Improved large scales interstellar dust foreground model and CMB solar dipole measurement

Abstract

The Cosmic Microwave Background anisotropies are difficult to measure at large angular scales. In this paper, we present a new analysis of the \Planck\ High Frequency Instrument data that brings the cosmological part and its major foreground signal close to the detector noise. The solar dipole signal, induced by the motion of the solar system with respect to the CMB, is a very efficient tool to calibrate a detector or a set of detectors with high accuracy. In this work, the solar dipole signal is used to extract corrections of the frequency maps offsets reducing significantly uncertainties. The solar dipole parameters are refined together with the improvement of the high frequency foregrounds, and of the CMB large scales cosmological anisotropies. The stability of the solar dipole parameters is a powerful way to control the galactic foregrounds removal in the component separation process. It is used to build a model for Spectral Energy Distribution spatial variations of the interstellar dust emission. The knowledge of these variations will help future CMB analyses in intensity, and also in polarization to measure faint signal related to the optical reionization depth and the tensor-to-scalar ratio of the primordial anisotropies. The results of this work are: improved solar dipole parameters, a new interstellar dust model, and a large scale cosmological anisotropies map.

References in corpus (16)

• HEALPix -- a Framework for High Resolution Discretization, and Fast Analysis of Data Distributed on the Sphere
• Five-Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Data Processing, Sky Maps, and Basic Results
• The Cosmic Microwave Background Spectrum from the Full COBE/FIRAS Data Set
• The Temperature of the Cosmic Microwave Background
• Planck 2018 results. V. CMB power spectra and likelihoods
• Planck 2013 results. XI. All-sky model of thermal dust emission
• Planck 2018 results. IV. Diffuse component separation
• Planck intermediate results. XLVI. Reduction of large-scale systematic effects in HFI polarization maps and estimation of the reionization optical depth
• Planck 2018 results. III. High Frequency Instrument data processing and frequency maps
• Planck intermediate results. LVII. Joint Planck LFI and HFI data processing
• Global, Exact Cosmic Microwave Background Data Analysis Using Gibbs Sampling
• Planck 2013 results. IX. HFI spectral response
• Planck 2013 results. VIII. HFI photometric calibration and mapmaking
• Reionization optical depth determination from Planck HFI data with ten percent accuracy
• SRoll2: an improved mapmaking approach to reduce large-scale systematic effects in the Planck High Frequency Instrument legacy maps
• A Monte Carlo comparison between template-based and Wiener-filter CMB dipole estimators

Cited by in corpus (8)

• BeyondPlanck I. Global Bayesian analysis of the Planck Low Frequency Instrument data
• Non-Gaussian modelling and statistical denoising of Planck dust polarization full-sky maps using scattering transforms
• BeyondPlanck XI. Bayesian CMB analysis with sample-based end-to-end error propagation
• Cosmoglobe DR1 results. I. Improved Wilkinson Microwave Anisotropy Probe maps through Bayesian end-to-end analysis
• Testing for spectral index variations in polarised CMB foregrounds
• Probing the global 21-cm background by velocity-induced dipole and quadrupole anisotropies
• Measuring our peculiar velocity from spectroscopic redshift surveys
• Do We Have Sufficient Knowledge of the Galactic Foreground Emission in Cosmic Microwave Background Science?