BeyondPlanck XIII. Intensity foreground sampling, degeneracies, and priors
arXiv:2201.08188 · doi:10.1051/0004-6361/202243186
Abstract
We present the intensity foreground algorithms and model employed within the BeyondPlanck analysis framework. The BeyondPlanck analysis is aimed at integrating component separation and instrumental parameter sampling within a global framework, leading to complete end-to-end error propagation in the Low Frequency Instrument (LFI) data analysis. Given the scope of the BeyondPlanck analysis, a limited set of data is included in the component separation process, leading to foreground parameter degeneracies. In order to properly constrain the Galactic foreground parameters, we improve upon the previous component separation implementation by adding a suite of algorithmic techniques. These algorithms are designed to improve the stability and computational efficiency for weakly constrained posterior distributions. These are: 1) joint foreground spectral parameter and amplitude sampling, building on ideas from Miramare; 2) component-based monopole determination; 3) joint spectral parameter and monopole sampling; and 4) application of informative spatial priors for component amplitude maps. We find that the only spectral parameter with a significant signal-to-noise ratio using the current BeyondPlanck data set is the peak frequency of the anomalous microwave emission component, for which we find GHz; all others must be constrained through external priors. Future works will be aimed at integrating many more data sets into this analysis, both map and time-ordered based, thereby gradually eliminating the currently observed degeneracies in a controlled manner with respect to both instrumental systematic effects and astrophysical degeneracies. When this happens, the simple LFI-oriented data model employed in the current work will need to be generalized to account for both a richer astrophysical model and additional instrumental effects.
arXiv comment27 pages, 23 figures, 3 tables, part 13 of the BeyondPlanck release. All BeyondPlanck products and software will be released publicly at http://beyondplanck.science. Paper version as accepted by A&A
References in corpus (45)
- HEALPix -- a Framework for High Resolution Discretization, and Fast Analysis of Data Distributed on the Sphere
- Nine-Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Final Maps and Results
- Five-Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Data Processing, Sky Maps, and Basic Results
- Planck 2018 results. I. Overview and the cosmological legacy of Planck
- The Temperature of the Cosmic Microwave Background
- Planck 2018 results. V. CMB power spectra and likelihoods
- First Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Foreground Emission
- A Full-Sky H-alpha Template for Microwave Foreground Prediction
- Planck 2018 results. IV. Diffuse component separation
- Planck 2018 results. III. High Frequency Instrument data processing and frequency maps
- Diffuse Galactic Emission from Spinning Dust Grains
- The Australia Telescope 20 GHz Survey: The Source Catalogue
- Planck intermediate results. LVII. Joint Planck LFI and HFI data processing
- Joint Bayesian component separation and CMB power spectrum estimation
- Planck 2013 results. XII. Component separation
- Planck 2015 results. IX. Diffuse component separation: CMB maps
- Planck 2015 results. VIII. High Frequency Instrument data processing: Calibration and maps
- The pre-launch Planck Sky Model: a model of sky emission at submillimetre to centimetre wavelengths
- Global, Exact Cosmic Microwave Background Data Analysis Using Gibbs Sampling
- Planck Early Results XXIV: Dust in the diffuse interstellar medium and the Galactic halo
- Power spectrum estimation from high-resolution maps by Gibbs sampling
- Foreground component separation with generalised ILC
- A new, large-scale map of interstellar reddening derived from HI emission
- Application of Monte Carlo Algorithms to the Bayesian Analysis of the Cosmic Microwave Background
- Maximum Likelihood algorithm for parametric component separation in CMB experiments
- Spinning dust emission: the effect of rotation around a non-principal axis
- Planck 2015 results. IV. Low Frequency Instrument beams and window functions
- Planck 2018 results. II. Low Frequency Instrument data processing
- Planck 2013 results. II. Low Frequency Instrument data processing
- The HIPASS survey of the Galactic plane in Radio Recombination Lines
- Planck 2013 results. V. LFI calibration
- Measurements of the Intensity and Polarization of the Anomalous Microwave Emission in the Perseus molecular complex with QUIJOTE
- First Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Galactic Signal Contamination from Sidelobe Pickup
- Detection of PAH Absorption and Determination of the Mid-Infrared Diffuse Interstellar Extinction Curve from the Sightline Toward Cyg OB2-12
- Maximum likelihood, parametric component separation and CMB B-mode detection in suborbital experiments
- BeyondPlanck III. Commander3
- BeyondPlanck XIII. Intensity foreground sampling, degeneracies, and priors
- Multi-resolution Bayesian CMB component separation through Wiener-filtering with a pseudo-inverse preconditioner
- BeyondPlanck VII. Bayesian estimation of gain and absolute calibration for CMB experiments
- BeyondPlanck X. Bandpass and beam leakage corrections
- BeyondPlanck XI. Bayesian CMB analysis with sample-based end-to-end error propagation
- BeyondPlanck XII. Cosmological parameter constraints with end-to-end error propagation
- From BeyondPlanck to Cosmoglobe: Preliminary -band analysis
- BeyondPlanck VI. Noise characterization and modelling
- BeyondPlanck VIII. Efficient Sidelobe Convolution and Correction through Spin Harmonics
Cited by in corpus (23)
- BeyondPlanck III. Commander3
- Cosmoglobe DR1 results. II. Constraints on isotropic cosmic birefringence from reprocessed WMAP and Planck LFI data
- BeyondPlanck I. Global Bayesian analysis of the Planck Low Frequency Instrument data
- BeyondPlanck XIII. Intensity foreground sampling, degeneracies, and priors
- Tensor-to-scalar ratio forecasts for extended LiteBIRD frequency configurations
- Full-sky Models of Galactic Microwave Emission and Polarization at Sub-arcminute Scales for the Python Sky Model
- Disentangling the Faraday rotation sky
- BeyondPlanck X. Bandpass and beam leakage corrections
- From BeyondPlanck to Cosmoglobe: Preliminary -band analysis
- Cosmoglobe DR1 results. I. Improved Wilkinson Microwave Anisotropy Probe maps through Bayesian end-to-end analysis
- BeyondPlanck XI. Bayesian CMB analysis with sample-based end-to-end error propagation
- BeyondPlanck VI. Noise characterization and modelling
- QUIJOTE scientific results -- X. Spatial variations of Anomalous Microwave Emission along the Galactic plane
- BeyondPlanck XVI. Limits on Large-Scale Polarized Anomalous Microwave Emission from Planck LFI and WMAP
- BeyondPlanck X. Planck LFI frequency maps with sample-based error propagation
- BeyondPlanck VIII. Efficient Sidelobe Convolution and Correction through Spin Harmonics
- BeyondPlanck IV. On end-to-end simulations in CMB analysis -- Bayesian versus frequentist statistics
- Cosmoglobe DR1. III. First full-sky model of polarized synchrotron emission from all WMAP and Planck LFI data
- ForSE+: Simulating non-Gaussian CMB foregrounds at 3 arcminutes in a stochastic way based on a generative adversarial network
- Statistical properties of Galactic synchrotron temperature and polarization maps -- a multi-frequency comparison
- BeyondPlanck V. Minimal ADC Corrections for Planck LFI
- B-mode polarization forecasts for GreenPol
- On the computational feasibility of Bayesian end-to-end analysis of LiteBIRD simulations within Cosmoglobe