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7 results on '"Zapelli, L."'

1. The advantage of Bolometric Interferometry for controlling Galactic foreground contamination in CMB primordial B-modes measurements

Author

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., Zannoni, M., and Collaboration, the QUBIC

Subjects
Astrophysics - Cosmology and Nongalactic Astrophysics
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 line-of-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., Comment: To appear in Proc. of the mm Universe 2023 conference, Grenoble (France), June 2023, published by F. Mayet et al. (Eds), EPJ Web of conferences, EDP Sciences

Published
2023

2. Identifying frequency decorrelated dust residuals in B-mode maps by exploiting the spectral capability of bolometric interferometry

Author

Regnier, M., Manzan, E., Hamilton, J. -Ch, Mennella, A., Errard, J., Zapelli, L., Torchinsky, S. A., Paradiso, S., Battistelli, E., De Bernardis, P., Colombo, L., De Petris, M., D'Alessandro, G., Garcia, B., Gervasi, M., Masi, S., Mousset, L., Granese, N. Miron, O'Sullivan, C., Piat, M., Rasztocky, E., Romero, G. E., Scoccola, C. G., and Zannoni, M.

Subjects
Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

Astrophysical polarized foregrounds represent the most critical challenge in Cosmic Microwave Background (CMB) B-mode experiments. Multi-frequency observations can be used to constrain astrophysical foregrounds to isolate the CMB contribution. However, recent observations indicate that foreground emission may be more complex than anticipated. 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 unaccounted Galactic dust frequency decorrelation along the line-of-sight. We focus on the next generation 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. We perform a Monte-Carlo analysis based on parametric component separation methods (FGBuster and Commander) and compute the likelihood on the recovered tensor-to-scalar ratio. The main result of this analysis is that spectral imaging allows us to detect systematic uncertainties on r from frequency decorrelation when this effect is not accounted for in component separation. Conversely, an imager 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, where we show that with BI we can measure more precisely the dust spectral index also when frequency decorrelation is present. The in-band frequency resolution provided by BI allows us to identify dust LOS frequency decorrelation residuals where an imager of similar performance would fail. This opens the prospect to exploit this potential in the context of future CMB polarization experiments that will be challenged by complex foregrounds in their quest for B-modes detection., Comment: 13 Pages, 15 figures, 4 tables. Accepted by A&A

Published
2023
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3. Identifying frequency de-correlated dust residuals in B-mode maps by exploiting the spectral capability of bolometric interferometry

Author

Regnier, M, Manzan, E, Hamilton, J, Mennella, A, Errard, J, Zapelli, L, Torchinsky, S, Paradiso, S, Battistelli, E, De Bernardis, P, Colombo, L, De Petris, M, D'Alessandro, G, Garcia, B, Gervasi, M, Masi, S, Mousset, L, Miron Granese, N, O'Sullivan, C, Piat, M, Rasztocky, E, Romero, G, Scoccola, C, Zannoni, M, Regnier, M., Manzan, E., Hamilton, J. -Ch., Mennella, A., Errard, J., Zapelli, L., Torchinsky, S. A., Paradiso, S., Battistelli, E., De Bernardis, P., Colombo, L., De Petris, M., D'Alessandro, G., Garcia, B., Gervasi, M., Masi, S., Mousset, L., Miron Granese, N., O'Sullivan, C., Piat, M., Rasztocky, E., Romero, G. E., Scoccola, C. G., Zannoni, M., Regnier, M, Manzan, E, Hamilton, J, Mennella, A, Errard, J, Zapelli, L, Torchinsky, S, Paradiso, S, Battistelli, E, De Bernardis, P, Colombo, L, De Petris, M, D'Alessandro, G, Garcia, B, Gervasi, M, Masi, S, Mousset, L, Miron Granese, N, O'Sullivan, C, Piat, M, Rasztocky, E, Romero, G, Scoccola, C, Zannoni, M, Regnier, M., Manzan, E., Hamilton, J. -Ch., Mennella, A., Errard, J., Zapelli, L., Torchinsky, S. A., Paradiso, S., Battistelli, E., De Bernardis, P., Colombo, L., De Petris, M., D'Alessandro, G., Garcia, B., Gervasi, M., Masi, S., Mousset, L., Miron Granese, N., O'Sullivan, C., Piat, M., Rasztocky, E., Romero, G. E., Scoccola, C. G., and Zannoni, M.

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

Published
2024

4. The advantage of Bolometric Interferometry for controlling Galactic foreground contamination in CMB primordial B-modes measurements

Author

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
Physics, QC1-999
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.

Published
2024
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5. Identifying frequency de-correlated dust residuals in B-mode maps by exploiting the spectral capability of bolometric interferometry

Author

Regnier, M., primary, Manzan, E., additional, Hamilton, J-Ch., additional, Mennella, A., additional, Errard, J., additional, Zapelli, L., additional, Torchinsky, S.A., additional, Paradiso, S., additional, Battistelli, E., additional, De Bernardis, P., additional, Colombo, L., additional, De Petris, M., additional, D’Alessandro, G., additional, Garcia, B., additional, Gervasi, M., additional, Masi, S., additional, Mousset, L., additional, Miron Granese, N., additional, O’Sullivan, C., additional, Piat, M., additional, Rasztocky, E., additional, E Romero, G., additional, Scoccola, C.G., additional, and Zannoni, M., additional

Published
2024
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6. FEM modeling of gigahertz TEM cells for susceptibility analysis of RFID products.

Author

Heuvelman, Wilmar, Janssen, Rick, and Prestros, Ralph

Abstract

This paper presents a novel simulation methodology to model the coupling between a GTEM cell and an RF-ID antenna. This model can further be used in a simulation test bench to verify the susceptibility of contactless RFID cards to RF interference from mobile phone transmissions. In this test bench the immunity test signals are injected into the contactless smart card under design within a model of a GTEM cell. A GTEM cell is used for this purpose because it is the only real-life test environment that allows exposing the DUT with a localized plane wave from 13.56 MHz up to multi-GHz frequencies. Our proposed methodology has been well verified by comparing simulations with measurements. [ABSTRACT FROM PUBLISHER]

Published
2012
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