1. The advantage of Bolometric Interferometry for controlling Galactic foreground contamination in CMB primordial B-modes measurements.
- Author
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Manzan, E., Regnier, M., Hamilton, J-Ch., Mennella, A., Errard, J., Zapelli, L., Torchinsky, S.A., Paradiso, S., Battistelli, E., Bersanelli, M., De Bernardis, P., De Petris, M., D'Alessandro, G., Gervasi, M., Masi, S., Piat, M., Rasztocky, E., Romero, G.E, Scoccola, C.G., and Zannoni, M.
- Subjects
INTERFEROMETRY ,COSMIC background radiation ,GALAXY clusters ,MONTE Carlo method ,ASTROPHYSICAL radiation - Abstract
In the quest for the faint primordial B-mode polarization of the Cosmic Microwave Background, three are the key requirements for any present or future experiment: an utmost sensitivity, excellent control over instrumental systematic effects and over Galactic foreground contamination. Bolometric Interferometry (BI) is a novel technique that matches them all by combining the sensitivity of bolometric detectors, the control of instrumental systematics from interferometry and a software-based, tunable, in-band spectral resolution due to its ability to perform band-splitting during data analysis (spectral imaging). In this paper, we investigate how the spectral imaging capability of BI can help in detecting residual contamination in case an over-simplified model of foreground emission is assumed in the analysis. To mimic this situation, we focus on the next generation of ground-based CMB experiment, CMB-S4, and compare its anticipated sensitivities, frequency and sky coverage with a hypothetical version of the same experiment based on BI, CMB-S4/BI, assuming that lineof-sight (LOS) frequency decorrelation is present in dust emission but is not accounted for during component separation. We show results from a Monte-Carlo analysis based on a parametric component separation method (FGBuster), highlighting how BI has the potential to diagnose the presence of foreground residuals in estimates of the tensor-to-scalar ratio r in the case of unaccounted Galactic dust LOS frequency decorrelation. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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