@Article{SantosYZGZZVCD:2021:TeAnBl,
author = "Santos, L. and Yao, J. and Zhang, L. and Ghosh, S. and Zhang, P.
and Zhao, W. and Villela Neto, Thyrso and Chen, J. and
Delabrouille, J.",
affiliation = "{Yangzhou University} and {Shanghai Jiao Tong University} and
{Shanghai Jiao Tong University} and {University of Science and
Technology of China} and {Shanghai Jiao Tong University} and
{University of Science and Technology of China} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {University of Science
and Technology of China} and {University of Science and Technology
of China}",
title = "Testing the analytical blind separation method in simulated CMB
polarization maps",
journal = "Astronomy \& Astrophysics",
year = "2021",
volume = "650",
pages = "A65",
month = "June",
keywords = "Cosmic background radiation, Cosmology: observations, Methods:
data analysis.",
abstract = "ontext. Multi-frequency observations are needed to separate the
cosmic microwave background (CMB) from foreground emission 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. Aims. 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 its capability
of determining the CMB polarization E- and B-mode power spectra.
Methods. 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. Results. 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.",
doi = "10.1051/0004-6361/201936546",
url = "http://dx.doi.org/10.1051/0004-6361/201936546",
issn = "0004-6361 and 1432-0746",
language = "en",
urlaccessdate = "20 maio 2024"
}