QUIJOTE scientific results XIX. New constraints on the synchrotron spectral index using a semi-blind component separation method
Debabrata Adak, J. A. Rubi\~no-Mart\'in, R. T. G\'enova-Santos, M. Remazeilles, A. Almeida, K. Aryan, M. Ashdown, R. B. Barreiro, U. Bose, R. Cepeda-Arroita, J.M. Casas, M. Fern\'andez-Torreiro, E. Mart\'inez-Gonzalez, F. Poidevin, R. Rebolo, and P. Vielva

TL;DR
This paper presents a new semi-blind method combining moment expansion and constrained-ILC to estimate the synchrotron spectral index from multi-frequency polarised data, providing refined constraints and revealing a spectral steepening at higher latitudes.
Contribution
The authors introduce a novel semi-blind approach for mapping synchrotron spectral parameters, complementing existing parametric methods with a new moment-based technique.
Findings
Estimated synchrotron spectral index of -3.11 in the Galactic plane.
Detected a moderate steepening of the spectral index at high latitudes.
Results are consistent with previous parametric analyses, confirming the method's validity.
Abstract
We introduce a novel approach to estimate the spectral index, , of polarised synchrotron emission, combining the moment expansion of CMB and the constrained-ILC. We reconstructed the maps of the first two synchrotron moments, combining multi-frequency data, and applied the `T-T plot' technique between two moment maps to estimate the synchrotron spectral index. This approach offers a new technique for mapping the foreground spectral parameters, complementing the model-based parametric component separation methods. Applying this technique, we derived a new constraint on the spectral index of polarised synchrotron emission using QUIJOTE MFI wide-survey 11 and 13 GHz data, Wilkinson Microwave Anisotropy Probe data at K and Ka bands, and Planck LFI 30 GHz data. In the Galactic plane and North Polar Spur regions, we obtained an inverse-variance-weighted mean synchrotron index of…
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.
