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Testing CMB Anomalies in E-mode Polarization with Current and Future Data

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arxiv 2206.05920 v2 pith:6V6IP6SU submitted 2022-06-13 astro-ph.CO

Testing CMB Anomalies in E-mode Polarization with Current and Future Data

classification astro-ph.CO
keywords dataasymmetryanomaliese-modelargepoint-paritypowertemperature
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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abstract

In this paper, we explore the power of the cosmic microwave background (CMB) polarization (E-mode) data to corroborate four potential anomalies in CMB temperature data: the lack of large angular-scale correlations, the alignment of the quadrupole and octupole (Q-O), the point-parity asymmetry, and the hemispherical power asymmetry. We use CMB simulations with noise representative of three experiments -- the Planck satellite, the Cosmology Large Angular Scale Surveyor (CLASS), and the LiteBIRD satellite -- to test how current and future data constrain the anomalies. We find the correlation coefficients $\rho$ between temperature and E-mode estimators to be less than $0.1$, except for the point-parity asymmetry ($\rho=0.17$ for cosmic-variance-limited simulations), confirming that E-modes provide a check on the anomalies that is largely independent of temperature data. Compared to Planck component-separated CMB data (SMICA), the putative LiteBIRD survey would reduce errors on E-mode anomaly estimators by factors of $\sim 3$ for hemispherical power asymmetry and point-parity asymmetry, and by $\sim 26$ for lack of large-scale correlation. The improvement in Q-O alignment is not obvious due to large cosmic variance, but we found the ability to pin down the estimator value will be improved by a factor $\gtrsim100$. Improvements with CLASS are intermediate to these.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Forecasts of CMB $E$-mode anomalies for AliCPT-1

    astro-ph.CO 2026-04 conditional novelty 6.0

    A divide-and-conquer framework using QAOA and neural network surrogates accelerates constrained MCMC by factors of 7.6 to 20.3 over classical methods.

  2. Forecasts of CMB $E$-mode anomalies for AliCPT-1

    astro-ph.CO 2026-04 unverdicted novelty 4.0

    Forecasts indicate AliCPT combined with Simons Observatory can detect injected E-mode dipole modulation at 99% confidence, while AliCPT alone risks biases in alignment and parity tests due to limited sky coverage.