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Title: Tensor-to-scalar ratio forecasts for extended LiteBIRD frequency configurations

Abstract

LiteBIRD is a planned JAXA-led cosmic microwave background (CMB) B-mode satellite experiment aiming for launch in the late 2020s, with a primary goal of detecting the imprint of primordial inflationary gravitational waves. Its current baseline focal-plane configuration includes 15 frequency bands between 40 and 402 GHz, fulfilling the mission requirements to detect the amplitude of gravitational waves with the total uncertainty on the tensor-to-scalar ratio, δr, down to δr < 0.001. A key aspect of this performance is accurate astrophysical component separation, and the ability to remove polarized thermal dust emission is particularly important. In this paper we note that the CMB frequency spectrum falls off nearly exponentially above 300 GHz relative to the thermal dust spectral energy distribution, and a relatively minor high frequency extension can therefore result in even lower uncertainties and better model reconstructions. Specifically, we compared the baseline design with five extended configurations, while varying the underlying dust modeling, in each of which the High-Frequency Telescope (HFT) frequency range was shifted logarithmically toward higher frequencies, with an upper cutoff ranging between 400 and 600 GHz. In each case, we measured the tensor-to-scalar ratio r uncertainty and bias using both parametric and minimum-variance component-separation algorithms. When themore » thermal dust sky model includes a spatially varying spectral index and temperature, we find that the statistical uncertainty on r after foreground cleaning may be reduced by as much as 30–50% by extending the upper limit of the frequency range from 400 to 600 GHz, with most of the improvement already gained at 500 GHz. We also note that a broader frequency range leads to higher residuals when fitting an incorrect dust model, but also it is easier to discriminate between models through higher χ2 sensitivity. Even in the case in which the fitting procedure does not correspond to the underlying dust model in the sky, and when the highest frequency data cannot be modeled with sufficient fidelity and must be excluded from the analysis, the uncertainty on r increases by only about 5% for a 500 GHz configuration compared to the baseline.« less

Authors:
; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; more »; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; « less
Publication Date:
Research Org.:
SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC); National Aeronautics and Space Administration (NASA)
Contributing Org.:
LiteBIRD Collaboration
OSTI Identifier:
1998775
Grant/Contract Number:  
AC02-76SF00515; 80NSSC18K0132
Resource Type:
Accepted Manuscript
Journal Name:
Astronomy and Astrophysics
Additional Journal Information:
Journal Volume: 676; Journal ID: ISSN 0004-6361
Publisher:
EDP Sciences
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS; ISM; cosmology; observations; cosmic background radiation; polarization; cosmological parameters; galaxy

Citation Formats

Fuskeland, U., Aumont, J., Aurlien, R., Baccigalupi, C., Banday, A. J., Eriksen, H. K., Errard, J., Génova-Santos, R. T., Hasebe, T., Hubmayr, J., Imada, H., Krachmalnicoff, N., Lamagna, L., Pisano, G., Poletti, D., Remazeilles, M., Thompson, K. L., Vacher, L., Wehus, I. K., Azzoni, S., Ballardini, M., Barreiro, R. B., Bartolo, N., Basyrov, A., Beck, D., Bersanelli, M., Bortolami, M., Brilenkov, M., Calabrese, E., Carones, A., Casas, F. J., Cheung, K., Chluba, J., Clark, S. E., Clermont, L., Columbro, F., Coppolecchia, A., D’Alessandro, G., de Bernardis, P., de Haan, T., de la Hoz, E., De Petris, M., Della Torre, S., Diego-Palazuelos, P., Finelli, F., Franceschet, C., Galloni, G., Galloway, M., Gerbino, M., Gervasi, M., Ghigna, T., Giardiello, S., Gjerløw, E., Gruppuso, A., Hargrave, P., Hattori, M., Hazumi, M., Hergt, L. T., Herman, D., Herranz, D., Hivon, E., Hoang, T. D., Kohri, K., Lattanzi, M., Lee, A. T., Leloup, C., Levrier, F., Lonappan, A. I., Luzzi, G., Maffei, B., Martínez-González, E., Masi, S., Matarrese, S., Matsumura, T., Migliaccio, M., Montier, L., Morgante, G., Mot, B., Mousset, L., Nagata, R., Namikawa, T., Nati, F., Natoli, P., Nerval, S., Novelli, A., Pagano, L., Paiella, A., Paoletti, D., Pascual-Cisneros, G., Patanchon, G., Pelgrims, V., Piacentini, F., Piccirilli, G., Polenta, G., Puglisi, G., Raffuzzi, N., Ritacco, A., Rubino-Martin, J. A., Savini, G., Scott, D., Sekimoto, Y., Shiraishi, M., Signorelli, G., Stever, S. L., Stutzer, N., Sullivan, R. M., Takakura, H., Terenzi, L., Thommesen, H., Tristram, M., Tsuji, M., Vielva, P., Weller, J., Westbrook, B., Weymann-Despres, G., Wollack, E. J., and Zannoni, M. Tensor-to-scalar ratio forecasts for extended LiteBIRD frequency configurations. United States: N. p., 2023. Web. doi:10.1051/0004-6361/202346155.
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Fuskeland, U., Aumont, J., Aurlien, R., Baccigalupi, C., Banday, A. J., Eriksen, H. K., Errard, J., Génova-Santos, R. T., Hasebe, T., Hubmayr, J., Imada, H., Krachmalnicoff, N., Lamagna, L., Pisano, G., Poletti, D., Remazeilles, M., Thompson, K. L., Vacher, L., Wehus, I. K., Azzoni, S., Ballardini, M., Barreiro, R. B., Bartolo, N., Basyrov, A., Beck, D., Bersanelli, M., Bortolami, M., Brilenkov, M., Calabrese, E., Carones, A., Casas, F. J., Cheung, K., Chluba, J., Clark, S. E., Clermont, L., Columbro, F., Coppolecchia, A., D’Alessandro, G., de Bernardis, P., de Haan, T., de la Hoz, E., De Petris, M., Della Torre, S., Diego-Palazuelos, P., Finelli, F., Franceschet, C., Galloni, G., Galloway, M., Gerbino, M., Gervasi, M., Ghigna, T., Giardiello, S., Gjerløw, E., Gruppuso, A., Hargrave, P., Hattori, M., Hazumi, M., Hergt, L. T., Herman, D., Herranz, D., Hivon, E., Hoang, T. D., Kohri, K., Lattanzi, M., Lee, A. T., Leloup, C., Levrier, F., Lonappan, A. I., Luzzi, G., Maffei, B., Martínez-González, E., Masi, S., Matarrese, S., Matsumura, T., Migliaccio, M., Montier, L., Morgante, G., Mot, B., Mousset, L., Nagata, R., Namikawa, T., Nati, F., Natoli, P., Nerval, S., Novelli, A., Pagano, L., Paiella, A., Paoletti, D., Pascual-Cisneros, G., Patanchon, G., Pelgrims, V., Piacentini, F., Piccirilli, G., Polenta, G., Puglisi, G., Raffuzzi, N., Ritacco, A., Rubino-Martin, J. A., Savini, G., Scott, D., Sekimoto, Y., Shiraishi, M., Signorelli, G., Stever, S. L., Stutzer, N., Sullivan, R. M., Takakura, H., Terenzi, L., Thommesen, H., Tristram, M., Tsuji, M., Vielva, P., Weller, J., Westbrook, B., Weymann-Despres, G., Wollack, E. J., & Zannoni, M. Tensor-to-scalar ratio forecasts for extended LiteBIRD frequency configurations. United States. https://doi.org/10.1051/0004-6361/202346155
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Fuskeland, U., Aumont, J., Aurlien, R., Baccigalupi, C., Banday, A. J., Eriksen, H. K., Errard, J., Génova-Santos, R. T., Hasebe, T., Hubmayr, J., Imada, H., Krachmalnicoff, N., Lamagna, L., Pisano, G., Poletti, D., Remazeilles, M., Thompson, K. L., Vacher, L., Wehus, I. K., Azzoni, S., Ballardini, M., Barreiro, R. B., Bartolo, N., Basyrov, A., Beck, D., Bersanelli, M., Bortolami, M., Brilenkov, M., Calabrese, E., Carones, A., Casas, F. J., Cheung, K., Chluba, J., Clark, S. E., Clermont, L., Columbro, F., Coppolecchia, A., D’Alessandro, G., de Bernardis, P., de Haan, T., de la Hoz, E., De Petris, M., Della Torre, S., Diego-Palazuelos, P., Finelli, F., Franceschet, C., Galloni, G., Galloway, M., Gerbino, M., Gervasi, M., Ghigna, T., Giardiello, S., Gjerløw, E., Gruppuso, A., Hargrave, P., Hattori, M., Hazumi, M., Hergt, L. T., Herman, D., Herranz, D., Hivon, E., Hoang, T. D., Kohri, K., Lattanzi, M., Lee, A. T., Leloup, C., Levrier, F., Lonappan, A. I., Luzzi, G., Maffei, B., Martínez-González, E., Masi, S., Matarrese, S., Matsumura, T., Migliaccio, M., Montier, L., Morgante, G., Mot, B., Mousset, L., Nagata, R., Namikawa, T., Nati, F., Natoli, P., Nerval, S., Novelli, A., Pagano, L., Paiella, A., Paoletti, D., Pascual-Cisneros, G., Patanchon, G., Pelgrims, V., Piacentini, F., Piccirilli, G., Polenta, G., Puglisi, G., Raffuzzi, N., Ritacco, A., Rubino-Martin, J. A., Savini, G., Scott, D., Sekimoto, Y., Shiraishi, M., Signorelli, G., Stever, S. L., Stutzer, N., Sullivan, R. M., Takakura, H., Terenzi, L., Thommesen, H., Tristram, M., Tsuji, M., Vielva, P., Weller, J., Westbrook, B., Weymann-Despres, G., Wollack, E. J., and Zannoni, M. Fri . "Tensor-to-scalar ratio forecasts for extended LiteBIRD frequency configurations". United States. https://doi.org/10.1051/0004-6361/202346155. https://www.osti.gov/servlets/purl/1998775.
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@article{osti_1998775,
title = {Tensor-to-scalar ratio forecasts for extended LiteBIRD frequency configurations},
author = {Fuskeland, U. and Aumont, J. and Aurlien, R. and Baccigalupi, C. and Banday, A. J. and Eriksen, H. K. and Errard, J. and Génova-Santos, R. T. and Hasebe, T. and Hubmayr, J. and Imada, H. and Krachmalnicoff, N. and Lamagna, L. and Pisano, G. and Poletti, D. and Remazeilles, M. and Thompson, K. L. and Vacher, L. and Wehus, I. K. and Azzoni, S. and Ballardini, M. and Barreiro, R. B. and Bartolo, N. and Basyrov, A. and Beck, D. and Bersanelli, M. and Bortolami, M. and Brilenkov, M. and Calabrese, E. and Carones, A. and Casas, F. J. and Cheung, K. and Chluba, J. and Clark, S. E. and Clermont, L. and Columbro, F. and Coppolecchia, A. and D’Alessandro, G. and de Bernardis, P. and de Haan, T. and de la Hoz, E. and De Petris, M. and Della Torre, S. and Diego-Palazuelos, P. and Finelli, F. and Franceschet, C. and Galloni, G. and Galloway, M. and Gerbino, M. and Gervasi, M. and Ghigna, T. and Giardiello, S. and Gjerløw, E. and Gruppuso, A. and Hargrave, P. and Hattori, M. and Hazumi, M. and Hergt, L. T. and Herman, D. and Herranz, D. and Hivon, E. and Hoang, T. D. and Kohri, K. and Lattanzi, M. and Lee, A. T. and Leloup, C. and Levrier, F. and Lonappan, A. I. and Luzzi, G. and Maffei, B. and Martínez-González, E. and Masi, S. and Matarrese, S. and Matsumura, T. and Migliaccio, M. and Montier, L. and Morgante, G. and Mot, B. and Mousset, L. and Nagata, R. and Namikawa, T. and Nati, F. and Natoli, P. and Nerval, S. and Novelli, A. and Pagano, L. and Paiella, A. and Paoletti, D. and Pascual-Cisneros, G. and Patanchon, G. and Pelgrims, V. and Piacentini, F. and Piccirilli, G. and Polenta, G. and Puglisi, G. and Raffuzzi, N. and Ritacco, A. and Rubino-Martin, J. A. and Savini, G. and Scott, D. and Sekimoto, Y. and Shiraishi, M. and Signorelli, G. and Stever, S. L. and Stutzer, N. and Sullivan, R. M. and Takakura, H. and Terenzi, L. and Thommesen, H. and Tristram, M. and Tsuji, M. and Vielva, P. and Weller, J. and Westbrook, B. and Weymann-Despres, G. and Wollack, E. J. and Zannoni, M.},
abstractNote = {LiteBIRD is a planned JAXA-led cosmic microwave background (CMB) B-mode satellite experiment aiming for launch in the late 2020s, with a primary goal of detecting the imprint of primordial inflationary gravitational waves. Its current baseline focal-plane configuration includes 15 frequency bands between 40 and 402 GHz, fulfilling the mission requirements to detect the amplitude of gravitational waves with the total uncertainty on the tensor-to-scalar ratio, δr, down to δr < 0.001. A key aspect of this performance is accurate astrophysical component separation, and the ability to remove polarized thermal dust emission is particularly important. In this paper we note that the CMB frequency spectrum falls off nearly exponentially above 300 GHz relative to the thermal dust spectral energy distribution, and a relatively minor high frequency extension can therefore result in even lower uncertainties and better model reconstructions. Specifically, we compared the baseline design with five extended configurations, while varying the underlying dust modeling, in each of which the High-Frequency Telescope (HFT) frequency range was shifted logarithmically toward higher frequencies, with an upper cutoff ranging between 400 and 600 GHz. In each case, we measured the tensor-to-scalar ratio r uncertainty and bias using both parametric and minimum-variance component-separation algorithms. When the thermal dust sky model includes a spatially varying spectral index and temperature, we find that the statistical uncertainty on r after foreground cleaning may be reduced by as much as 30–50% by extending the upper limit of the frequency range from 400 to 600 GHz, with most of the improvement already gained at 500 GHz. We also note that a broader frequency range leads to higher residuals when fitting an incorrect dust model, but also it is easier to discriminate between models through higher χ2 sensitivity. Even in the case in which the fitting procedure does not correspond to the underlying dust model in the sky, and when the highest frequency data cannot be modeled with sufficient fidelity and must be excluded from the analysis, the uncertainty on r increases by only about 5% for a 500 GHz configuration compared to the baseline.},
doi = {10.1051/0004-6361/202346155},
journal = {Astronomy and Astrophysics},
number = ,
volume = 676,
place = {United States},
year = {Fri Aug 04 00:00:00 EDT 2023},
month = {Fri Aug 04 00:00:00 EDT 2023}
}
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