Optimal Cosmic Microwave Background Lensing Reconstruction and Parameter Estimation with SPTpol Data
Here, we perform the first simultaneous Bayesian parameter inference and optimal reconstruction of the gravitational lensing of the cosmic microwave background (CMB), using 100 deg 2 of polarization observations from the SPTpol receiver on the South Pole Telescope. These data reach noise levels as l...
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2023
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Online Access: | http://www.osti.gov/servlets/purl/1960375 https://www.osti.gov/biblio/1960375 https://doi.org/10.3847/1538-4357/ac02bb |
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ftosti:oai:osti.gov:1960375 2023-07-30T04:06:55+02:00 Optimal Cosmic Microwave Background Lensing Reconstruction and Parameter Estimation with SPTpol Data Millea, M. Daley, C. M. Chou, T-L Anderes, E. Ade, P. R. Anderson, A. J. Austermann, J. E. Avva, J. S. Beall, J. A. Bender, A. N. Benson, B. A. Bianchini, F. Bleem, L. E. Carlstrom, J. E. Chang, C. L. Chaubal, P. Chiang, H. C. Citron, R. Moran, C. Corbett Crawford, T. M. Crites, A. T. de Haan, T. Dobbs, M. A. Everett, W. Gallicchio, J. George, E. M. Goeckner-Wald, N. Guns, S. Gupta, N. Halverson, N. W. Henning, J. W. Hilton, G. C. Holder, G. P. Holzapfel, W. L. Hrubes, J. D. Huang, N. Hubmayr, J. Irwin, K. D. Knox, L. Lee, A. T. Li, D. Lowitz, A. McMahon, J. J. Meyer, S. S. Mocanu, L. M. Montgomery, J. Natoli, T. Nibarger, J. P. Noble, G. Novosad, V. Omori, Y. Padin, S. Patil, S. Pryke, C. Reichardt, C. L. Ruhl, J. E. Saliwanchik, B. R. Schaffer, K. K. Sievers, C. Smecher, G. Stark, A. A. Thorne, B. Tucker, C. Veach, T. Vieira, J. D. Wang, G. Whitehorn, N. Wu, W. K. Yefremenko, V. 2023-03-28 application/pdf http://www.osti.gov/servlets/purl/1960375 https://www.osti.gov/biblio/1960375 https://doi.org/10.3847/1538-4357/ac02bb unknown http://www.osti.gov/servlets/purl/1960375 https://www.osti.gov/biblio/1960375 https://doi.org/10.3847/1538-4357/ac02bb doi:10.3847/1538-4357/ac02bb 79 ASTRONOMY AND ASTROPHYSICS 2023 ftosti https://doi.org/10.3847/1538-4357/ac02bb 2023-07-11T10:25:11Z Here, we perform the first simultaneous Bayesian parameter inference and optimal reconstruction of the gravitational lensing of the cosmic microwave background (CMB), using 100 deg 2 of polarization observations from the SPTpol receiver on the South Pole Telescope. These data reach noise levels as low as 5.8 μK arcmin in polarization, which are low enough that the typically used quadratic estimator (QE) technique for analyzing CMB lensing is significantly suboptimal. Conversely, the Bayesian procedure extracts all lensing information from the data and is optimal at any noise level. We infer the amplitude of the gravitational lensing potential to be ${A}_{\phi }=0.949\,\pm \,0.122$ using the Bayesian pipeline, consistent with our QE pipeline result, but with 17% smaller error bars. The Bayesian analysis also provides a simple way to account for systematic uncertainties, performing a similar job as frequentist "bias hardening" or linear bias correction, and reducing the systematic uncertainty on A Φ due to polarization calibration from almost half of the statistical error to effectively zero. Finally, we jointly constrain A Φ along with A L , the amplitude of lensing-like effects on the CMB power spectra, demonstrating that the Bayesian method can be used to easily infer parameters both from an optimal lensing reconstruction and from the delensed CMB, while exactly accounting for the correlation between the two. These results demonstrate the feasibility of the Bayesian approach on real data, and pave the way for future analysis of deep CMB polarization measurements with SPT-3G, Simons Observatory, and CMB-S4, where improvements relative to the QE can reach 1.5 times tighter constraints on A Φ and seven times lower effective lensing reconstruction noise. Other/Unknown Material South pole SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) South Pole The Astrophysical Journal 922 2 259 |
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Open Polar |
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SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) |
op_collection_id |
ftosti |
language |
unknown |
topic |
79 ASTRONOMY AND ASTROPHYSICS |
spellingShingle |
79 ASTRONOMY AND ASTROPHYSICS Millea, M. Daley, C. M. Chou, T-L Anderes, E. Ade, P. R. Anderson, A. J. Austermann, J. E. Avva, J. S. Beall, J. A. Bender, A. N. Benson, B. A. Bianchini, F. Bleem, L. E. Carlstrom, J. E. Chang, C. L. Chaubal, P. Chiang, H. C. Citron, R. Moran, C. Corbett Crawford, T. M. Crites, A. T. de Haan, T. Dobbs, M. A. Everett, W. Gallicchio, J. George, E. M. Goeckner-Wald, N. Guns, S. Gupta, N. Halverson, N. W. Henning, J. W. Hilton, G. C. Holder, G. P. Holzapfel, W. L. Hrubes, J. D. Huang, N. Hubmayr, J. Irwin, K. D. Knox, L. Lee, A. T. Li, D. Lowitz, A. McMahon, J. J. Meyer, S. S. Mocanu, L. M. Montgomery, J. Natoli, T. Nibarger, J. P. Noble, G. Novosad, V. Omori, Y. Padin, S. Patil, S. Pryke, C. Reichardt, C. L. Ruhl, J. E. Saliwanchik, B. R. Schaffer, K. K. Sievers, C. Smecher, G. Stark, A. A. Thorne, B. Tucker, C. Veach, T. Vieira, J. D. Wang, G. Whitehorn, N. Wu, W. K. Yefremenko, V. Optimal Cosmic Microwave Background Lensing Reconstruction and Parameter Estimation with SPTpol Data |
topic_facet |
79 ASTRONOMY AND ASTROPHYSICS |
description |
Here, we perform the first simultaneous Bayesian parameter inference and optimal reconstruction of the gravitational lensing of the cosmic microwave background (CMB), using 100 deg 2 of polarization observations from the SPTpol receiver on the South Pole Telescope. These data reach noise levels as low as 5.8 μK arcmin in polarization, which are low enough that the typically used quadratic estimator (QE) technique for analyzing CMB lensing is significantly suboptimal. Conversely, the Bayesian procedure extracts all lensing information from the data and is optimal at any noise level. We infer the amplitude of the gravitational lensing potential to be ${A}_{\phi }=0.949\,\pm \,0.122$ using the Bayesian pipeline, consistent with our QE pipeline result, but with 17% smaller error bars. The Bayesian analysis also provides a simple way to account for systematic uncertainties, performing a similar job as frequentist "bias hardening" or linear bias correction, and reducing the systematic uncertainty on A Φ due to polarization calibration from almost half of the statistical error to effectively zero. Finally, we jointly constrain A Φ along with A L , the amplitude of lensing-like effects on the CMB power spectra, demonstrating that the Bayesian method can be used to easily infer parameters both from an optimal lensing reconstruction and from the delensed CMB, while exactly accounting for the correlation between the two. These results demonstrate the feasibility of the Bayesian approach on real data, and pave the way for future analysis of deep CMB polarization measurements with SPT-3G, Simons Observatory, and CMB-S4, where improvements relative to the QE can reach 1.5 times tighter constraints on A Φ and seven times lower effective lensing reconstruction noise. |
author |
Millea, M. Daley, C. M. Chou, T-L Anderes, E. Ade, P. R. Anderson, A. J. Austermann, J. E. Avva, J. S. Beall, J. A. Bender, A. N. Benson, B. A. Bianchini, F. Bleem, L. E. Carlstrom, J. E. Chang, C. L. Chaubal, P. Chiang, H. C. Citron, R. Moran, C. Corbett Crawford, T. M. Crites, A. T. de Haan, T. Dobbs, M. A. Everett, W. Gallicchio, J. George, E. M. Goeckner-Wald, N. Guns, S. Gupta, N. Halverson, N. W. Henning, J. W. Hilton, G. C. Holder, G. P. Holzapfel, W. L. Hrubes, J. D. Huang, N. Hubmayr, J. Irwin, K. D. Knox, L. Lee, A. T. Li, D. Lowitz, A. McMahon, J. J. Meyer, S. S. Mocanu, L. M. Montgomery, J. Natoli, T. Nibarger, J. P. Noble, G. Novosad, V. Omori, Y. Padin, S. Patil, S. Pryke, C. Reichardt, C. L. Ruhl, J. E. Saliwanchik, B. R. Schaffer, K. K. Sievers, C. Smecher, G. Stark, A. A. Thorne, B. Tucker, C. Veach, T. Vieira, J. D. Wang, G. Whitehorn, N. Wu, W. K. Yefremenko, V. |
author_facet |
Millea, M. Daley, C. M. Chou, T-L Anderes, E. Ade, P. R. Anderson, A. J. Austermann, J. E. Avva, J. S. Beall, J. A. Bender, A. N. Benson, B. A. Bianchini, F. Bleem, L. E. Carlstrom, J. E. Chang, C. L. Chaubal, P. Chiang, H. C. Citron, R. Moran, C. Corbett Crawford, T. M. Crites, A. T. de Haan, T. Dobbs, M. A. Everett, W. Gallicchio, J. George, E. M. Goeckner-Wald, N. Guns, S. Gupta, N. Halverson, N. W. Henning, J. W. Hilton, G. C. Holder, G. P. Holzapfel, W. L. Hrubes, J. D. Huang, N. Hubmayr, J. Irwin, K. D. Knox, L. Lee, A. T. Li, D. Lowitz, A. McMahon, J. J. Meyer, S. S. Mocanu, L. M. Montgomery, J. Natoli, T. Nibarger, J. P. Noble, G. Novosad, V. Omori, Y. Padin, S. Patil, S. Pryke, C. Reichardt, C. L. Ruhl, J. E. Saliwanchik, B. R. Schaffer, K. K. Sievers, C. Smecher, G. Stark, A. A. Thorne, B. Tucker, C. Veach, T. Vieira, J. D. Wang, G. Whitehorn, N. Wu, W. K. Yefremenko, V. |
author_sort |
Millea, M. |
title |
Optimal Cosmic Microwave Background Lensing Reconstruction and Parameter Estimation with SPTpol Data |
title_short |
Optimal Cosmic Microwave Background Lensing Reconstruction and Parameter Estimation with SPTpol Data |
title_full |
Optimal Cosmic Microwave Background Lensing Reconstruction and Parameter Estimation with SPTpol Data |
title_fullStr |
Optimal Cosmic Microwave Background Lensing Reconstruction and Parameter Estimation with SPTpol Data |
title_full_unstemmed |
Optimal Cosmic Microwave Background Lensing Reconstruction and Parameter Estimation with SPTpol Data |
title_sort |
optimal cosmic microwave background lensing reconstruction and parameter estimation with sptpol data |
publishDate |
2023 |
url |
http://www.osti.gov/servlets/purl/1960375 https://www.osti.gov/biblio/1960375 https://doi.org/10.3847/1538-4357/ac02bb |
geographic |
South Pole |
geographic_facet |
South Pole |
genre |
South pole |
genre_facet |
South pole |
op_relation |
http://www.osti.gov/servlets/purl/1960375 https://www.osti.gov/biblio/1960375 https://doi.org/10.3847/1538-4357/ac02bb doi:10.3847/1538-4357/ac02bb |
op_doi |
https://doi.org/10.3847/1538-4357/ac02bb |
container_title |
The Astrophysical Journal |
container_volume |
922 |
container_issue |
2 |
container_start_page |
259 |
_version_ |
1772819892623376384 |