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CMB power spectra and cosmological parameters from Planck PR4 with CamSpec

Erik Rosenberg, Steven Gratton, George Efstathiou

TL;DR

This paper presents Planck PR4 (NPIPE) high-ell CMB power spectra and cosmological constraints using a new CamSpec likelihood. It details the NPIPE processing differences, masking, dust cleaning, calibration (including TP leakage and polarization efficiencies), and analytic noise modeling, along with cross-spectra techniques and internal consistency tests. The results show excellent agreement with the Planck 2018 analysis at the parameter level, while the PR4 maps deliver ~10% tighter constraints and shifts in some beyond-LCDM parameters (notably Omega_K and A_L). The work also compares Planck PR4 results with ACT and SPT, finding overall consistency and reinforcing Planck’s cosmological conclusions while reducing some parameter tensions observed in earlier analyses.

Abstract

We present angular power spectra and cosmological parameter constraints derived from the Planck PR4 (NPIPE) maps of the Cosmic Microwave Background. NPIPE, released by the Planck Collaboration in 2020, is a new processing pipeline for producing calibrated frequency maps from Planck data. We have created new versions of the CamSpec likelihood using these maps and applied them to constrain LCDM and single-parameter extensions. We find excellent consistency between NPIPE and the Planck 2018 maps at the parameter level, showing that the Planck cosmology is robust to substantial changes in the mapmaking. The lower noise of NPIPE leads to ~10% tighter constraints, and we see both smaller error bars and a shift toward the LCDM values for beyond-LCDM parameters including Omega_K and A_Lens.

CMB power spectra and cosmological parameters from Planck PR4 with CamSpec

TL;DR

This paper presents Planck PR4 (NPIPE) high-ell CMB power spectra and cosmological constraints using a new CamSpec likelihood. It details the NPIPE processing differences, masking, dust cleaning, calibration (including TP leakage and polarization efficiencies), and analytic noise modeling, along with cross-spectra techniques and internal consistency tests. The results show excellent agreement with the Planck 2018 analysis at the parameter level, while the PR4 maps deliver ~10% tighter constraints and shifts in some beyond-LCDM parameters (notably Omega_K and A_L). The work also compares Planck PR4 results with ACT and SPT, finding overall consistency and reinforcing Planck’s cosmological conclusions while reducing some parameter tensions observed in earlier analyses.

Abstract

We present angular power spectra and cosmological parameter constraints derived from the Planck PR4 (NPIPE) maps of the Cosmic Microwave Background. NPIPE, released by the Planck Collaboration in 2020, is a new processing pipeline for producing calibrated frequency maps from Planck data. We have created new versions of the CamSpec likelihood using these maps and applied them to constrain LCDM and single-parameter extensions. We find excellent consistency between NPIPE and the Planck 2018 maps at the parameter level, showing that the Planck cosmology is robust to substantial changes in the mapmaking. The lower noise of NPIPE leads to ~10% tighter constraints, and we see both smaller error bars and a shift toward the LCDM values for beyond-LCDM parameters including Omega_K and A_Lens.
Paper Structure (1 section, 2 figures)

This paper contains 1 section, 2 figures.

Table of Contents

  1. Introduction

Figures (2)

  • Figure 3: NPIPE noise spectra before mask and beam deconvolution. Solid, dashed, and dotted lines show the auto-spectra of T, Q, and U maps respectively. For each frequency and split we show the auto-spectrum, half-ring difference (HRD) spectrum, and the simulated version of each. For the simulations we show the mean of 100 simulations. 143B and 217A are qualitatively similar to 143A/217B and are omitted.
  • Figure 4: NPIPE undeconvolved full-mission simulated noise spectra divided by their PR3 counterparts. Solid, dashed, and dotted lines show auto-spectra of T, Q, and U maps respectively.