Optimal Cosmic Microwave Background Lensing Reconstruction and Parameter Estimation with SPTpol Data

• Published in: The Astrophysical Journal
• Main Authors: Millea, M., Daley, C. M., Chou, T-L., Anderes, E., Ade, P. A. 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. L. K., Yefremenko, V.
• Format: Article in Journal/Newspaper
• Language: unknown
• Published: American Astronomical Society 2021
• Subjects: Cosmology; Cosmic microwave background radiation; Gravitational lensing; Weak gravitational lensing; Bayesian statistics; Space and Planetary Science; Astronomy and Astrophysics; South Pole; South pole
• Online Access: https://doi.org/10.3847/1538-4357/ac02bb

We perform the first simultaneous Bayesian parameter inference and optimal reconstruction of the gravitational lensing of the cosmic microwave background (CMB), using 100 deg2 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_ϕ = 0.949 ± 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. © 2021. The American Astronomical Society. Received 2020 December 8; revised 2021 May 6; accepted 2021 May 17; published 2021 December 6. M.M. thanks Uros Seljak for useful discussions. The South Pole Telescope (SPT) is supported by the National Science Foundation through ...