B-sure. Part II. Scattering transforms as robustness test for tensor-to-scalar ratio detection from CMB observations
astro-ph.CO, astro-ph.IM, stat.AP
Submitted: 2026-09-15
Updated: 2026-09-15
Comments: 16 pages plus 10 pages of appendices and references; 3 tables, 10 figures. Prepared for submission to JCAP. Comments are welcome
Code: https://github.com/alecarones/broom
Project page: https://javicarron.github.io/mtneedlet/index.html
License: http://creativecommons.org/licenses/by-nc-sa/4.0/
The gist: Galactic foregrounds represent a major contamination to the measurement of primordial B-modes from observations of the Cosmic Microwave Background polarisation.
Terminology
Abstract
Galactic foregrounds represent a major contamination to the measurement of primordial B-modes from observations of the Cosmic Microwave Background polarisation. Even after the application of component separation algorithms, foreground residuals may potentially still bias the estimate of the tensor-to-scalar ratio r, causing a false detection. In this work, we present the methodology of a robustness test for the validation of an eventual detection of primordial B-modes, as obtained by a future, LiteBIRD-like satellite experiment. The goal of the test is to identify the foreground residuals contamination by looking for non-Gaussian properties in the CMB B-modes map, recovered through blind component separation algorithms. We adopt scattering transforms (ST) as our summary statistics sensitive to the non-Gaussian features of foreground residuals and to their correlation with foregrounds tracer maps. We characterise and validate the methodology on realistic sky simulations with different levels of foregrounds complexity. The proposed test is able to identify a bias on the tensor-to-scalar ratio of 10-3 in about 90% of our simulations, with this bias value being of the same order of the accuracy targeted by LiteBIRD. Additionally, for our particular experimental configuration, the test is passed when the bias is lower than the sensitivity on the r parameter, and no warning is raised. These results provide an important step forward in the development of statistical tools for validating future measurement of cosmological parameters, against foregrounds contamination.
Sources
- Measurements of Degree-Scale B-mode Polarization with the BICEP/Keck Experiments at South Pole
- A Measurement of Gravitational Lensing of the Cosmic Microwave Background by Galaxy Clusters Using Data from the South Pole Telescope
- Planck 2015 results. X. Diffuse component separation: Foreground maps
- Planck intermediate results. XXX. The angular power spectrum of polarized dust emission at intermediate and high Galactic latitudes
- Planck 2018 results. IV. Diffuse component separation
- Planck 2018 results. XI. Polarized dust foregrounds
- Characterization of foreground emission at degree angular scale for CMB B-modes observations. Thermal Dust and Synchrotron signal from Planck and WMAP data
- A full sky, low foreground, high resolution CMB map from WMAP
- The Simons Observatory: forecasted constraints on primordial gravitational waves with the expanded array of Small Aperture Telescopes
- Group Invariant Scattering
- Invariant Scattering Convolution Networks
- Multi-Clustering Needlet-ILC for CMB B-modes component separation
- Probing Cosmic Inflation with the LiteBIRD Cosmic Microwave Background Polarization Survey
- A Joint Analysis of BICEP2/Keck Array and Planck Data
- Multiscale Sparse Microcanonical Models
- Separation of polarized dust emission in Planck observations with Scattering Transforms
- Bayesian imaging inverse problem with scattering transform
- Full-sky Models of Galactic Microwave Emission and Polarization at Sub-arcminute Scales for the Python Sky Model
- BROOM: a python package for model-independent analysis of microwave astronomical data
- From few to many maps: A fast map-level emulator for extreme augmentation of CMB systematics datasets
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