Lensing reconstruction using line intensity maps
Simon Foreman - Arizona State University
Schmittfull, M. (2018). Prospects for CMB lensing-galaxy clustering cross-correlations and initial condition reconstruction. Perimeter Institute. https://pirsa.org/18040098
Schmittfull, Marcel. Prospects for CMB lensing-galaxy clustering cross-correlations and initial condition reconstruction. Perimeter Institute, Apr. 24, 2018, https://pirsa.org/18040098
@misc{ pirsa_PIRSA:18040098,
doi = {10.48660/18040098},
url = {https://pirsa.org/18040098},
author = {Schmittfull, Marcel},
keywords = {Cosmology},
language = {en},
title = {Prospects for CMB lensing-galaxy clustering cross-correlations and initial condition reconstruction},
publisher = {Perimeter Institute},
year = {2018},
month = {apr},
note = {PIRSA:18040098 see, \url{https://pirsa.org}}
}
The lensing convergence measurable with future CMB experiments will be highly correlated with the clustering of galaxies that will be observed by imaging surveys such as LSST. I will discuss prospects for using that cross-correlation signal to constrain local primordial non-Gaussianity, the amplitude of matter fluctuations as a function of redshift, halo bias, and possibly the sum of neutrino masses. A key limitation for such analyses and large-scale structure analyses in general is that the mapping from initial conditions to observables is nonlinear for wavenumbers k>0.1h/Mpc. This can destroy cosmological information or move it to non-Gaussian tails of the probability distribution that are difficult to measure. I will describe how we can use recently developed initial condition reconstruction methods to help us recover some of that information in the nonlinear regime.