Robust forecasts on fundamental physics from the foreground-obscured, gravitationally-lensed CMB polarization
Josquin Errard, Stephen M. Feeney, Hiranya V. Peiris, Andrew H. Jaffe
TL;DR
Foreground contamination and lensing from large-scale structure significantly impede detection of inflationary B modes in the CMB. The paper presents a self-consistent forecasting framework that combines parametric maximum-likelihood foreground removal, iterative and cross-correlation delensing (CMB×CMB, CMB×CIB, CMB×LSS), and Fisher-matrix cosmological forecasts across a wide array of pre- and post-2020 instruments, with an online interface. It demonstrates that complementary ground, balloon, and space data can substantially improve component separation, delensing, and cosmological constraints, e.g., post-2020 configurations achieving $ \\sigma(r) \\sim 1.3\\times 10^{-4}$ and tight probes of $M_\\nu$, $N_{\\rm eff}$, $\\Omega_{\\rm k}$, and $w$ while controlling foreground residuals to $r_{\\rm eff} \\lesssim 10^{-4}$ and delensing contextual performance. The results highlight the synergy between Stage-IV, space missions, and foreground monitors (Planck, C-BASS, QUIJOTE-CMB) and provide a publicly accessible tool for optimizing frequency coverage and cross-experiment collaboration. This framework thus enables robust forecasts for inflationary and late-time physics from foreground-obscured, gravitationally-lensed CMB polarization.
Abstract
[Abridged] Recent results from the BICEP, Keck Array and Planck Collaborations demonstrate that Galactic foregrounds are an unavoidable obstacle in the search for evidence of inflationary gravitational waves in the cosmic microwave background (CMB) polarization. Beyond the foregrounds, the effect of lensing by intervening large-scale structure further obscures all but the strongest inflationary signals permitted by current data. With a plethora of ongoing and upcoming experiments aiming to measure these signatures, careful and self-consistent consideration of experiments' foreground- and lensing-removal capabilities is critical in obtaining credible forecasts of their performance. We investigate the capabilities of instruments such as Advanced ACTPol, BICEP3 and Keck Array, CLASS, EBEX10K, PIPER, Simons Array, SPT-3G and SPIDER, and projects as COrE+, LiteBIRD-ext, PIXIE and Stage IV, to clean contamination due to polarized synchrotron and dust from raw multi-frequency data, and remove lensing from the resulting co-added CMB maps (either using iterative CMB-only techniques or through cross-correlation with external data). Incorporating these effects, we present forecasts for the constraining power of these experiments in terms of inflationary physics, the neutrino sector, and dark energy parameters. Made publicly available through an online interface, this tool enables the next generation of CMB experiments to foreground-proof their designs, optimize their frequency coverage to maximize scientific output, and determine where cross-experimental collaboration would be most beneficial. We find that analyzing data from ground, balloon and space instruments in complementary combinations can significantly improve component separation performance, delensing, and cosmological constraints over individual datasets.
