BICEP/Keck. XX. Component-separated Maps of the Polarized Cosmic Microwave Background and Thermal Dust Emission Using Planck and BICEP/Keck Observations through the 2018 Observing Season

Abstract We present component-separated polarization maps of the cosmic microwave background (CMB) and Galactic thermal dust emission, derived using data from the BICEP/Keck experiments through the 2018 observing season and Planck. By employing a maximum-likelihood method that utilizes observing matrices, we produce unbiased maps of the CMB and dust signals. We outline the computational challenges and demonstrate an efficient implementation of the component map estimator. We show methods to compute and characterize power spectra of these maps, opening up an alternative way to infer the tensor-to-scalar ratio from our data. We compare the results of this map-based separation method with the baseline BICEP/Keck analysis. Our analysis demonstrates consistency between the two methods, finding an 84% correlation between the pipelines.

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Publication Details

Journal
The Astrophysical Journal
Published
2026-02-25
DOI
https://doi.org/10.3847/1538-4357/ae3e53
Primary Topic
Cosmology and Gravitation Theories
Type
article
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article

BICEP/Keck. XX. Component-separated Maps of the Polarized Cosmic Microwave Background and Thermal Dust Emission Using Planck and BICEP/Keck Observations through the 2018 Observing Season

T. H. Liu, V. Buza, J. J. Bock, J. R. Cheshire IV et al.
The Astrophysical Journal
Cosmology and Gravitation Theories
article

BICEP/Keck. XX. Component-separated Maps of the Polarized Cosmic Microwave Background and Thermal Dust Emission Using Planck and BICEP/Keck Observations through the 2018 Observing Season

T. H. Liu, V. Buza, J. J. Bock, J. R. Cheshire IV, K. D. Irwin, J. Cornelison, L. Zeng, C. D. Reintsema, A. Patel, C. Kuo, R. Schwarz, C. Giannakopoulos, C. Yu, S. Zhang, S. Mackey, A. Lennox, R. Sudiwala, C. D. Sheehy, J. H. Kang, S. Fatigoni, B. Steinbach, M. Gao, B. D. Elwood, T. Romand, H. Yang, A. Fortes, E. Hand, M. A. Petroff, A. Wandui, J. A. Grayson, D. Beck, K. L. Thompson, S. Gratton, K. Lau, A. Soliman, L. Moncelsi, H. Boenish, Z. Ahmed, T. St Germaine, J. P. Filippini, L. Minutolo, M. Lautzenhiser, G. Hall, E. Denison, A. G. Vieregg, C. L. Wong, A. Schillaci, N. Goeckner-Wald, J. M. Kovac, L. Duband, A. Greathouse, R. O’Brient, H. Hui, B. Schmitt, M. Halpern, S. N. Paine, J. Connors, K. Lasko, A. Steiger, C. Pryke, G. Halal, T. Prouve, C. Zhang, P. K. Grimes, W. L. K. Wu, N. Maher, T. D. Hoang, S. Kefeli, C. Vergès, B. Cantrall, M. Crumrine, A. R. Polish, S. Richter, Y. Nakato, B. Singari, M. Eiben, A. C. Weber, K. G. Megerian, C. A. Bischoff, K. S. Karkare, G. P. Teply, A. J. Cukierman, M. Salatino, S. Henderson, J. Willmert, H. T. Nguyen, J. Hubmayr, M. Amiri, S. A. Harrison, R. Basu Thakur, P. A. R. Ade, A. D. Turner, D. Barkats, M. Echter, D. C. Goldfinger, C. Tucker
article en

Abstract

Abstract We present component-separated polarization maps of the cosmic microwave background (CMB) and Galactic thermal dust emission, derived using data from the BICEP/Keck experiments through the 2018 observing season and Planck. By employing a maximum-likelihood method that utilizes observing matrices, we produce unbiased maps of the CMB and dust signals. We outline the computational challenges and demonstrate an efficient implementation of the component map estimator. We show methods to compute and characterize power spectra of these maps, opening up an alternative way to infer the tensor-to-scalar ratio from our data. We compare the results of this map-based separation method with the baseline BICEP/Keck analysis. Our analysis demonstrates consistency between the two methods, finding an 84% correlation between the pipelines.

The Astrophysical JournalVol. 999(1)
Openalex Percentile: Top 44%
Cosmology and Gravitation Theories
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