Accurate relativistic observables from post-processing light cone catalogues
Chi Tian, Matthew F. Carney, James B. Mertens, Glenn Starkman

TL;DR
This paper presents a new post-processing scheme, LC-Metric, that accurately constructs relativistic observables from light cone data, enabling precise modeling of nonlinear general relativistic effects in cosmology.
Contribution
The paper introduces LC-Metric, a novel approach to derive the spacetime metric from light cone data, improving the accuracy of relativistic cosmological observables.
Findings
High-precision metric determination from light cone data
Accurate modeling of lensing convergence signals
Order of magnitude improvement in ISW effect quantification
Abstract
We introduce and study a new scheme to construct relativistic observables from post-processing light cone data. This construction is based on a novel approach, LC-Metric, which takes general light cone or snapshot output generated by arbitrary N-body simulations or emulations and solves the linearized Einstein equations to determine the spacetime metric on the light cone. We find that this scheme is able to determine the metric to high precision, and subsequently generate accurate mock cosmological observations sensitive to effects such as post-Born lensing and nonlinear ISW contributions. By comparing to conventional methods in quantifying those general relativistic effects, we show that this scheme is able to accurately construct the lensing convergence signal. We also find the accuracy of this method in quantifying the ISW effects in the highly nonlinear regime outperforms…
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Taxonomy
TopicsClimate Change and Environmental Impact · Scientific Research and Discoveries · Modeling, Simulation, and Optimization
