Full-sky Models of Galactic Microwave Emission and Polarization at Sub-arcminute Scales for the Python Sky Model
The Pan-Experiment Galactic Science Group, :, Julian Borrill, Susan E. Clark, Jacques Delabrouille, Andrei V. Frolov, Shamik Ghosh, Brandon S. Hensley, Monica D. Hicks, Nicoletta Krachmalnicoff, King Lau, Myra M. Norton, Clement Pryke, Giuseppe Puglisi, Mathieu Remazeilles, Elisa Russier, Benjamin Thorne, Jian Yao, Andrea Zonca
TL;DR
This work tackles the challenge of Galactic foregrounds in CMB polarization by developing high-fidelity, full-sky models for dust and synchrotron emission that incorporate a polarization fraction tensor to couple intensity and polarization and enable stochastic realizations of small-scale structure. Implemented in PySM3, the models leverage GNILC- and Planck-based templates and extend to sub-arcminute scales while preserving large-scale constraints, providing ensembles of skies reflecting current uncertainties. The authors validate the models against Planck/NPIPE data and BK18 constraints, demonstrating improvements over prior PySM versions, especially in dust BB power on small scales and in frequency decorrelation behavior. They present three model suites (low, medium, high complexity) spanning a range of astrophysical realism and provide public data products to facilitate forecasting and joint analyses across experiments.
Abstract
Polarized foreground emission from the Galaxy is one of the biggest challenges facing current and upcoming cosmic microwave background (CMB) polarization experiments. We develop new models of polarized Galactic dust and synchrotron emission at CMB frequencies that draw on the latest observational constraints, that employ the ``polarization fraction tensor'' framework to couple intensity and polarization in a physically motivated way, and that allow for stochastic realizations of small-scale structure at sub-arcminute angular scales currently unconstrained by full-sky data. We implement these models into the publicly available Python Sky Model (PySM) software and additionally provide PySM interfaces to select models of dust and CO emission from the literature. We characterize the behavior of each model by quantitatively comparing it to observational constraints in both maps and power spectra, demonstrating an overall improvement over previous PySM models. Finally, we synthesize models of the various Galactic foreground components into a coherent suite of three plausible microwave skies that span a range of astrophysical complexity allowed by current data.
