Bayesian estimation of our local motion from the Planck-2018 CMB temperature map
Sayan Saha, Shabbir Shaikh, Suvodip Mukherjee, Tarun Souradeep,, Benjamin D. Wandelt

TL;DR
This paper presents a Bayesian method to jointly estimate our local motion from the Planck-2018 CMB temperature map, confirming the canonical velocity with high significance and contrasting it with quasar catalog estimates.
Contribution
It introduces a Bayesian framework for simultaneous inference of the CMB power spectrum and the local motion, providing a robust statistical confirmation of the canonical velocity.
Findings
Detected local motion consistent with 369 km/s at over 4.5 sigma significance.
Bayes factor strongly supports the canonical velocity over higher estimates.
Results confirm the common origin of the CMB dipole and statistical anisotropy signals.
Abstract
The largest fluctuation in the CMB sky is the CMB dipole, which is believed to be caused by the motion of our observation frame with respect to the CMB rest frame. This motion accounts for the known motion of the Solar System barycentre with a best-fit amplitude of km/s, in the direction (, ) in galactic coordinates. Along with the CMB dipole signal, this motion also causes an inevitable signature of statistical anisotropy in the higher multipoles due to the modulation and aberration of the CMB temperature and polarization fields. This leads to a correlation between adjacent CMB multipoles causing a non-zero value of the off-diagonal terms in the covariance matrix which can be captured in terms of the dipolar spectra of the bipolar spherical harmonics (BipoSH). In our work, we jointly infer the CMB power spectrum and the BipoSH spectrum in a Bayesian…
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