TL;DR
This paper forecasts how high-redshift universe observations can significantly improve constraints on fundamental cosmological parameters using advanced Fisher matrix techniques and compares these with current survey capabilities.
Contribution
It introduces a Fisher matrix formalism based on Lagrangian perturbation theory for forecasting high-redshift survey constraints and provides a publicly available Python tool.
Findings
Forecasts improved constraints on cosmological parameters at high redshift.
Demonstrates the effectiveness of the Fisher matrix approach with Lagrangian perturbation theory.
Provides a comparison with current survey capabilities like DESI and Euclid.
Abstract
An observational program focused on the high redshift () Universe has the opportunity to dramatically improve over upcoming LSS and CMB surveys on measurements of both the standard cosmological model and its extensions. Using a Fisher matrix formalism that builds upon recent advances in Lagrangian perturbation theory, we forecast constraints for future spectroscopic and 21-cm surveys on the standard cosmological model, curvature, neutrino mass, relativistic species, primordial features, primordial non-Gaussianity, dynamical dark energy, and gravitational slip. We compare these constraints with those achievable by current or near-future surveys such as DESI and Euclid, all under the same forecasting formalism, and compare our formalism with traditional linear methods. Our Python code FishLSS used to calculate the Fisher information of the full shape power spectrum, CMB…
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