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Making maps of cosmic microwave background polarization for B-mode studies: the POLARBEAR example

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Title: Making maps of cosmic microwave background polarization for B-mode studies: the POLARBEAR example
Authors: Poletti, D
Fabbian, G
Le Jeune, M
Peloton, J
Arnold, K
Baccigalupi, C
Barron, D
Beckman, S
Borrill, J
Chapman, S
Chinone, Y
Cukierman, A
Ducout, A
Elleflot, T
Errard, J
Feeney, S
Goeckner-Wald, N
Groh, J
Hall, G
Hasegawa, M
Hazumi, M
Hill, C
Howe, L
Inoue, Y
Jaffe, AH
Jeong, O
Katayama, N
Keating, B
Keskitalo, R
Kisner, T
Kusaka, A
Lee, AT
Leon, D
Linder, E
Lowry, L
Matsuda, F
Navaroli, M
Paar, H
Puglisi, G
Richardt, CL
Ross, C
Siritanasak, P
Stebor, N
Steinbach, B
Stompor, R
Suzuki, A
Tajima, O
Teply, G
Whitehorn, N
Item Type: Journal Article
Abstract: Analysis of cosmic microwave background (CMB) datasets typically requires some filtering of the raw time-ordered data. For instance, in the context of ground-based observations, filtering is frequently used to minimize the impact of low frequency noise, atmospheric contributions and/or scan synchronous signals on the resulting maps. In this work we have explicitly constructed a general filtering operator, which can unambiguously remove any set of unwanted modes in the data, and then amend the map-making procedure in order to incorporate and correct for it. We show that such an approach is mathematically equivalent to the solution of a problem in which the sky signal and unwanted modes are estimated simultaneously and the latter are marginalized over. We investigated the conditions under which this amended map-making procedure can render an unbiased estimate of the sky signal in realistic circumstances. We then discuss the potential implications of these observations on the choice of map-making and power spectrum estimation approaches in the context of B-mode polarization studies. Specifically, we have studied the effects of time-domain filtering on the noise correlation structure in the map domain, as well as impact it may have on the performance of the popular pseudospectrum estimators. We conclude that although maps produced by the proposed estimators arguably provide the most faithful representation of the sky possible given the data, they may not straightforwardly lead to the best constraints on the power spectra of the underlying sky signal and special care may need to be taken to ensure this is the case. By contrast, simplified map-makers which do not explicitly correct for time-domain filtering, but leave it to subsequent steps in the data analysis, may perform equally well and be easier and faster to implement. We focused on polarization-sensitive measurements targeting the B-mode component of the CMB signal and apply the proposed methods to realistic simulations based on characteristics of an actual CMB polarization experiment, POLARBEAR. Our analysis and conclusions are however more generally applicable.
Issue Date: 1-Apr-2017
Date of Acceptance: 18-Dec-2016
URI: http://hdl.handle.net/10044/1/60511
DOI: https://dx.doi.org/10.1051/0004-6361/201629467
ISSN: 0004-6361
Publisher: EDP Sciences
Journal / Book Title: Astronomy and Astrophysics
Volume: 600
Copyright Statement: © 2017 ESO
Sponsor/Funder: Science and Technology Facilities Council
Science and Technology Facilities Council (STFC)
Funder's Grant Number: ST-N000838
ST/N000838/1
Keywords: Science & Technology
Physical Sciences
Astronomy & Astrophysics
cosmic background radiation
cosmology: observations
DESTRIPING TECHNIQUE
STATISTICAL-ANALYSIS
MAKING ALGORITHM
POWER SPECTRUM
DATA SETS
PLANCK
FIELD
astro-ph.IM
astro-ph.CO
0201 Astronomical And Space Sciences
Publication Status: Published
Article Number: A60
Online Publication Date: 2017-03-30
Appears in Collections:Physics
Astrophysics
Faculty of Natural Sciences