SRoll2: an improved mapmaking approach to reduce large-scale systematic effects in the Planck High Frequency Instrument legacy maps

Abstract

This paper describes an improved mapmaking approach with respect to the one used for the Planck High Frequency Instrument 2018 Legacy release. The algorithm SRoll2 better corrects the known instrumental effects that still affected mostly the polarized large-angular-scale data by distorting the signal, and/or leaving residuals observable in null tests. The main systematic effect is the nonlinear response of the onboard analog-to-digital convertors that was cleaned in the Planck HFI Legacy release as an empirical time-varying linear detector chain response which is the first-order effect. The SRoll2 method fits the model parameters for higher-order effects and corrects the full distortion of the signal. The model parameters are fitted using the redundancies in the data by iteratively comparing the data and a model. The polarization efficiency uncertainties and associated errors have also been corrected based on the redundancies in the data and their residual levels characterized with simulations. This paper demonstrates the effectiveness of the method using end-to-end simulations, and provides a measure of the systematic effect residuals that now fall well below the detector noise level. Finally, this paper describes and characterizes the resulting SRoll2 frequency maps using the associated simulations that are} released to the community at http://sroll20.ias.u-psud.fr.

References in corpus (5)

• HEALPix -- a Framework for High Resolution Discretization, and Fast Analysis of Data Distributed on the Sphere
• Large-Scale Structure of the Molecular Gas in Taurus Revealed by High Linear Dynamic Range Spectral Line Mapping
• 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 2013 results. VI. High Frequency Instrument data processing

Cited by in corpus (41)

• Planck 2018 results. V. CMB power spectra and likelihoods
• Planck intermediate results. LVII. Joint Planck LFI and HFI data processing
• CMB power spectra and cosmological parameters from Planck PR4 with CamSpec
• Reionization optical depth determination from Planck HFI data with ten percent accuracy
• CMB spectral distortions revisited: a new take on $\mu$ distortions and primordial non-Gaussianities from FIRAS data
• Inference of the optical depth to reionization from low multipole temperature and polarisation Planck data
• Evidence for Line-of-Sight Frequency Decorrelation of Polarized Dust Emission in $Planck$ Data
• Full-sky Cosmic Microwave Background Foreground Cleaning Using Machine Learning
• BeyondPlanck I. Global Bayesian analysis of the Planck Low Frequency Instrument data
• Constraints on Primordial Magnetic Fields from their impact on the ionization history with Planck 2018
• Dispu$\tau$able: the high cost of a low optical depth
• RELIKE: Reionization Effective Likelihood from Planck 2018 Data
• Non-Gaussian modelling and statistical denoising of Planck dust polarization full-sky maps using scattering transforms
• Unified and consistent structure growth measurements from joint ACT, SPT and \textit{Planck} CMB lensing
• BeyondPlanck VII. Bayesian estimation of gain and absolute calibration for CMB experiments
• Dust polarization spectral dependence from Planck HFI data. Turning point on CMB polarization foregrounds modelling
• Lack-of-correlation anomaly in CMB large scale polarisation maps
• Instrumental systematics biases in CMB lensing reconstruction: a simulation-based assessment
• A novel CMB polarization likelihood package for large angular scales built from combined WMAP and Planck LFI legacy maps
• Joining bits and pieces of reionization history
• BeyondPlanck X. Bandpass and beam leakage corrections
• BeyondPlanck XII. Cosmological parameter constraints with end-to-end error propagation
• BeyondPlanck XI. Bayesian CMB analysis with sample-based end-to-end error propagation
• Optimization of foreground moment deprojection for semi-blind CMB polarization reconstruction
• Testing for spectral index variations in polarised CMB foregrounds
• Improved large scales interstellar dust foreground model and CMB solar dipole measurement
• BeyondPlanck X. Planck LFI frequency maps with sample-based error propagation
• B-mode constraints from Planck low multipole polarisation data
• How bad could it be? Modelling the 3D complexity of the polarised dust signal using moment expansion
• Dark Twilight Joined with the Light of Dawn to Unveil the Reionization History
• Inference of the optical depth to reionization $\tau$ from $\text{Planck}$ CMB maps with convolutional neural networks
• Knot reconstruction of the scalar primordial power spectrum with Planck, ACT, and SPT CMB data
• The Galactic interstellar medium has a preferred handedness of magnetic misalignment
• Associating LOFAR Galactic Faraday structures with the warm neutral medium
• Limits on Polarized Dust Spectral Index Variations for CMB Foreground Analysis
• From few to many maps: A fast map-level emulator for extreme augmentation of CMB systematics datasets
• Nearly Full-Sky Low-Multipole Cosmic Microwave Background Temperature Anisotropy: II. Angular Power Spectra and Likelihood
• SRoll3: A neural network approach to reduce large-scale systematic effects in the Planck High Frequency Instrument maps
• Beyond thermal approximations: Precise cosmological bounds on Axion-Like Particles
• Accurate and efficient likelihood modeling for large-scale CMB data
• A New Boundary Condition on Reionization