A framework to mitigate patchy reionization contamination on the primordial gravitational wave signal
Divesh Jain, Tirthankar Roy Choudhury, Suvodip Mukherjee, Sourabh Paul

TL;DR
This paper develops a self-consistent framework to assess and mitigate the contamination of primordial gravitational wave signals in CMB polarization data caused by patchy reionization, which can bias measurements of the tensor-to-scalar ratio r.
Contribution
It introduces a physically motivated model to quantify reionization patchiness effects and proposes a joint analysis approach to reduce bias in r measurements for future CMB experiments.
Findings
Neglecting reionization effects biases r towards higher values.
Combining kSZ, E-mode, and B-mode data constrains reionization patchiness.
Bias in r can reach up to 0.73 sigma for extreme models.
Abstract
One of the major goals of future cosmic microwave background (CMB) -mode polarization experiments is the detection of primordial gravitational waves through an unbiased measurement of the tensor-to-scalar ratio . Robust detection of this signal will require mitigating all possible contamination to the -mode polarization from astrophysical origins. One such extragalactic contamination arises from the patchiness in the electron density during the reionization epoch. Along with the signature on CMB polarization, the patchy reionization can source secondary anisotropies on the CMB temperature through the kinetic Sunyaev-Zeldovich (kSZ) effect. In order to study the impact of this foreground for the upcoming CMB missions, we present a self-consistent framework to compute the CMB anisotropies based on a physically motivated model of reionization. We show that the value of can…
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Taxonomy
TopicsCosmology and Gravitation Theories · Geophysics and Gravity Measurements · Radio Astronomy Observations and Technology
