Limits on Polarized Dust Spectral Index Variations for CMB Foreground Analysis
arXiv:2104.01072 · doi:10.3847/1538-4357/ac1e8e
Abstract
Using Planck polarization data, we search for and constrain spatial variations of the polarized dust foreground for cosmic microwave background (CMB) observations, specifically in its spectral index, . Failure to account for such variations will cause errors in the foreground cleaning that propagate into errors on cosmological parameter recovery from the cleaned CMB map. It is unclear how robust prior studies of the Planck data which constrained variations are due to challenges with noise modeling, residual systematics, and priors. To clarify constraints on and its variation, we employ two pixel space analyses of the polarized dust foreground at scales on of the sky at high Galactic latitudes. A template fitting method, which measures over three regions of of the sky, does not find significant deviations from an uniform , consistent with prior Planck determinations. An additional analysis in these regions, based on multifrequency fits to a dust and CMB model per pixel, puts limits on , the Gaussian spatial variation in . At the highest latitudes, the data support up to , at mid-latitudes, and at low-latitudes. We also demonstrate that care must be taken when interpreting the current Planck constraints, maps, and noise simulations. Due to residual systematics and low dust signal to noise at high latitudes, forecasts for ongoing and future missions should include the possibility of large values of as estimated in this paper, based on current polarization data.
arXiv comment17 pages, 10 figures, 4 tables, version accepted by ApJ
References in corpus (30)
- Planck 2015 results. XIII. Cosmological parameters
- HEALPix -- a Framework for High Resolution Discretization, and Fast Analysis of Data Distributed on the Sphere
- Dust Grain Size Distributions and Extinction in the Milky Way, LMC, and SMC
- Nine-Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Final Maps and Results
- The Simons Observatory: Science goals and forecasts
- Three Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Polarization Analysis
- Statistics of Cosmic Microwave Background Polarization
- First Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Foreground Emission
- BICEP2 / Keck Array x: Constraints on Primordial Gravitational Waves using Planck, WMAP, and New BICEP2/Keck Observations through the 2015 Season
- Planck 2018 results. IV. Diffuse component separation
- Tracing Magnetic Fields with Aligned Grains
- Planck 2018 results. III. High Frequency Instrument data processing and frequency maps
- Planck intermediate results. LVII. Joint Planck LFI and HFI data processing
- Planck 2015 results. X. Diffuse component separation: Foreground maps
- Component separation methods for the Planck mission
- The Python Sky Model: software for simulating the Galactic microwave sky
- Fast estimation of polarization power spectra using correlation functions
- Power spectrum estimation from high-resolution maps by Gibbs sampling
- Planck 2018 results. XI. Polarized dust foregrounds
- Planck intermediate results. XXII. Frequency dependence of thermal emission from Galactic dust in intensity and polarization
- Planck 2013 results. IX. HFI spectral response
- Magnetic Nanoparticles in the Interstellar Medium: Emission Spectrum and Polarization
- LiteBIRD: JAXA's new strategic L-class mission for all-sky surveys of cosmic microwave background polarization
- Five-Year Wilkinson Microwave Anisotropy Probe (WMAP) Observations: Bayesian Estimation of CMB Polarization Maps
- Multi-resolution internal template cleaning: An application to the Wilkinson Microwave Anisotropy Probe 7-yr polarization data
- Planck 2018 results. II. Low Frequency Instrument data processing
- SRoll2: an improved mapmaking approach to reduce large-scale systematic effects in the Planck High Frequency Instrument legacy maps
- Planck intermediate results. L. Evidence for spatial variation of the polarized thermal dust spectral energy distribution and implications for CMB -mode analysis
- CMB power spectrum estimation and map reconstruction with the Expectation - Maximization algorithm
- No evidence for dust B-mode decorrelation in Planck data