Parity in Planck full-mission CMB temperature maps

Panda, Srikanta; Aluri, Pavan K.; Samal, Pramoda Kumar; Rath, Pranati K.

doi:10.1016/j.astropartphys.2020.102493

Cited by 6 publications

(6 citation statements)

References 21 publications

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“…Equipped with a different estimator, Kim & Naselsky (2010) found the significance level was higher when they applied it to WMAP 7-yr temperature anisotropy data. More work has been done to better understand this anomaly since then (e.g., Kim et al 2012;Cheng et al 2016;Aluri et al 2017;Panda et al 2021). The corresponding result in Planck Collaboration VII (2020) based on the Planck 2018 data (significance above 3σ for temperature) also indicates that this anomaly deserves investigation.…”

Section: Point-parity Asymmetrymentioning

confidence: 94%

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

Shi¹,

Marriage²,

Appel³

et al. 2022

Preprint

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In this paper, we explore the power of the cosmic microwave background (CMB) polarization (Emode) 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 ρ between temperature and E-mode estimators to be less than 0.1, except for the point-parity asymmetry (ρ = 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 ∼ 3 for hemispherical power asymmetry and point-parity asymmetry, and by ∼ 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 100. Improvements with CLASS are intermediate to these.

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Section: Point-parity Asymmetrymentioning

confidence: 94%

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

Shi¹,

Marriage²,

Appel³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Equipped with a different estimator, Kim & Naselsky (2010) found the significance level was higher when they applied it to WMAP seven year temperature anisotropy data. More work has been done to better understand this anomaly since then (e.g., Gruppuso et al 2011;Kim et al 2012;Cheng et al 2016;Aluri et al 2017;Panda et al 2021). The corresponding result in Planck Collaboration VII (2020) based on the Planck 2018 data (significance above 3σ for temperature) also indicates that this anomaly deserves investigation.…”

Section: Point-parity Asymmetrymentioning

confidence: 99%

Testing Cosmic Microwave Background Anomalies in E-mode Polarization with Current and Future Data

Shi

Marriage

Appel

et al. 2023

ApJ

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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 ρ between temperature and E-mode estimators to be less than 0.1, except for the point-parity asymmetry (ρ = 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 ∼3 for hemispherical power asymmetry and point-parity asymmetry, and by ∼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 ≳100. Improvements with CLASS are intermediate to these.

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“…let us now address the deviation from the even-odd parity balance employing the parity statistic [21] as done in [12] P ( max ) = P + ( max ) P − ( max ) ;…”

Section: Parity Statistic Studymentioning

confidence: 99%

Stringy signals from large-angle correlations in the cosmic microwave background?

Sanchis-Lozano¹

2022

Preprint

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We interpret the lack of large-angle temperature correlations and the apparent even-odd parity imbalance, observed in the cosmic microwave background by COBE, WMAP and Planck satellite missions, as a possible stringy signal ultimately stemming from a composite inflaton field (e.g. a fermionic condensate). Based on causality arguments and a Fourier analysis of the angular two-point correlation function, two infrared cutoffs k even,odd min are introduced in the CMB power spectrum associated, respectively, with periodic and antiperiodic boundary conditions of the fermionic constituents (echoing the Neveu-Schwarz-Ramond model in superstring theory), without resorting to any particular model.

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Parity in Planck full-mission CMB temperature maps

Cited by 6 publications

References 21 publications

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

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

Testing Cosmic Microwave Background Anomalies in E-mode Polarization with Current and Future Data

Stringy signals from large-angle correlations in the cosmic microwave background?

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