Cosmology at high redshift – a probe of fundamental physics. (arXiv:2106.09713v1 [astro-ph.CO])
<a href="http://arxiv.org/find/astro-ph/1/au:+Sailer_N/0/1/0/all/0/1">Noah Sailer</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Castorina_E/0/1/0/all/0/1">Emanuele Castorina</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Ferraro_S/0/1/0/all/0/1">Simone Ferraro</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+White_M/0/1/0/all/0/1">Martin White</a>
An observational program focused on the high redshift ($2<z<6$) 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 lensing, the
cross-correlation of CMB lensing with galaxies, and combinations thereof $-$ is
publicly available.
An observational program focused on the high redshift ($2<z<6$) 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 lensing, the
cross-correlation of CMB lensing with galaxies, and combinations thereof $-$ is
publicly available.
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