Line-of-Sight Extrapolation Noise in Dust Polarization
Jason Poh, Scott Dodelson

TL;DR
This paper investigates how temperature variations along the line of sight cause frequency extrapolation errors in dust polarization measurements, which could impact future primordial B-mode detection efforts.
Contribution
It quantifies the line-of-sight extrapolation noise in dust polarization using Monte Carlo simulations, highlighting its potential significance for future low-noise CMB experiments.
Findings
Extrapolation noise is small compared to current uncertainties.
The effect could be significant for experiments targeting r < 0.0015.
Monte Carlo analysis effectively quantifies the impact of temperature variations.
Abstract
The B-modes of polarization at frequencies ranging from 50-1000 GHz are produced by Galactic dust, lensing of primordial E-modes in the cosmic microwave background (CMB) by intervening large scale structure, and possibly by primordial B-modes in the CMB imprinted by gravitational waves produced during inflation. The conventional method used to separate the dust component of the signal is to assume that the signal at high frequencies (e.g., 350 GHz) is due solely to dust and then extrapolate the signal down to lower frequency (e.g., 150 GHz) using the measured scaling of the polarized dust signal amplitude with frequency. For typical Galactic thermal dust temperatures of about 20K, these frequencies are not fully in the Rayleigh-Jeans limit. Therefore, deviations in the dust cloud temperatures from cloud to cloud will lead to different scaling factors for clouds of different…
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