Using Two-Frequency Dust Spectral Matching to Separate Galactic Synchrotron and Free-Free Temperature Foregrounds from the CMB
J. L. Weiland, Charles L. Bennett, Graeme E. Addison, Mark Halpern,, Gary Hinshaw

TL;DR
This paper presents a novel two-frequency spectral matching method to effectively separate galactic synchrotron and free-free foregrounds from CMB data, improving foreground removal in microwave sky maps.
Contribution
The method leverages a difference map approach based on spectral energy distribution assumptions, providing a model-independent way to analyze foreground morphology and spectral variations.
Findings
Successfully applied to WMAP and Planck data
Enhanced understanding of high-latitude foreground structures
Estimated the diffuse synchrotron spectral index
Abstract
We introduce a method for removing CMB and anomalous microwave emission (AME, or spinning dust) intensity signals at high to intermediate Galactic latitudes in temperature sky maps at frequencies roughly between 5 and 40 GHz. The method relies on the assumption of a spatially uniform combined dust (AME and thermal) rms spectral energy distribution for these regions, but is otherwise model independent. A difference map is produced from input maps at two different frequencies in thermodynamic temperature: the two frequencies are chosen such that the rms AME signal in the lower frequency (~5 - 40 GHz) map is equivalent to the thermal dust emission rms in the higher frequency (~95 - 230 GHz) map. Given the high spatial correlation between AME and thermal dust, the resulting difference map is dominated by synchrotron and free-free foreground components, and can thus provide useful insight…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGeophysics and Gravity Measurements · GNSS positioning and interference · Solar and Space Plasma Dynamics
