Rogers, KK;
Peiris, HV;
Leistedt, B;
McEwen, JD;
Pontzen, A;
(2016)
Spin-SILC: CMB polarization component separation with spin wavelets.
Monthly Notices of the Royal Astronomical Society
, 463
(3)
pp. 2310-2322.
10.1093/mnras/stw2128.
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Abstract
We present Spin-SILC, a new foreground component separation method that accurately extracts the cosmic microwave background (CMB) polarization E and B modes from raw multifrequency Stokes Q and U measurements of the microwave sky. Spin-SILC is an internal linear combination method that uses spin wavelets to analyse the spin-2 polarization signal P = Q + iU. The wavelets are additionally directional (non-axisymmetric). This allows different morphologies of signals to be separated and therefore the cleaning algorithm is localized using an additional domain of information. The advantage of spin wavelets over standard scalar wavelets is to simultaneously and self-consistently probe scales and directions in the polarization signal P = Q + iU and in the underlying E and B modes, therefore providing the ability to perform component separation and E–B decomposition concurrently for the first time. We test Spin-SILC on full-mission Planck simulations and data and show the capacity to correctly recover the underlying cosmological E and B modes. We also demonstrate a strong consistency of our CMB maps with those derived from existing component separation methods. Spin-SILC can be combined with the pseudo- and pure E–B spin wavelet estimators presented in a companion paper to reliably extract the cosmological signal in the presence of complicated sky cuts and noise. Therefore, it will provide a computationally efficient method to accurately extract the CMB E and B modes for future polarization experiments.
| Type: | Article |
|---|---|
| Title: | Spin-SILC: CMB polarization component separation with spin wavelets |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1093/mnras/stw2128 |
| Publisher version: | http://dx.doi.org/10.1093/mnras/stw2128 |
| Language: | English |
| Additional information: | This article has been accepted for publication in Monthly Notices of the Royal Astronomical Society © 2016 The Authors. Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved. |
| Keywords: | Science & Technology, Physical Sciences, Astronomy & Astrophysics, methods: data analysis, cosmic background radiation, POWER SPECTRUM ESTIMATION, DIRECTIONAL WAVELETS, SPHERICAL NEEDLETS, SAMPLING THEOREM, GRAVITY-WAVES, MICROWAVE, MAP, RECONSTRUCTION, PROBE, WMAP |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Physics and Astronomy UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Space and Climate Physics |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/1508533 |
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