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Reconstructing simulated CMB polarization power spectra with the Analytical Blind Separation method

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arxiv 1908.07862 v3 pith:S4HDSU2I submitted 2019-08-21 astro-ph.CO

Reconstructing simulated CMB polarization power spectra with the Analytical Blind Separation method

classification astro-ph.CO
keywords methodpolarizationpoweranalysisforegroundobservationsspectraanalytical
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Multi-frequency observations are needed to separate the CMB from foregrounds and accurately extract cosmological information from the data. The Analytical Blind Separation (ABS) method is dedicated to extracting the CMB power spectrum from multi-frequency observations in the presence of contamination from astrophysical foreground emission and instrumental noise. In this study, we apply the ABS method to simulated sky maps as could be observed with a future space-borne survey, in order to test the method's capability for determining the CMB polarization $E$- and $B$-mode power spectra. We present the ABS method performance on simulations for both a full-sky analysis and for an analysis concentrating on sky regions less impacted by Galactic foreground emission. We discuss the origin and minimization of biases in the estimated CMB polarization angular power spectra. We find that the ABS method performs quite well for the analysis of full-sky observations at intermediate and small angular scales, in spite of strong foreground contamination. On the largest scales, extra work is still required to reduce biases of various origins and the impact of confusion between CMB $E$ and $B$ polarization for partial-sky analyses.

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  1. Fast End-to-End Framework for Cosmological Parameter Inference from CMB Data Using Machine Learning

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    An ABS+neural-network pipeline recovers τ and r from simulated CMB maps for LiteBIRD/PICO with reported 1-σ errors of 0.0030–0.0035 (τ) and 0.0014–0.0056 (r), using held-out cosmologies sampled inside the training range.