volume 686 pages A271

Identifying frequency de-correlated dust residuals in B-mode maps by exploiting the spectral capability of bolometric interferometry

M. Regnier 1
E. Manzan 2, 3
J.-Ch. Hamilton 1
Aniello Mennella 2, 3
Josquin Errard 1
L. Zapelli 2, 3
S. A. Torchinsky 1
S. Paradiso 4, 5
E. S. Battistelli 6
P. de Bernardis 6
L P L Colombo 3
M. De Petris 6
G. D'Alessandro 6
B. García 7
M. Gervasi 8
S. Masi 6
L. Mousset 9
Nahuel Mirón-Granese 10, 11, 12
C. O’Sullivan 13
M. Piat 1
E Rasztocky 14
G. E. Romero 14
Claudia G Scóccola 10, 11
Mario Zannoni 8
9
 
IRAP - Institut de recherche en astrophysique et planétologie (9 avenue Colonel Roche 31028 Toulouse - France)
10
 
Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2290, Ciudad de Buenos Aires C1425FQB, Argentina
Publication typeJournal Article
Publication date2024-06-01
scimago Q1
wos Q1
SJR1.968
CiteScore8.9
Impact factor5.8
ISSN00046361, 14320746, 23291273, 23291265
Abstract

Context. Astrophysical polarized foregrounds represent the most critical challenge in cosmic microwave background (CMB) B-mode experiments, requiring multifrequency observations to constrain astrophysical foregrounds and isolate the CMB signal. However, recent observations indicate that foreground emission may be more complex than anticipated. Not properly accounting for these complexities during component separation can lead to a bias in the recovered tensor-to-scalar ratio.

Aims. In this paper we investigate how the increased spectral resolution provided by band-splitting in bolometric interferometry (BI) through a technique called spectral imaging can help control the foreground contamination in the case of an unaccounted-for Galactic dust frequency de-correlation along the line of sight (LOS).

Methods. We focused on the next-generation ground-based CMB experiment CMB-S4 and compared its anticipated sensitivity, frequency, and sky coverage with a hypothetical version of the same experiment based on BI (CMB-S4/BI). We performed a Monte Carlo analysis based on parametric component separation methods (FGBuster and Commander) and computed the likelihood of the recovered tensor-to-scalar ratio, r.

Results. The main result is that spectral imaging allows us to detect systematic uncertainties on r from frequency de-correlation when this effect is not accounted for in the component separation. Conversely, an imager such as CMB-S4 would detect a biased value of r and would be unable to spot the presence of a systematic effect. We find a similar result in the reconstruction of the dust spectral index, and we show that with BI we can more precisely measure the dust spectral index when frequency de-correlation is present and not accounted for in the component separation.

Conclusions. The in-band frequency resolution provided by BI allows us to identify dust LOS frequency de-correlation residuals where an imager with a similar level of performance would fail. This creates the possibility of exploiting this potential in the context of future CMB polarization experiments that will be challenged by complex foregrounds in their quest for B-mode detection.

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Regnier M. et al. Identifying frequency de-correlated dust residuals in B-mode maps by exploiting the spectral capability of bolometric interferometry // Astronomy and Astrophysics. 2024. Vol. 686. p. A271.
GOST all authors (up to 50) Copy
Regnier M. et al. Identifying frequency de-correlated dust residuals in B-mode maps by exploiting the spectral capability of bolometric interferometry // Astronomy and Astrophysics. 2024. Vol. 686. p. A271.
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RIS Copy
TY - JOUR
DO - 10.1051/0004-6361/202347890
UR - https://www.aanda.org/10.1051/0004-6361/202347890
TI - Identifying frequency de-correlated dust residuals in B-mode maps by exploiting the spectral capability of bolometric interferometry
T2 - Astronomy and Astrophysics
AU - Regnier, M.
AU - Manzan, E.
AU - Hamilton, J.-Ch.
AU - Mennella, Aniello
AU - Errard, Josquin
AU - Zapelli, L.
AU - Torchinsky, S. A.
AU - Paradiso, S.
AU - Battistelli, E. S.
AU - de Bernardis, P.
AU - Colombo, L P L
AU - De Petris, M.
AU - D'Alessandro, G.
AU - García, B.
AU - Gervasi, M.
AU - Masi, S.
AU - Mousset, L.
AU - Mirón-Granese, Nahuel
AU - O’Sullivan, C.
AU - Piat, M.
AU - Rasztocky, E
AU - Romero, G. E.
AU - Scóccola, Claudia G
AU - Zannoni, Mario
PY - 2024
DA - 2024/06/01
PB - EDP Sciences
SP - A271
VL - 686
SN - 0004-6361
SN - 1432-0746
SN - 2329-1273
SN - 2329-1265
ER -
BibTex
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@article{2024_Regnier,
author = {M. Regnier and E. Manzan and J.-Ch. Hamilton and Aniello Mennella and Josquin Errard and L. Zapelli and S. A. Torchinsky and S. Paradiso and E. S. Battistelli and P. de Bernardis and L P L Colombo and M. De Petris and G. D'Alessandro and B. García and M. Gervasi and S. Masi and L. Mousset and Nahuel Mirón-Granese and C. O’Sullivan and M. Piat and E Rasztocky and G. E. Romero and Claudia G Scóccola and Mario Zannoni and others},
title = {Identifying frequency de-correlated dust residuals in B-mode maps by exploiting the spectral capability of bolometric interferometry},
journal = {Astronomy and Astrophysics},
year = {2024},
volume = {686},
publisher = {EDP Sciences},
month = {jun},
url = {https://www.aanda.org/10.1051/0004-6361/202347890},
pages = {A271},
doi = {10.1051/0004-6361/202347890}
}