Moment expansion of polarized dust SED: a new path towards capturing the CMB $B$-modes with $\textit{LiteBIRD}$

TL;DR

This paper introduces a moment expansion method for modeling polarized dust emission spectral energy distributions, improving the accuracy of CMB $B$-mode measurements with LiteBIRD by accounting for dust spectral variations.

Contribution

It presents a novel moment expansion formalism for dust SEDs, incorporating temperature and spectral index variations, to reduce biases in primordial $B$-mode detection.

Findings

Moment expansion in $eta$ reduces bias but is insufficient alone.

Including temperature variations in the SED expansion prevents analysis biases.

Unbiased measurement of $r$ achieved with an uncertainty of 8.8e-4.

Abstract

Characterizing the polarized dust emission from our Galaxy will be decisive for the quest for the Cosmic Microwave Background (CMB) primordial $B$-modes. The incomplete modelling of its potentially complex spectral properties could lead to biases in the CMB polarization analyses and to a spurious detection of the tensor-to-scalar ratio $r$. It is crucial for future surveys like the $LiteBIRD$ satellite, which aims at constraining the primordial signal leftover by Inflation with an accuracy on $r$ of the order 1e-3. Variations of the dust properties along and between lines of sight lead to distortions of the spectral energy distribution (SED) that can not be easily anticipated by standard component separation methods. This issue can be tackled with a moment expansion of the dust SED, an innovative parametrization method imposing minimal assumptions on the sky complexity. In this paper, we apply this formalism to the $B$-mode cross-angular power spectra computed from simulated $LiteBIRD$ polarization data at frequencies between 100 and 402 GHz, containing CMB, dust and instrumental noise. The spatial variation of the dust spectral parameters (spectral index $\beta$ and temperature $T$) in our simulations, lead to significant biases on $r$ if not properly taken into account. Performing the moment expansion in $\beta$, reduces the bias but do not lead to reliable enough estimates of $r$. We introduce for the first time the expansion of the cross-angular power spectra SED in $\beta$ and $T$, showing that, at the $LiteBIRD$ sensitivity, it is required to take into account the SED complexity due to temperature variations to prevent analysis biases on $r$. Thanks to this expansion and despite the existing correlations between some of the dust moments and the CMB signal, responsible for a rise of the error on $r$, we can measure an unbiased value of $r$ with an uncertainty of $\sigma(r)$=8.8e-4.