveys can be optimized to measure the properties of dark energy and possible cosmic scale modifications to General Relativity in light of realistic astrophysical and instrumental systematic uncertainities. In particular we include flexible descriptions of intrinsic alignments, galaxy bias and photometric redshift uncertainties in a Fisher Matrix analysis of shear, position and position-shear correlations, including complementary cosmological constraints from the CMB. We study the impact of survey tradeoffs in depth versus breadth, and redshift quality. We parameterise the results in terms of the Dark Energy Task Force figure of merit, and deviations from General Relativity through an analagous Modified Gravity figure of merit. We find that intrinsic alignments weaken the dependence of figure of merit on area and that, for a…
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