Measuring the Largest Angular Scale CMB B-mode Polarization with Galactic Foregrounds on a Cut Sky
Duncan J. Watts (1), David Larson (1), Tobias A. Marriage (1),, Maximilian H. Abitbol (1, 2), John W. Appel (1), Charles L. Bennett (1),, David T. Chuss (3, 4), Joseph R. Eimer (1), Thomas Essinger-Hileman (1),, Nathan J. Miller (4), Karwan Rostem (1, 4)

TL;DR
This study evaluates foreground cleaning methods for detecting primordial gravitational wave signals in CMB B-mode polarization at large angular scales, demonstrating improved upper limits on the tensor-to-scalar ratio r using simulated data from the CLASS experiment.
Contribution
It introduces a simulation-based analysis of foreground cleaning effectiveness for measuring the tensor-to-scalar ratio r at large scales with the CLASS survey, achieving tighter constraints.
Findings
95% C.L. upper limit of r<0.017 without primordial gravitational waves
Recovery of r=0.012 with uncertainties around ±0.006 to ±0.011
Improved upper limits to r<0.008 when including multipoles 30≤ℓ≤100
Abstract
We consider the effectiveness of foreground cleaning in the recovery of Cosmic Microwave Background (CMB) polarization sourced by gravitational waves for tensor-to-scalar ratios in the range . Using the planned survey area, frequency bands, and sensitivity of the Cosmology Large Angular Scale Surveyor (CLASS), we simulate maps of Stokes and parameters at 40, 90, 150, and 220 GHz, including realistic models of the CMB, diffuse Galactic thermal dust and synchrotron foregrounds, and Gaussian white noise. We use linear combinations (LCs) of the simulated multifrequency data to obtain maximum likelihood estimates of , the relative scalar amplitude , and LC coefficients. We find that for 10,000 simulations of a CLASS-like experiment using only measurements of the reionization peak (), there is a 95% C.L. upper limit of in the case of no primordial…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
